#artificial intelligence in agriculture

[agreads]

ARIA announces £143m in R&D funding to enhance global climate resilience

The Advanced Research + Invention Agency (ARIA) recently announced the launch of two new programmes: Forecasting Tipping Points, led by Programme Directors Gemma Bale and Sarah Bohndiek, and Synthetic Plants, led by Programme Director Angie Burnett. As with all ARIA programmes, Programme Directors have worked with the R&D community to identify areas which are under-explored, under-funded and hold…

[entrepreneurbar]

A profound transformation is silently unfolding within the expansive realm of agricultural practice, where terrestrial and celestial realms converge to orchestrate life cycles. This metamorphosis is propelled by the convergence of technological advancements and traditional methodologies, with the Internet of Things (IoT) emerging as a potent catalyst reshaping longstanding agricultural paradigms. This paper elucidates the burgeoning landscape of IoT integration within agriculture, delineating its multifaceted implications for enhancing operational efficiency, ecological sustainability, and productivity within this critical sector.

Discover the expertise of CA Mukesh Shukla, the best business coach in India, dedicated to empowering entrepreneurs and fostering self-reliance among the youth. With a passion for developing entrepreneurship skills and contributing to the Atma Nirbhar Bharat Abhiyan, CA Mukesh Shukla offers unparalleled guidance and support for business growth. Learn more about his journey and transformative impact on the Indian economy at CA Mukesh Shukla's official website

[sblai]

AI & PLM in Agriculture: Intelligent Duo for Yields & Sustainability

PLMs (Predictive Language Models) in agriculture harness AI to analyze satellite imagery, sensor data, weather reports, soil metrics, and historical yields, offering valuable insights for optimized farming decisions, enhanced crop yields, and risk mitigation. Read more at https://www.sblcorp.ai/ai-plm-in-agriculture-intelligent-duo-for-yields-sustainability/

[techsoulculture]

Artificial Intelligence in Agriculture: Global Modernization

Artificial Intelligence AI is one of the most promising technologies in the global agriculture industry, which is through a transformative

[livemintvideos]

Finance Minister Nirmala Sitharama in the Union Budget 2023 made some major announcements during her one-hour speech. One such announcement was the decision to set up 100 labs to develop applications using 5G services.

[scipunk]

Detroit Become Human (2018)

[mindblowingscience]

Water scarcity and the high cost of energy represent the main problems for irrigation communities, which manage water for this end, making it available to agriculture. In a context of drought, with a deregulated and changing electricity market, knowing when and how much water crops are going to be irrigated with would allow those who manage them to overcome uncertainty when making decisions and, therefore, guide them towards objectives like economic savings, environmental sustainability, and efficiency. For this, data science and Artificial Intelligence are important resources.

Continue Reading.

[teachanarchy]

Why Tech Billionaires Are Snatching Farmers' Land in Rural California

[ashimbisresearch]

The Global Artificial Intelligence in Agriculture Market is expected to reach $12,478.6 million by 2034

According to BIS Research, the Artificial Intelligence in Agriculture market, valued at $1,820.2 million in 2023, is projected to grow significantly, reaching an estimated $12,478.6 million by 2034, with the forecast period extending from 2024 to 2034.

[ivie-online]

technologists who lack radical/revolutionary politics argue that new tech will lead to social change, ignoring the fact that we are (and have been) perfectly equipped to address many of societys ills. our states are perfectly aware of our nutritional needs, and our collective agricultural output is astronomical. the computers we already have are more than enough to handle the incredibly complex logistics of getting things where they’re needed, without hyper ‘intelligent’ super computers. it’s not a lack of fancy new tools keeping us from progress, it’s a lack of social and political will.

[agreads]

Launching RegenIQ: A Scalable, Data-Driven Framework Driving the Adoption of Regenerative Agriculture

Agmatix, a leading agricultural data and AI-powered technology company, announces the launch of RegenIQ at the Regenerative Agriculture Summit in Europe. RegenIQ is designed to drive the adoption of regenerative agriculture by offering a structured approach to assessing the impact of field-level efforts, supporting both environmental health and productivity. Aligned with regenerative…

[jcmarchi]

Open-Source Platform Cuts Costs for Running AI - Technology Org

New Post has been published on https://thedigitalinsider.com/open-source-platform-cuts-costs-for-running-ai-technology-org/

Open-Source Platform Cuts Costs for Running AI - Technology Org

Cornell researchers have released a new, open-source platform called Cascade that can run artificial intelligence (AI) models in a way that slashes expenses and energy costs while dramatically improving performance.

Artificial intelligence hardware – artistic interpretation. Image credit: Alius Noreika, created with AI Image Creator

Cascade is designed for settings like smart traffic intersections, medical diagnostics, equipment servicing using augmented reality, digital agriculture, smart power grids and automatic product inspection during manufacturing – situations where AI models must react within a fraction of a second. It is already in use by College of Veterinary Medicine researchers monitoring cows for risk of mastitis.

With the rise of AI, many companies are eager to leverage new capabilities but worried about the associated computing costs and the risks of sharing private data with AI companies or sending sensitive information into the cloud – far-off servers accessed through the internet.

Also, today’s AI models are slow, limiting their use in settings where data must be transferred back and forth or the model is controlling an automated system. 

A team led by Ken Birman, professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science, combined several innovations to address these concerns.

Birman partnered with Weijia Song, a senior research associate, to develop an edge computing system they named Cascade. Edge computing is an approach that places the computation and data storage closer to the sources of data, protecting sensitive information. Song’s “zero copy” edge computing design minimizes data movement.

The AI models don’t have to wait to fetch data when reacting to an event, which enables faster responses, the researchers said.

“Cascade enables users to put machine learning and data fusion really close to the edge of the internet, so artificially intelligent actions can occur instantly,” Birman said. “This contrasts with standard cloud computing approaches, where the frequent movement of data from machine to machine forces those same AIs to wait, resulting in long delays perceptible to the user.” 

Cascade is giving impressive results, with most programs running two to 10 times faster than cloud-based applications, and some computer vision tasks speeding up by factors of 20 or more. Larger AI models see the most benefit.

Moreover, the approach is easy to use: “Cascade often requires no changes at all to the AI software,” Birman said.

Alicia Yang, a doctoral student in the field of computer science, was one of several student researchers in the effort. She developed Navigator, a memory manager and task scheduler for AI workflows that further boosts performance.

“Navigator really pays off when a number of applications need to share expensive hardware,” Yang said. “Compared to cloud-based approaches, Navigator accomplishes the same work in less time and uses the hardware far more efficiently.”

In CVM, Parminder Basran, associate research professor of medical oncology in the Department of Clinical Sciences, and Matthias Wieland, Ph.D. ’21, assistant professor in the Department of Population Medicine and Diagnostic Sciences, are using Cascade to monitor dairy cows for signs of increased mastitis – a common infection in the mammary gland that reduces milk production.

By imaging the udders of thousands of cows during each milking session and comparing the new photos to those from past milkings, an AI model running on Cascade identifies dry skin, open lesions, rough teat ends and other changes that may signal disease. If early symptoms are detected, cows could be subjected to a medicinal rinse at the milking station to potentially head off a full-blown infection.

Thiago Garrett, a visiting researcher from the University of Oslo, used Cascade to build a prototype “smart traffic intersection.”

His solution tracks crowded settings packed with people, cars, bicycles and other objects, anticipates possible collisions and warns of risks – within milliseconds after images are captured. When he ran the same AI model on a cloud computing infrastructure, it took seconds to sense possible accidents, far too late to sound a warning.

With the new open-source release, Birman’s group hopes other researchers will explore possible uses for Cascade, making AI applications more widely accessible.

“Our goal is to see it used,” Birman said. “Our Cornell effort is supported by the government and many companies. This open-source release will allow the public to benefit from what we created.”

Source: Cornell University

You can offer your link to a page which is relevant to the topic of this post.

[0firstlast1]

AI, ML, ...

The periodicity that I publish my short audiovisuals in podcast format is weekly.

As I became 'immersed' in Artificial Intelligence, Machine Learning, chatbot, OpenAI, ChatGPT, DALL-E, ... I temporarily changed the periodicity to biweekly.

Maybe I'll extend the periodicity for monthly until I conclude my personal opinion about the curious subjects: What are they and what can they be useful for my use?

At the top of this publication I placed some images generated by Artificial Intelligence from commands.

In the first image the Artificial Intelligence forgot to put engines on the plane, so even if the plane is piloted by a famous Hollywood actor the plane will not be able to fly to capture Putin, good for him.

In the second image, taking advantage of the fact that judaism is in fashion on TV, I remembered one of the famous ones from among them and asked the Artificial Intelligence for an image about the subject, more than one was generated, I chose two that represent very well what I think about nazism, judaism, and psychology, all side by side.

In the fourth image an image about one of the symbols of capitalism, banks, more specifically about the new technologies that dismissed multitudes of workplaces, including banks.

I really didn't feel threatened by the result of the generated images, if I wanted I would finish arts with much more quality, but as a sketch the Artificial Intelligence took less than a minute.

[morganablenewsmedia]

The Need for Nigeria to Embrace Artificial Intelligence Culture

The need for Nigeria to embrace the artificial intelligence culture cannot be overstated, as it holds the key to unlocking economic growth. In today’s digital age, technology is constantly evolving and artificial intelligence is at the forefront of this transformation. AI has become a game-changer in various industries, from healthcare and finance to education and transportation. Yet despite its…

[techdriveplay]

What Is the Future of Robotics in Everyday Life?

As technology continues to evolve at a rapid pace, many are asking, what is the future of robotics in everyday life? From automated vacuum cleaners to advanced AI assistants, robotics is steadily becoming an integral part of our daily routines. The blending of artificial intelligence with mechanical engineering is opening doors to possibilities that seemed like science fiction just a decade…