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AI in AgriTech

Leveraging AI Models for Conservation Practices and Food Production in Computer Vision-Based Agriculture Engineering

Language EnglishEnglish
Book Paperback
Book AI in AgriTech Malcolm Adams
Libristo code: 50835917
Publishers Independently published, August 2024
In "AI in AgriTech," Dr. Malcolm Adams delves into the revolutionary role of artificial intelligence... Full description
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In "AI in AgriTech," Dr. Malcolm Adams delves into the revolutionary role of artificial intelligence (AI) and computer vision in transforming modern agriculture. This comprehensive guide explores how cutting-edge technologies are being applied to enhance conservation practices and boost food production. From soil health monitoring and precision irrigation to pest control and automated harvesting, the book provides a detailed look at the innovative AI models and computer vision techniques driving efficiency and sustainability in agricultural engineering.

Ideal for students, researchers, engineers, and professionals in the agricultural sector, "AI in AgriTech" offers practical insights into the implementation of AI and computer vision technologies. Readers will gain a deep understanding of the applications, benefits, and challenges of these technologies, supported by real-world case studies that showcase successful implementations and lessons learned.

Dr. Adams, a renowned expert with over 20 years of experience in agricultural engineering, presents this vital resource to inspire the adoption of advanced technology in agriculture. The book not only highlights the technical aspects but also addresses ethical and regulatory considerations, offering a holistic view of the future of agriculture in the age of AI.

Whether you are looking to innovate your agricultural practices or simply understand the latest advancements in the field, "AI in AgriTech" is an indispensable resource for navigating the evolving landscape of smart farming.

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About the book

Full name AI in AgriTech
Author Malcolm Adams
Language English
Binding Book - Paperback
Date of issue 2024
Number of pages 128
EAN 9798334445505
Libristo code 50835917
Weight 183
Dimensions 152 x 229 x 7
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