#GreenhouseFarming

[technophili]

The 12 Most Mind-Blowing Ways AI Is Innovating In Farming

The agricultural sector is developing thanks to artificial intelligence (AI), which is transforming our farming practices, from sowing to harvesting. As we can see today, the world's growing population is only getting stronger, and climate change is bringing new challenges that we need to address, which is why we need artificial intelligence not just in finance or machine learning, but also in agriculture, because we need it to increase crop yields, to conserve resources and also to create food systems that will be more sustainable. This article explores the current state and future potential of AI in agriculture, drawing on expert opinion and real-life examples.

Why innovation is needed in agriculture ?

According to the Food and Agriculture Organization of the United Nations (FAO), quoted by Forbes, the world is going to have to produce 60% more food than we have by 2050 in order to feed a projected population of 9.3 billion. But right now, there are a number of major challenges in the agricultural sector that may mean that this goal will (perhaps) never be reached. At least for the time being.Rajesh Singh, professor at Lovely Professional University and co-author of "Artificial Intelligence in Agriculture", underlines just how urgent this situation is: "The agricultural industry is at a critical juncture. Traditional farming methods are struggling to keep pace with growing demand and environmental pressures. AI offers a promising path forward, but its implementation must be thoughtful and inclusive."The current challenges facing agriculture are as follows:1. Pest damage: According to Forbes, pests destroy around 40% of everything produced in agriculture every year, causing losses of at least $70 billion. Their impact is widespread, with locusts in Africa and fruit flies damaging orchards all over the world, so it's damage that also affects the economy.2. Soil degradation: According to Forbes, nearly 33% of the world's soils are degraded, reducing their capacity to support crop growth. This results in an estimated loss of around $400 billion a year.3. Water scarcity: Again according to Forbes, agriculture uses 70% of the world's fresh water, but 60% of this is wasted through leaky irrigation systems and inefficient farming practices.4. Weed proliferation: According to Forbes, some 1,800 weed species reduce crop production by around 31.5%, resulting in economic losses of around $32 billion a year.5. Post-harvest losses: The World Economic Forum notes that in countries like India, 40% of produce is lost in the supply chain due to inadequate storage, transport and market access. These problems are particularly acute for small-scale farmers. Anita Gehlot, co-author of "Artificial Intelligence in Agriculture", explains "Smallholder farmers, who produce a significant portion of the world's food, often lack access to advanced technologies and face disproportionate risks from climate change and market fluctuations. AI solutions must be designed with their needs in mind." The World Economic Forum gives us a sad example of the challenges with the story of Krishna, a small farmer from Telangana, India. He actually cultivates an acre of land, but Krishna earns just $120 a month - not even enough to give his family what they fundamentally need. For Krishna and millions of others like him, farming is a gamble that involves enormous risks, and it doesn't pay very well. That's why we're all asking the same question 

How is AI revolutionizing agriculture? 

Thanks to artificial intelligence and other AI-dependent technologies such as machine learning, computer vision and the Internet of Things (IoT), we have other ways of making these long-standing agricultural challenges a distant memory. As Mahesh Kumar Prajapat, also co-author of "Artificial Intelligence in Agriculture", notes: "AI's ability to process vast amounts of data, recognize patterns, and make predictive analyses is being applied across the entire agricultural value chain, from soil preparation to post-harvest logistics."Let's see how AI is transforming different aspects of agriculture: 1. Crop and soil management: Thanks to AI, the way farmers monitor and manage their crops and soils is going to change completely. -Crop yield prediction through AI:in effect, this means that learning algorithms have the ability to analyze historical data, weather patterns, soil conditions and satellite imagery to predict crop yields with an accuracy that will only increase.This gives farmers greater clarity when it comes to planting, and can even extend to resource allocation and harvest scheduling. There's also- Machine learning for pest and disease detection: Image-recognition systems powered by artificial intelligence can detect any signs of pest or disease infestation in crops, and that's before humans can notice anything. I'd also like to mention Automated irrigation systems:If AI starts analyzing soil humor levels, weather forecasts and crop water requirements, it could perhaps make irrigation better. According to forbes,CropX, a company specializing in precision agriculture, reports that thanks to their AI solutions, they have been able to reduce water use by 57%, while at the same time increasing yields by up to 70%.Crop monitoring by drone: which can rapidly survey large areas and provide information on crop health, growth patterns and problems that can appear in great detail. AI-assisted soil health analysis:here, if machine learning models happen to analyze soil samples and sensor data, they will potentially be able to give information on soil composition, nutrient levels and overall health at depth.2. Livestock managementBhupendra Singh, also co-author of "Artificial Intelligence in Agriculture", talked about how AI could impact livestock farming."AI is transforming livestock management through advanced monitoring and predictive analytics, leading to improved animal welfare and productivity."Among the main applications we have, for example, the: AI-assisted animal health monitoring:here we may be talking about how wearable captures and AI algorithms can monitor vital signs, movements and the way animals behave in relation to their feed in order to detect early signs of disease, there are also:Automated feeding systems:where AI can choose the best feeding times and portions according to each animal's needs, improving nutrition and at the same time reducing waste. And let's not forget Behavioral analysis: in this case, it analyzes the way animals behave in order to predict certain events in advance, such as   estrus in dairy cows, enabling us to set up more effective breeding programs.3. Farming The AI organizes the overall management and operations of the farm:Resource optimization: this involves enabling algorithms to analyze different data streams, so that they can optimize the way in which resources such as water, fertilizers and labor are used throughout the farm. Weather forecasting: that's nothing new! I think many of you already know that AI is capable of giving us weather forecasts in every locality, and this could help farmers to make important decisions about planting, for example: when to plant? When not to? How to do it? When to do it? There will also be important decisions to make when harvest time comes, and other decisions too about how to protect crops. That's why there's Agricultural data analysis: made possible by AI-powered dashboards. And what's important to know here is that since they are in a position to integrate data that comes from different sources (sensors, machines, market prices), they will be able to provide farmers with information that they can use and thus make the way they make decisions much better.4. Supply chain managementAI improves efficiency and transparency throughout the agricultural supply chain:Blockchain for traceability:blockchain solutions can track agricultural products from farm to fork, thereby enhancing food safety and enabling consumers to check where their food comes from and where it has been before it reaches their plates.AI-enabled inventory management: we could optimize stock levels with artificial intelligence, thereby reducing waste and ensuring that agricultural products are delivered as quickly as possible..Demand forecasting:we'll be able to analyze market trends, the way consumers behave and other external factors to know in advance which agricultural products will be in greatest demand, so farmers and distributors can plan better.

In fact, AI in agriculture is also having a certain impact in the real world, as it..

  ...is already being felt worldwide. Here are a few compelling examples:1. Precision weeding: according to Forbes, the LaserWeeder, an AI-powered weeding system, claims to eliminate up to 5,000 weeds per minute with 99% accuracy. Farmers using this technology say they have been able to cut their weeding costs by up to 80%, and they have a return on investment that can be made in as little as one to three years!2. Empowering small-scale farmers:The World Economic Forum had mentioned in their article an 18-month pilot program that was done in India to test digital advisory services that used artificial intelligence and was aimed at small-scale farmers, and the results they got were insane.-     Net income doubled to $800 per acre in a single crop cycle (6 months). -    Chili production increased by 21% per acre. -     Pesticide use decreased by 9%. -     Fertilizer use decreased by 5%. -    Crop price increased by 8% because of improved quality. -  Crop yields increased by 23%. - Water use was reduced by 30%. - Fertilizer and pesticide use were reduced by 20% and 50% respectively. - Overall profitability improved by 35%. - The farm's carbon footprint has been reduced by around 25%.Rajesh Singh comments on this case study: "This example illustrates the holistic impact AI can have on farm operations. It's not just about individual technologies, but how they work together to create a more efficient, productive, and sustainable farming system.”

Conclusion: The changing face of agriculture

In the future, it's clear that AI will play an increasingly central role in agriculture. From small farms in India to large industrial farms in the USA, AI technologies are helping farmers to produce more food with fewer resources, while reducing their impact on the environment.Anita Gehlot concludes: The integration of AI in agriculture represents a paradigm shift in how we approach food production. However, as we embrace these technologies, we must ensure that their benefits are widely shared and that we don't lose sight of the fundamental connection between humans and the land."As we move into this new era of algorithmic agriculture, we must strive to ensure that the benefits of these technologies are widely shared, that their implementation is environmentally sustainable, and that they serve to enhance rather than replace the rich tradition of human agricultural knowledge. In so doing, we will be able to write a new chapter in the age-old history of human agriculture, one in which silicon and soil work together to feed the world.The authors of "Artificial Intelligence in Agriculture" remind us that, while artificial intelligence offers powerful tools for tackling the challenges facing agriculture, it is not a panacea. Its successful implementation will require ongoing research, thoughtful policymaking and a commitment to inclusive development that benefits farmers at every scale and in every region.At the intersection of traditional farming wisdom and cutting-edge technologies, the future of agriculture promises to be both exciting and complex. By harnessing the power of AI responsibly and equitably, we have the opportunity to create a more resilient, sustainable and productive global food system for generations to come.  Read the full article

[vatshalgreen]

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[heerglobalcollaborations]

Protected Farming Solutions

Protected cultivation, an advanced farming technique, employs controlled structures tailored to local climate conditions. Ideal for vegetables and flowers, it shields crops from weather variations, offering precise management of temperature, humidity, light, and irrigation. This method optimizes crop health, boosts yields, and supports consistent production throughout the year.

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[shastramnursery]

Tunnel Net House

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[egyxn-03]

Green Pulse AI Application

Hey everyone! I'm back again as the Chief Technology Officer at Green Pulse AI Firms in Ghana, and I’m thrilled to share our vision for how AI can revolutionize greenhouse farming in Ghana. Our aim is to tackle the unique challenges of greenhouse farming by making it more efficient, sustainable, and productive. Here’s our approach.

Big Data and AI for Smarter Greenhouses

Firstly, let’s talk about Big Data and AI. Greenhouses collect a lot of data from sensors that monitor things like the temperature, humidity, soil moisture, and light. At GreenPulse AI, we use AI to process all this data quickly (Velocity) and in large amounts (Volume). This gives farmers real-time insights to help them optimize their greenhouse conditions. Now, can you imagine just getting instant updates that help you make smarter decisions faster!

Precision Farming with Predictive Analytics

Next is predictive analytics. Our AI analyzes different types of data (Variety) such as sensor readings, weather forecasts, and past crop yields to predict future trends. This helps farmers plan their planting schedules, irrigation, and climate control better. For example, our AI can tell when crops will need more water or temperature adjustments. This precise resource management aims to boost yields and conserve resources, making farming more sustainable.

Disease Detection

Machine learning is another key part of our AI tools. Our AI systems analyze images from greenhouse cameras to pinpoint early signs of crop diseases or pests. We train our AI with several labelled images (supervised learning) to spot issues that might be missed by the human eye. Early detection means farmers can act quickly to save their crops and reduce the need for more use of chemicals.

Automating Greenhouse Management

Lastly, we also use AI to streamline our greenhouse operations. Automated irrigation systems adjust water levels based on real-time data, and chatbots also help farmers with quick questions, reducing manual work. Our natural language processing (NLP) algorithms make it easy for farmers to interact with our systems, ensuring the technology is user-friendly.

To conclude, at GreenPulse AI, we’re committed to making greenhouse farming in Ghana smarter and more sustainable. By combining Big Data, predictive analytics, machine learning, and AI-driven automation, we help farmers do more with less. Our vision is to create AI-powered greenhouses that produce healthier crops, conserve resources, and support the local economy.

Thanks for reading, and stay tuned for more updates on our journey to transform greenhouse farming in Ghana!

[captobiotech]

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What is the growth of greenhouse farms for sale in chennai?

The growth of greenhouse farms for sale in Chennai has been noteworthy in recent years, reflecting an increasing interest in sustainable and controlled-environment agriculture. Among the notable players in this domain, Getfarms stands out as a pioneer in facilitating the sale of greenhouse farms in Chennai. With a proven track record, Getfarms has become a trusted partner for individuals and businesses looking to invest in or sell greenhouse farms in the region. The company's commitment to promoting modern agricultural practices and providing comprehensive solutions has contributed significantly to the growth and success of the greenhouse farming sector in Chennai. As the demand for controlled-environment agriculture continues to rise, Getfarms remains at the forefront, offering valuable expertise and a diverse portfolio of greenhouse farms for sale to meet the evolving needs of the agricultural community in Chennai.

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Dome Shade Net House

We specialize in dome shade net houses ideal for cultivating flowers, vegetables, and fruits. Our agriculture consultancy excels in setting up protected farming structures. As a leading farm management provider in India, we offer comprehensive solutions from crop planting to sales, along with expert agronomy services.

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[heerglobalcollaborations]

Revolutionizing Agriculture: The Future of Farming with Protected Cultivation

Explore the transformative impact of protected cultivation on agriculture, ensuring year-round production and climate resilience. Discover more at Heerglobal Agritech Collaborations.

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[shastramnursery]

Protected Farming Solutions

Protected farming involves growing crops in controlled environments such as greenhouses and polytunnels. It enhances growth, protects from pests and weather, and uses methods like hydroponics. Benefits include higher yields and efficient resource use, though it requires significant investment and expertise.

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[captobiotech]

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आधुनिक शेतीमुळे अनेक शेतकऱ्यांना कृषी उत्पादनाची गुणवत्ता आणि उत्पादन वाढवण्यास मदत झाली आहे. आमचे आणखी एक प्रयोगशील शेतकरी, श्री गणेश जाधव यांचेही असेच आहे, ज्यांनी पॉली हाऊस शेती सुरू केली जी त्यांच्या अंजीर लागवडीसाठी ग्रीनहाऊस फार्मिंग म्हणून ओळखली जाते. शेतातील उत्पादनाचा दर्जा सुधारण्याची त्यांची आकांक्षा होती आणि त्यांना पॉलीहाऊस शेती करण्याचा प्रयत्न करण्याची कल्पना सुचली जी यशस्वी ठरली. त्यांनी ह्या कल्पनेला कसे रुजवले आणि प्रयत्नात आणले, कोणती मदत घेतली, हरितगृह शेतीमुळे त्यांच्या अंजीर लागवडीचा दर्जा कसा सुधारला, पॉलीहाऊस शेतीमुळे फायदेशीर ठरणारे घटक कोणते आहेत, रोगांचा प्रसार रोखण्यासाठी आणि त्याच्या लागवडीसाठी खत देण्यासाठी त्यांनी कोणत्या पद्धती वापरल्या, हे जाणून घेण्यासाठी हा व्हिडिओ पहा. आणि दर्जेदार उत्पादन मिळविण्यासाठी हरितगृह शेतीने कसे यशस्वी परिणाम दिले जाणून घ्या. Modern agriculture has helped a lot of farmers to grow the quality and quantity of agricultural products. The same goes for another one of our experimental farmers, Mr. Ganesh Jadhav who started poly house farming which is generally known as Greenhouse Farming for his Fig plantation. He aspired to improve the quality of his farms and products and came across the idea of trying poly house farming which turned out to be a success. Watch this video to know, how he learned and inculcated the idea, what assistance he acquired, how #greenhousefarming improved the quality of his fig plantation, what factors are profitable due to poly house farming, what methods he uses to prevent infestation and provide fertilizers for his plantation. And how Greenhouse Farming gave a successful outcome to obtain quality yield. https://www.youtube.com/watch?v=G8ZS-MJPJs8

[adomasmiklys26]

Is greenhouse farming profitable in India?

Greenhouse farming has proven to be a potentially profitable venture in India, offering numerous advantages that contribute to enhanced agricultural productivity. The controlled environment provided by greenhouses allows farmers to mitigate the impact of unpredictable weather conditions, ensuring a consistent and reliable crop yield throughout the year. This reliability, coupled with the ability to cultivate high-value crops, contributes significantly to the economic viability of greenhouse farming. Additionally, the efficient use of resources, such as water and fertilizers, reduces input costs, making it a financially attractive option for farmers. The increasing demand for fresh produce, coupled with the potential for organic cultivation within greenhouses, further adds to the market appeal. However, like any agricultural endeavor, success depends on factors such as proper planning, crop selection, and effective management of the greenhouse environment. Overall, with the right approach, greenhouse farming holds substantial promise for profitability in the Indian agricultural landscape.