#Agricultural data analysis

[jcmarchi]

Harvesting Intelligence: How Generative AI is Transforming Agriculture

New Post has been published on https://thedigitalinsider.com/harvesting-intelligence-how-generative-ai-is-transforming-agriculture/

Harvesting Intelligence: How Generative AI is Transforming Agriculture

In the age of digital transformation, agriculture is no longer just about soil, water, and sunlight. With the advent of generative AI, agriculture is becoming smarter, more efficient, and increasingly data driven. From predicting crop yields with unprecedented accuracy to developing disease-resistant plant varieties, generative AI enables farmers to make precise decisions that optimize yields and resource use. This article examines how generative AI is changing agriculture, looking at its impact on traditional farming practices and its potential for the future.

Understanding Generative AI

Generative AI is a type of artificial intelligence designed to produce new content—whether it’s text, images, or predictive models—based on patterns and examples it has learned from existing data. Unlike traditional AI, which focuses on recognizing patterns or making predictions, generative AI creates original outputs that closely mimic the data it was trained on. This makes it a powerful tool for enhancing decision-making and driving innovation. A key feature of generative AI is to facilitate building AI applications without much labelled training data. This feature is particularly beneficial in fields like agriculture, where acquiring labeled training data can be challenging and costly.

The development of generative AI models involves two main steps: pre-training and fine-tuning. In the pre-training phase, the model is trained on extensive amounts of data to learn general patterns. This process establishes a “foundation” model with broad and versatile knowledge. In the second phase, the pre-trained model is fine-tuned for specific tasks by training it on a smaller, more focused dataset relevant to the intended application, such as detecting crop diseases. These targeted uses of generative AI are referred to as downstream applications. This approach allows the model to perform specialized tasks effectively while leveraging the broad understanding gained during pre-training.

How Generative AI is Transforming Agriculture

In this section, we explore various downstream applications of generative AI in agriculture.

Generative AI as Agronomist Assistant: One of the ongoing issues in agriculture is the lack of qualified agronomists who can offer expert advice on crop production and protection. Addressing this challenge, generative AI can serve as an agronomist assistant by offering farmers immediate expert advice through chatbots. In this context, a recent Microsoft study evaluated how generative AI models, like GPT-4, performed on agriculture-related questions from certification exams in Brazil, India, and the USA. The results were encouraging, showing GPT-4’s ability to handle domain-specific knowledge effectively. However, adapting these models to local, specialized data remains a challenge. Microsoft Research tested two approaches—fine-tuning, which trains models on specific data, and Retrieval-Augmented Generation (RAG), which enhances responses by retrieving relevant documents, reporting these relative advantages.

Generative AI for Addressing Data Scarcity in Agriculture: Another key challenge in applying AI to agriculture is the shortage of labeled training data, which is crucial for building effective models. In agriculture, where labeling data can be labor-intensive and costly, generative AI offers a promising way forward. Generative AI stands out for its ability to work with large amounts of unlabeled historical data, learning general patterns that allow it to make accurate predictions with only a small number of labeled examples. Additionally, it can create synthetic training data, helping to fill gaps where data is scarce. By addressing these data challenges, generative AI improves the performance of AI in agriculture.

Precision Farming: Generative AI is changing precision farming by analyzing data from sources such as satellite imagery, soil sensors, and weather forecasts. It helps with predicting crop yields, automating fruit harvesting, managing livestock, and optimizing irrigation. These insights enable farmers to make better decisions, improving crop health and yields while using resources more efficiently. This approach not only increases productivity but also supports sustainable farming by reducing waste and environmental impact.

Generative AI for Disease Detection: Timely detection of pests, diseases, and nutrient deficiencies is crucial for protecting crops and reducing losses. Generative AI uses advanced image recognition and pattern analysis to identify early signs of these issues. By detecting problems early, farmers can take targeted actions, reduce the need for broad-spectrum pesticides, and minimize environmental impact. This integration of AI in agriculture enhances both sustainability and productivity.

How to Maximize the Impact of Generative AI in Agriculture

While current applications show that generative AI has potential in agriculture, getting the most out of this technology requires developing specialized generative AI models for the field. These models can better understand the nuances of farming, leading to more accurate and useful results compared to general-purpose models. They also adapt more effectively to different farming practices and conditions. The creation of these models, however, involves gathering large amounts of diverse agricultural data—such as crop and pest images, weather data, and insect sounds—and experimenting with different pretraining methods. Although progress is being made, there’s still a lot of work needed to build effective generative AI models for agriculture. Some of the potential use cases of generative AI for agriculture are mentioned below.

Potential Use Cases

A specialized generative AI model for agriculture could open several new opportunities in the field. Some key use cases include:

Smart Crop Management: In agriculture, smart crop management is a growing field that integrates AI, IoT, and big data to enhance tasks like plant growth monitoring, disease detection, yield monitoring, and harvesting. Developing precision crop management algorithms is challenging due to diverse crop types, environmental variables, and limited datasets, often requiring integration of varied data sources such as satellite imagery, soil sensors, and market trends. Generative AI models trained on extensive, multi-domain datasets offer a promising solution, as they can be fine-tuned with minimal examples for various applications. Additionally, multimodal generative AI integrates visual, textual, and sometimes auditory data, providing a comprehensive analytical approach that is invaluable for understanding complex agricultural situations, especially in precision crop management.

Automated Creation of Crop Varieties: Specialized generative AI can transform crop breeding by creating new plant varieties through exploring genetic combinations. By analyzing data on traits like drought resistance and growth rates, the AI generates innovative genetic blueprints and predicts their performance in different environments. This helps identify promising genetic combinations quickly, guiding breeding programs and accelerating the development of optimized crops. This approach aids farmers in adapting to changing conditions and market demands more effectively.

Smart Livestock Farming: Smart livestock farming leverages IoT, AI, and advanced control technologies to automate essential tasks like food and water supply, egg collection, activity monitoring, and environmental management. This approach aims to boost efficiency and cut costs in labor, maintenance, and materials. The field faces challenges due to the need for expertise across multiple fields and labor-intensive job. Generative AI could address these challenges by integrating extensive multimodal data and cross-domain knowledge, helping to streamline decision-making and automate livestock management.

Agricultural robots: Agricultural robots are transforming modern farming by automating tasks such as planting, weeding, harvesting, and monitoring crop health. AI-guided robots can precisely remove weeds and drones with advanced sensors can detect diseases and pests early, reducing yield losses. Developing these robots requires expertise in robotics, AI, plant science, environmental science, and data analytics, handling complex data from various sources. Generative AI offers a promising solution for automating various tasks of agricultural robots by providing advanced vision, predictive, and control capabilities.

 The Bottom Line

Generative AI is reshaping agriculture with smarter, data-driven solutions that improve efficiency and sustainability. By enhancing crop yield predictions, disease detection, and crop breeding, this technology is transforming traditional farming practices. While current applications are promising, the real potential lies in developing specialized AI models tailored to the unique needs of agriculture. As we refine these models and integrate diverse data, we can unlock new opportunities to help farmers optimize their practices and better navigate the challenges of modern farming.

[projectchampionz]

Explore These Exciting DSU Micro Project Ideas

Explore These Exciting DSU Micro Project Ideas Are you a student looking for an interesting micro project to work on? Developing small, self-contained projects is a great way to build your skills and showcase your abilities. At the Distributed Systems University (DSU), we offer a wide range of micro project topics that cover a variety of domains. In this blog post, we’ll explore some exciting DSU…

[airises]

"Revolutionizing Biotech: How AI is Transforming the Industry"

The biotech industry is on the cusp of a revolution, and Artificial Intelligence (AI) is leading the charge. AI is transforming the way biotech researchers and developers work, enabling them to make groundbreaking discoveries and develop innovative solutions at an unprecedented pace. “Accelerating Scientific Discovery with AI” AI is augmenting human capabilities in biotech research, enabling…

[ceresana]

Tear-resistant and flexible: Ceresana examines the world market for plastic films Stretching towards success: Plastic films get stronger and more transparent if they are stretched longitudinally and crosswise during production. The "biaxially oriented" plastics polypropylene (BOPP), polyethylene (BOPE) and polyester (BOPET) are processed into packaging, bags and sacks, shrink and stretch films, but also, for example, agricultural films, insulation material and industrial films. According to the latest Ceresana study on the global market for flexible plastic films, which is already the third edition, the revenues generated with these films will increase to around USD 339 billion by 2032. Further information about the new market study “Plastic Films – World (3rd edition)”: https://ceresana.com/en/produkt/plastic-films-market-report-world

[probablyasocialecologist]

RPTU University of Kaiserslautern-Landau has shown for the first time, in a joint study with BOKU University, that permaculture brings about a significant improvement in biodiversity, soil quality and carbon storage. In view of the challenges of climate change and species extinction, this type of agriculture proved to be a real alternative to conventional cultivation—and reconcile environmental protection and high yields. Permaculture uses natural cycles and ecosystems as blueprint. Food is produced in an agricultural ecosystem that is as self-regulating, natural and diverse as possible. For example, livestock farming is integrated into the cultivation of crops or the diversity of beneficial organisms is promoted in order to avoid the use of mineral fertilizers or pesticides. In a study, published in the journal Communications Earth & Environment, researchers from RPTU and BOKU have now, for the first time, comprehensively investigated the effects of this planning and management concept on the environment.

[...]

"Permaculture appears to be a much more ecologically sustainable alternative to industrial agriculture," said Julius Reiff . At the same time, the yields from permaculture are comparable to those of industrial agriculture, as the researchers' not yet published data shows. "In view of the challenges of climate change and biodiversity loss, the observed improvements would represent a real turnaround when applied to larger areas," says ecosystem analysis expert Martin Entling from RPTU.

4 July 2024

[cosmic-daydreamz02]

Career Reading

Placements to look at for your ideal career:

2nd house-how you make money

6th house-daily routine and work

10th house-career and public image

MC- career point.

11th house-social networks, long-term goals, opportunities for advancement (2nd from MC, so it shows the income from the career)

North Node - your life purpose and direction ; what you are meant to move towards in this lifetime

Part of Fortune - Where you find joy and success in this life, linked to both material and spiritual fulfillment

Vertex - represents fated encounters in your life. Where and how your destiny unfolds/ your turning point in life (not normally linked to career, but I think it can show what leads you to your true calling in this life especially if yours is in one of the money or career houses)

Saturn- rules discipline, structure, and long-term achievement, where you need to put in consistent effort to achieve success. Indicates your approach to responsibility in your career

Sun- core identity and life purpose, where you shine the most

Jupiter- expansion luck and growth. It shows your opportunities for success

Venus - where you can use your artistic abilities and social charm. It can also be how you attract money and resources

Signs and Career

Aries

• Career style: Assertive, pioneering, energetic, independent.

• Fields: Leadership roles, entrepreneurship, sports, military, anything involving action or competition.

• Drive: You take initiative and thrive in dynamic, fast-paced environments where you can be first.

Taurus

• Career style: Steady, practical, patient, and value-oriented.

• Fields: Finance, banking, agriculture, real estate, art, luxury goods, anything involving material wealth or beauty.

• Drive: Security, stability, and a focus on building long-term wealth. Aesthetic and sensory satisfaction are important.

Gemini

• Career style: Communicative, versatile, adaptable, intellectual.

• Fields: Journalism, writing, teaching, marketing, sales, technology, anything that involves communication or travel.

• Drive: Curiosity and intellectual stimulation. You thrive in dynamic, social environments where you can multitask.

Cancer

• Career style: Nurturing, protective, intuitive, emotionally driven.

• Fields: Healthcare, caregiving, real estate, hospitality, education, psychology, anything that involves caring for others.

• Drive: Emotional security and a need to create a safe, supportive environment. You work best when you feel connected to your work on an emotional level.

Leo

• Career style: Charismatic, creative, confident, leadership-focused.

• Fields: Entertainment, arts, fashion, politics, sports, anything involving self-expression and performance.

• Drive: Recognition, fame, and the desire to shine. You excel in careers where you can showcase your talents and leadership.

Virgo

• Career style: Detail-oriented, analytical, service-minded, organized.

• Fields: Healthcare, administration, research, editing, writing, data analysis, anything involving precision and service.

• Drive: Efficiency and perfection. You aim to serve others by improving systems or contributing to something meaningful.

Libra

• Career style: Diplomatic, collaborative, partnership-oriented, aesthetically inclined.

• Fields: Law, diplomacy, art, design, beauty, fashion, anything involving partnership or justice.

• Drive: Harmony and balance in professional relationships. You thrive in roles where teamwork, fairness, and aesthetics are valued.

Scorpio

• Career style: Intense, transformative, secretive, powerful.

• Fields: Psychology, research, finance (especially investments, taxes, inheritance), surgery, anything involving transformation or mystery.

• Drive: Power and control. You are drawn to careers that allow you to dig deep and uncover hidden truths or manage shared resources.

Sagittarius

• Career style: Adventurous, philosophical, expansive, freedom-loving.

• Fields: Education, travel, law, publishing, international business, anything that involves exploration and knowledge-sharing.

• Drive: Freedom and expansion. You seek opportunities that allow you to learn, grow, and explore new horizons.

Capricorn

• Career style: Ambitious, disciplined, authoritative, responsible.

• Fields: Business, politics, government, finance, engineering, management, anything that involves structure, authority, and long-term goals.

• Drive: Success and achievement. You are career-focused and work tirelessly toward building a solid reputation and legacy.

Aquarius

• Career style: Innovative, humanitarian, unconventional, forward-thinking.

• Fields: Technology, science, social reform, innovation, group work, anything involving progressive change or social impact.

• Drive: Making a difference and creating a better future. You work best in collaborative or unconventional environments that allow for innovation.

Pisces

• Career style: Compassionate, imaginative, spiritual, idealistic.

• Fields: Art, music, healing, psychology, spirituality, charity work, anything that involves creativity, intuition, or service to others.

• Drive: Helping others and finding deeper meaning. You’re drawn to careers where you can use your empathy and creativity to make a positive impact.

Houses and Career Focus

1st House (Self-Identity, Public Persona)

You identify closely with your career. You're meant for careers where you're the leader or face of whatever you do, you're meant to be in the public eye somehow.

2nd House (Money, Resources, Values)

Financial stability and security is what drives you in your career. You would do good in careers related to banking and finance or sales (more like selling luxury goods or real estate)

3rd House (Communication, Learning, Siblings)

Communication, education, and travel. Or working in media. Teaching, writing, or sales/ anything that involves exchanges of info

4th House (Home, Family, Roots)

Home design, family business, real estate. Care giving or working from home. Emotional fulfillment through your career

5th House (Creativity, Pleasure, Children)

Creative fields, working with children. Career allows for self-expression. performance or leadership roles

6th House (Work Environment, Health, Service)

Service industry, Healthcare (especially if you have heavy virgo/pisces or 6th/12th placements), administration, work that requires tedious precision and detail

7th House (Partnerships, Marriage)

Collaboration, requires partnerships in career. Law, any counseling/consulting work, diplomat

8th House (Shared Resources, Transformation)

Finance (other peoples money like taxes, inheritance, etc), psychology, research/investigation

9th House (Philosophy, Travel, Higher Education)

Higher education, travel, law, publishing, career could be linked to foreign lands, (travel vlogger, professor, resort owner?)

10th House (Career, Reputation, Public Life)

Leadership, recognition, achieving goals, public image and success are emphasized

11th House (Community, Goals, Social Networks)

Community service/humanitarian work, technology, collective work

12th House (Spirituality, Solitude, Healing)

Healing, spirituality, charity work, hospitals, or creative/behind the scenes work like set design, director etc

[fandomtrumpshate]

FTH 2025 Supported Org: Environmental Integrity Project

Climate crisis is here, and it’s urgent. Rising global temperatures and shrinking wildlands have caused a cascade of disasters for humans and non-humans alike. But although some of the effects of climate change are beyond the point of reversal, many can still be rolled back or avoided entirely – if we all work together.

EIP uses legal expertise and technical analysis to combat the air and water pollution, challenge permits that are too lax to protect public health, take legal actions against big polluters, advocate for stronger regulations, and release reports and data to inform the public about the many problems caused by fossil fuels. They also scrutinize the water and air emissions from factory farms, and use this data as part of their national efforts to push EPA to more closely regulate the pollution that livestock and agricultural runoff dump into our waterways.

You can support Environmental Integrity Project as a creator in the 2025 FTH auction (or as a bidder, when the time comes to donate for the auctions you’ve won.)

[reasonsforhope]

Determined to use her skills to fight inequality, South African computer scientist Raesetje Sefala set to work to build algorithms flagging poverty hotspots - developing datasets she hopes will help target aid, new housing, or clinics.

From crop analysis to medical diagnostics, artificial intelligence (AI) is already used in essential tasks worldwide, but Sefala and a growing number of fellow African developers are pioneering it to tackle their continent's particular challenges.

Local knowledge is vital for designing AI-driven solutions that work, Sefala said.

"If you don't have people with diverse experiences doing the research, it's easy to interpret the data in ways that will marginalise others," the 26-year old said from her home in Johannesburg.

Africa is the world's youngest and fastest-growing continent, and tech experts say young, home-grown AI developers have a vital role to play in designing applications to address local problems.

"For Africa to get out of poverty, it will take innovation and this can be revolutionary, because it's Africans doing things for Africa on their own," said Cina Lawson, Togo's minister of digital economy and transformation.

"We need to use cutting-edge solutions to our problems, because you don't solve problems in 2022 using methods of 20 years ago," Lawson told the Thomson Reuters Foundation in a video interview from the West African country.

Digital rights groups warn about AI's use in surveillance and the risk of discrimination, but Sefala said it can also be used to "serve the people behind the data points". ...

'Delivering Health'

As COVID-19 spread around the world in early 2020, government officials in Togo realized urgent action was needed to support informal workers who account for about 80% of the country's workforce, Lawson said.

"If you decide that everybody stays home, it means that this particular person isn't going to eat that day, it's as simple as that," she said.

In 10 days, the government built a mobile payment platform - called Novissi - to distribute cash to the vulnerable.

The government paired up with Innovations for Poverty Action (IPA) think tank and the University of California, Berkeley, to build a poverty map of Togo using satellite imagery.

Using algorithms with the support of GiveDirectly, a nonprofit that uses AI to distribute cash transfers, the recipients earning less than $1.25 per day and living in the poorest districts were identified for a direct cash transfer.

"We texted them saying if you need financial help, please register," Lawson said, adding that beneficiaries' consent and data privacy had been prioritized.

The entire program reached 920,000 beneficiaries in need.

"Machine learning has the advantage of reaching so many people in a very short time and delivering help when people need it most," said Caroline Teti, a Kenya-based GiveDirectly director.

'Zero Representation'

Aiming to boost discussion about AI in Africa, computer scientists Benjamin Rosman and Ulrich Paquet co-founded the Deep Learning Indaba - a week-long gathering that started in South Africa - together with other colleagues in 2017.

"You used to get to the top AI conferences and there was zero representation from Africa, both in terms of papers and people, so we're all about finding cost effective ways to build a community," Paquet said in a video call.

In 2019, 27 smaller Indabas - called IndabaX - were rolled out across the continent, with some events hosting as many as 300 participants.

One of these offshoots was IndabaX Uganda, where founder Bruno Ssekiwere said participants shared information on using AI for social issues such as improving agriculture and treating malaria.

Another outcome from the South African Indaba was Masakhane - an organization that uses open-source, machine learning to translate African languages not typically found in online programs such as Google Translate.

On their site, the founders speak about the South African philosophy of "Ubuntu" - a term generally meaning "humanity" - as part of their organization's values.

"This philosophy calls for collaboration and participation and community," reads their site, a philosophy that Ssekiwere, Paquet, and Rosman said has now become the driving value for AI research in Africa.

Inclusion

Now that Sefala has built a dataset of South Africa's suburbs and townships, she plans to collaborate with domain experts and communities to refine it, deepen inequality research and improve the algorithms.

"Making datasets easily available opens the door for new mechanisms and techniques for policy-making around desegregation, housing, and access to economic opportunity," she said.

African AI leaders say building more complete datasets will also help tackle biases baked into algorithms.

"Imagine rolling out Novissi in Benin, Burkina Faso, Ghana, Ivory Coast ... then the algorithm will be trained with understanding poverty in West Africa," Lawson said.

"If there are ever ways to fight bias in tech, it's by increasing diverse datasets ... we need to contribute more," she said.

But contributing more will require increased funding for African projects and wider access to computer science education and technology in general, Sefala said.

Despite such obstacles, Lawson said "technology will be Africa's savior".

"Let's use what is cutting edge and apply it straight away or as a continent we will never get out of poverty," she said. "It's really as simple as that."

-via Good Good Good, February 16, 2022

[mindblowingscience]

Tropical forests are essential to sustain high biodiversity and mitigate climate change. They suffer from deforestation, the cutting and converting of forests for agriculture, mining, or infrastructure purposes. However, significant human impacts on the remaining forests that lead to their degradation are often overlooked. By using multiple remote sensing data streams and cutting-edge data analysis, researchers have acquired an unprecedented view of the extent and long-lasting effects of such degradation in tropical moist forests. Their study, published in Nature, reveals that the effects of human-driven degradation and fragmentation are greater than previously estimated.

Continue Reading.

[jcmarchi]

Fermata Secures $10 Million Series A Funding to Revolutionize Agriculture with AI

New Post has been published on https://thedigitalinsider.com/fermata-secures-10-million-series-a-funding-to-revolutionize-agriculture-with-ai/

Fermata Secures $10 Million Series A Funding to Revolutionize Agriculture with AI

Fermata, a trailblazer in data science and computer vision for agriculture, has raised $10 million in a Series A funding round led by Raw Ventures. The investment will accelerate Fermata’s mission to transform the horticulture industry by building a centralized digital “brain” that combines advanced data analysis, AI-driven insights, and continuous learning to empower growers worldwide.

This funding comes at a critical juncture for agriculture. With the world facing increased food demand, reduced farmland, and unpredictable weather, Fermata’s technology offers a transformative solution for growers. By integrating real-time monitoring, predictive analytics, and actionable intelligence, Fermata bridges the gap between traditional farming methods and modern technology-driven solutions.

Tackling Agriculture’s Biggest Challenges

Despite the growing adoption of technology, agriculture remains fraught with inefficiencies. Farmers still rely heavily on manual methods and intuition, which can lead to missed early warnings of pests, diseases, or other crop stressors. Advanced greenhouses often generate overwhelming amounts of data, leaving growers struggling to extract meaningful insights. Fermata addresses these challenges with its flagship Croptimus™ platform, a comprehensive solution that integrates data collection, analysis, and actionable insights into a single, user-friendly interface.

Croptimus™: The Eyes and Brain of Agriculture

At the heart of Fermata’s offerings is the Croptimus™ platform, an AI-powered computer vision system designed to optimize crop health and yield. Croptimus™ monitors crops 24/7 using cameras that collect high-resolution imagery, which is then processed through advanced algorithms to detect pests, diseases, and nutrient deficiencies.

Key Features of Croptimus™

Automated Pest and Disease Detection:

Identifies issues like aphids, spider mites, powdery mildew, and mosaic virus before they become critical.

Provides early alerts, enabling growers to take preemptive action.

360° Crop Visualization:

Interactive visualizations overlay incident icons on crop images, allowing growers to explore their fields virtually.

Heat maps track the spread of pests or diseases over time, helping identify problem areas.

Data Integration and Scalability:

Integrates with existing sensors and data systems to provide a unified view of crop health.

Continuously learns from gathered data to improve accuracy and predictions.

Sustainability and Efficiency:

Reduces the need for harmful pesticides by up to 25%.

Saves growers up to 50% on scouting time and reduces crop loss by 30%.

“Croptimus™ is more than just a monitoring tool—it’s a decision-making assistant for growers,” explains Valeria Kogan, Fermata’s Founder and CEO. “We’ve spent the last five years perfecting this platform to ensure it meets the diverse needs of farmers, from pest detection to yield forecasting. This funding allows us to evolve Croptimus™ into a full-fledged brain for agriculture.”

Cutting-Edge AI and Strategic Partnerships

Fermata’s success is built on a foundation of advanced AI, machine learning, and a strong network of partnerships with industry leaders. Collaborations with Microsoft, NVIDIA, Wageningen University, and Bayer Crop Sciences ensure that Fermata remains at the forefront of agricultural innovation.

Microsoft and NVIDIA: Provide cloud computing and AI hardware infrastructure for scaling Fermata’s technology.

Wageningen University: Develops phenotyping technologies to detect pests like whiteflies and improve crop resistance.

Bayer Crop Sciences: Uses Fermata’s cameras to enhance seed production for crops like carrots and onions, addressing challenges like pollination and seed-transmitted diseases.

Fermata’s partnerships extend to autonomous robotics companies like AgRE.tech and agronomic platforms like yieldsApp. These collaborations enable Fermata to integrate satellite imagery, local weather data, and crop models into its analytics, providing growers with a comprehensive toolkit for managing their fields.

Revolutionizing Agriculture Through Sustainability

Fermata’s technology not only improves efficiency but also promotes sustainable farming practices. By automating pest and disease detection, Croptimus™ reduces the need for chemical interventions, saving growers resources while minimizing environmental impact.

“Fermata’s approach exemplifies how technology can solve some of the world’s most pressing agricultural challenges,” says Victoria Palatnik, managing partner at Raw Ventures. “Their commitment to sustainability and innovation aligns perfectly with our investment philosophy.”

Real-World Impact

The benefits of Fermata’s solutions are already being realized:

Improved Yield and Reduced Losses: Early detection of threats helps growers save crops that might otherwise have been lost.

Resource Efficiency: Fermata’s technology ensures optimal use of fertilizers, pesticides, and labor, reducing operational costs.

Data-Driven Decisions: From pest management to yield prediction, Fermata equips farmers with actionable insights to improve outcomes.

A Vision for the Future

Since its founding in 2020, Fermata has remained focused on harnessing computer vision and AI to address agriculture’s toughest challenges. The Croptimus™ platform exemplifies this commitment, offering growers an intuitive yet powerful tool to monitor and manage their crops effectively.

Fermata’s roadmap includes further enhancements to Croptimus™, including advanced yield prediction algorithms, climate adaptation features, and new integrations with third-party agricultural tools. As urbanization and climate change reshape the agricultural landscape, Fermata is poised to lead the charge toward smarter, more sustainable farming.

Fermata’s Mission: Empowering Growers with Intelligence

Fermata envisions a future where every farmer, whether small-scale or industrial, can harness the power of AI to make smarter choices, reduce waste, and maximize yield. By turning raw data into actionable intelligence, Fermata is not just solving today’s problems but shaping the future of agriculture for generations to come.

[centrally-unplanned]

Listening to the Joe Rogan/Elon Musk podcast for the data gathering purposes, and you do have to hand it to Musk that this is him in his element, and you can see the weakness of politicians like Harris (or Trump) in comparison. The entire first 10 minutes is about video games, talking about (somewhat dubious but not awful) studies about how they boost surgeon's capabilities, how they compare to golf, and so on, with no stress that this is "filler", of a need to Get To The Pitch. He adds on, goes on his own tangents but they are always "idea tangents" Rogan can bounce off of. Rogan will jump in on how creatine helps people deal with sleep dep Because Studies and he yes-and's the fuck out of him asking questions and talking about his breakfast habits. The "I could have a beer with him" crowd is real, they actually value it, and tbh modern Dems struggle with it due to the PR Filter. And Trump is a deranged lunatic, little hard for him to pull it off these days. But Musk has it and you can see his value for a niche as a campaign surrogate.

Anyway on the creatine topic at one point when explaining "why They don't know this" Musk blames opposition to meat consumption, and tangents a little to let everyone know that meat consumption has absolutely zero contribution to global warming, noting "how would you even measure that? You can't". Amusing given all the decades of measurements of the emissions of the agricultural sector:

And input/production analysis of per-good emission rates:

Like obviously you get varying estimates but this isn't mysterious, carbon emissions are well understood and not typically difficult to calculate.

And I just, idk, I think it's amusing, watching someone pivot from casual conversation that is perfectly humanizing to transparent lies that he either did know better about but forgot due to Culture War Brain or, more likely imo currently does know are bullshit but doesn't care. I expect these things in a stump speech; it is off-putting in a hangout sesh.

[rjzimmerman]

Here's the link to the report from the Union of Concerned Scientists described in this story from EcoWatch:

A new report from the Union of Concerned Scientists (UCS) has found that Tyson Foods dumped hundreds of millions of pounds of pollutants into U.S. waterways from 2018 to 2022. The pollutants came from company facilities including slaughterhouses and processing plants.

UCS analyzed publicly available data from the U.S. Environmental Protection Agency (EPA) and found that Tyson Foods processing plants released 371.72 million pounds of pollutants into waterways from 2018 to 2022. Half of the pollutants were dumped in waterways of Nebraska, Illinois and Missouri. The group published the findings in a report titled Waste Deep: How Tyson Foods Pollutes US Waterways and Which States Bear the Brunt.

“As the nation’s largest meat and poultry producer, Tyson Foods plays a huge role in our food and agriculture system and has for decades exploited policies that allow big agribusiness corporations to pollute with impunity,” Omanjana Goswami, co-author of the report and an interdisciplinary scientist with the Food and Environment Program at UCS, said in a press release. “In 2022, the latest year for which we have data, Tyson plants processed millions of cattle and pigs and billions of chickens, and discharged over 18.5 billion gallons of wastewater, enough to fill more than 37,000 Olympic swimming pools.”

Waterways in Nebraska had the most wastewater pollutants dumped by Tyson Foods plants, about 30% of the total or 111 million pounds, UCS reported. The pollutants dumped in Nebraska included 4.06 million pounds of nitrate, which a 2021 study linked to increased risks of central nervous system cancers in children.

According to the National Provisioner, Tyson Foods is one of the top meat and poultry processing companies in the U.S. From 2018 to 2022, it generated 87 billion gallons of wastewater, based on EPA data. This wastewater can include pathogens and microorganisms (such as E. coli) and slaughterhouse byproducts, such as body parts of animals, feces and blood.

As noted in the report, the dumped pollutants contained high amounts of nitrogen (34.25 million pounds) and phosphorus (5.06 million pounds), which can contribute to algal blooms in waterways. As UCS pointed out in its analysis, many Tyson Foods facilities are located near waterways that are home to threatened and endangered species. 

The facilities are also positioned near historically underserved communities, leading to additional pollution near and burden on vulnerable populations.

“Pollution from these plants also raises environmental justice concerns,” Stacy Woods, co-author of the report and research director for the Food and Environment Program at UCS, said in a press release. “We know from previous research that almost 75% of water-polluting meat and poultry processing facilities are located within one mile of communities that already shoulder heavy economic, health or environmental burdens. In mapping these plants, we found Tyson largely fit that pattern, with many plants located near communities where people live with more pollution, less socioeconomic and political power, and worse health compared to other areas of the United States.”

The report provides insight into a larger problem. As The Guardian reported, meat processing pollution in the U.S. is much higher and goes beyond Tyson Foods.

“There are over 5,000 meat and poultry processing plants in the United States, but only a fraction are required to report pollution and abide by limits,” Goswami told The Guardian. “As one of the largest processors in the game, with a near-monopoly in some states, Tyson is in a unique position to treat even hefty fines and penalties for polluting as simply the cost of doing business. This has to change.”

[she-is-ovarit]

Women and girls are oppressed on the axis of sex:

Economic

 Around 2.4 billion women of working age are not afforded equal economic opportunity and 178 countries maintain legal barriers that prevent their full economic participation, according to the World Bank’s Women, Business and the Law 2022 report. In 86 countries, women face some form of job restriction and 95 countries do not guarantee equal pay for equal work.

Globally, women still have only three quarters of the legal rights afforded to men -- an aggregate score of 76.5 out of a possible 100, which denotes complete legal parity.

Gender inequality is a major cause and effect of hunger and poverty: it is estimated that 60 percent of chronically hungry people are women and girls. (Source: WFP Gender Policy and Strategy.)

Less than 20 percent of the world's landholders are women. Women represent fewer than 5 percent of all agricultural landholders in North Africa and West Asia, while in sub-Saharan Africa they make up an average of 15 percent.

In the United States, the labor force participation rate among females is 56.5% and among males is 67.5% for 2022

Vulnerable employment among women [in the US] has remained nearly the same since 1991. Workers in vulnerable employment are the least likely to have formal work arrangements, social protection, and safety nets to guard against economic shocks; thus they are more likely to fall into poverty. Vulnerable employment among women is 3.9% and among men is 4.6% in the United States for 2021.

In the United States, women spend 1.6 times as much time on unpaid domestic and care work than men. In 2019, women in the United States spent 15.3% of their day and men spent 9.7% of their day on unpaid work. 

A 2013 study revealed that 7.6% of lesbian couples in the United States live in poverty compared to 5.7% of married different-sex couples. Similarly, one-third of lesbian couples without a high school diploma were in poverty compared to 18.8% of different-sex couples.

Study: Stereotypes of middle-aged women as less ‘nice’ can hold them back at work.

Women hold 66% of all student loan debt. 41% of women undergraduates take out student loans, compared to 35% of male undergraduates. Women take an additional two years on average to pay off student loans.

Education

Women make up more than two-thirds of the world's 796 million illiterate people.

While progress has been made in reducing the gender gap in urban primary school enrollment, data from 42 countries shows that rural girls are twice as likely as urban girls to be out of school.

Male violence against women

In the United States, the share of women who have experienced intimate partner violence is nearly the same as the world average, 27%. Intimate partner violence is by far the most prevalent form of violence against women globally and is defined as the percentage of ever-married women (ages 15-49) who have ever experienced physical or sexual violence committed by their husband or partner.

35% of women worldwide have experienced either physical and/or sexual intimate partner violence or non-partner sexual violence.

1 in 3 women, around 736 million, are subjected to physical or sexual violence by an intimate partner or sexual violence from a non-partner – a number that has remained largely unchanged over the past decade.

Globally, 7% of women have been sexually assaulted by someone other than a partner.

Globally, as many as 38% of murders of women are committed by an intimate partner.

200 million women have experienced female genital mutilation/cutting.

Violence against women in Mexico rises to over 70%, study finds

7 in 10 human trafficking victims are women and girls.

Women and girls represent 65 per cent of all trafficking victims globally. More than 90 per cent of detected female victims are trafficked for the purpose of sexual exploitation.

Politics, power, and Influence

28.7% of seats in national parliament were held by women in 2022 in the United States

Metadata analysis shows biographies of women on Wikipedia are deleted and marked non-notable at a significantly higher rate than those of men.

Women continue to be underrepresented in the fields of science, technology, engineering and mathematics, representing only slightly more than 35% of the world’s STEM graduates. Women are also a minority in scientific research and development, making up less than a third of the world’s researchers.

Medical discrimination, medical violence, and female healthcare

 Women 32% more likely to die after operation by male surgeon

Women are over-medicated because drug dosage trials are done on men.

Women are sometimes forcibly sterilized, without consent, across the globe.

Mental Health

A 2016 study investigating physical and mental health, and experiences of violence among male and female trafficking survivors in England found 78% of women and 40% of men reported high levels of depression, anxiety, or PTSD symptoms.

Female people in the US attempt suicide more frequently than men.

Adult women have higher rates of mental illness than adult men

Discrimination, bias, and sex-based stereotypes

 UN report finds 90% of men and women hold some sort of bias against females.

Men were 93 percent more likely to have their loans discharged when disclosing a medical condition, as compared to women who disclosed medical conditions.

We historically are not included in research, and when we are, are grouped in with men which is unhelpful (bonus question: What does this mean, then, if male people who "identify-as-women" are grouped in with women and not considered a separate category?)

The Madonna-Whore Dichotomy (MWD) denotes polarized perceptions of women in general as either “good,” chaste, and pure Madonnas or as “bad,” promiscuous, and seductive whores. Men who reported higher endorsement of the Madonna-whore-dichotomy rated their partner as less entitled to sexual pleasure. Women who reported higher endorsement of the Madonna-whore dichotomy devalued their own pleasure by rating their partner as more entitled to sexual pleasure than themselves.

“Their Great Shame is Poverty”: Women Portrayed as Among the “Undeserving Poor” are Seen as Deserving Sexual Assault

The Impact of Media Use on Girls' Beliefs About Gender Roles, Their Bodies, and Sexual Relationships: A Research Synthesis.

Mothers in China for decades pressured their daughters to bind their feet - often destroying the function and formation of their feet - in order to please and service men.

My one disclaimer to this post is that there is a tremendous amount of information left out of this post. This is because it is impossible to capture the vast amount of research and details within studies illuminating the sex-based oppression of women and girls. I have not gone into depth on the impact of media on teenage girls' body image, the role of trauma in girls influencing them to hate their bodies, FGM, the Iranian protests, etc. I hope others reblog and add more information.

[probablyasocialecologist]

The full extent of the damage in Gaza has not yet been documented, but analysis of satellite imagery provided to the Guardian shows the destruction of about 38-48% of tree cover and farmland. Olive groves and farms have been reduced to packed earth; soil and groundwater have been contaminated by munitions and toxins; the sea is choked with sewage and waste; the air polluted by smoke and particulate matter. Researchers and environmental organisations say the destruction will have enormous effects on Gaza’s ecosystems and biodiversity. The scale and potential long-term impact of the damage have led to calls for it to be regarded as “ecocide” and investigated as a possible war crime.

[...]

He Yin, an assistant professor of geography at Kent State University in the US, who studied the damage to agricultural land in Syria during the 2011 civil war, analysed satellite imagery showing that up to 48% of Gaza’s tree cover had been lost or damaged between 7 October and 21 March. As well as direct destruction from the military onslaught, the lack of fuel has led to people in Gaza having to cut down trees wherever they can find them to burn for cooking or heating. “It’s whole orchards gone, only soil left; you don’t see a single thing,” Yin says. Independent satellite analysis by Forensic Architecture (FA), a London-based research group that investigates state violence, found similar results. Before 7 October, farms and orchards covered about 170 sq km (65 sq miles), or 47% of Gaza’s total land area. By the end of February, FA estimates from satellite data that Israeli military activity had destroyed more than 65 sq km, or 38% of that land. As well as cultivated land, more than 7,500 greenhouses formed a vital part of the territory’s agricultural infrastructure. Almost a third have been destroyed entirely, according to FA’s analysis, ranging from up to 90% in the north of Gaza to about 40% around Khan Younis.