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4 books on AI for Agriculture [PDF]
September 08, 2025 | 27 |
Agroicultural complex is considered to be one of the most conservative in terms of innovation. However, machine learning, computer vision and even generative language models are finding increasing practical application in agriculture.
The use of AI technologies in crop production helps assess soil and plant health, control crop cultivation, predict yields and adverse natural hazards, as well as maintain optimal growing conditions. Autopilots for combine harvesters, automating routine fieldwork, are also emerging. Autonomous drones and subsequent processing of their images can provide real-time information on plant health, identify diseases, pests and weeds.
AI technologies in livestock farming make it possible to optimize animal diets, monitor their health, identify activity patterns, analyze movements and postures, proactively respond to health issues, control livestock feeding. AI solutions can also identify dependencies between animal care conditions and their health to prevent diseases. Analytical ML models allow to predict demand and prices for livestock products.
Another important application of AI is quality control of products. Computer vision systems can determine freshness levels and monitor employee compliance with sanitary standards.
Here are some PDF books about AI applications in agriculture:
1. IoT and AI in Agriculture: Self- sufficiency in Food Production to Achieve Society 5.0 and SDG's Globally
2023 by Tofael Ahamed
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2. Innovation in Agriculture with IoT and AI
2022 by Suchismita Satapathy, Debesh Mishra, Arturo Realyvásquez Vargas
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3. The Digital Agricultural Revolution: Innovations and Challenges in Agriculture through Technology Disruptions
2022 by Roheet Bhatnagar, Nitin Kumar Tripathi, Nitu Bhatnagar, Chandan Kumar Panda
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4. Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide
2021 by Chandrasekar Vuppalapati
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How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
The use of AI technologies in crop production helps assess soil and plant health, control crop cultivation, predict yields and adverse natural hazards, as well as maintain optimal growing conditions. Autopilots for combine harvesters, automating routine fieldwork, are also emerging. Autonomous drones and subsequent processing of their images can provide real-time information on plant health, identify diseases, pests and weeds.
AI technologies in livestock farming make it possible to optimize animal diets, monitor their health, identify activity patterns, analyze movements and postures, proactively respond to health issues, control livestock feeding. AI solutions can also identify dependencies between animal care conditions and their health to prevent diseases. Analytical ML models allow to predict demand and prices for livestock products.
Another important application of AI is quality control of products. Computer vision systems can determine freshness levels and monitor employee compliance with sanitary standards.
Here are some PDF books about AI applications in agriculture:
1. IoT and AI in Agriculture: Self- sufficiency in Food Production to Achieve Society 5.0 and SDG's Globally
2023 by Tofael Ahamed
Download PDF
2. Innovation in Agriculture with IoT and AI
2022 by Suchismita Satapathy, Debesh Mishra, Arturo Realyvásquez Vargas
Download PDF
3. The Digital Agricultural Revolution: Innovations and Challenges in Agriculture through Technology Disruptions
2022 by Roheet Bhatnagar, Nitin Kumar Tripathi, Nitu Bhatnagar, Chandan Kumar Panda
Download PDF
4. Machine Learning and Artificial Intelligence for Agricultural Economics: Prognostic Data Analytics to Serve Small Scale Farmers Worldwide
2021 by Chandrasekar Vuppalapati
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
