Computational Techniques in Precision Agriculture
Redigert av Bhoomika Batra, Vinod Kumar Shukla, Vaibhav Bhatnagar, 2026.Del av serien Computational and Intelligent Systems.
Advances and Applications
This book discusses the components and foundations of precision agriculture, followed by smart farming practices, sustainable development in precision agriculture, and use of artificial intelligence techniques in the field of agriculture. Features:Discusses remote sensing techniques, global positioning system, robotics, and unmanned aerial vehicles in precision agriculture. Covers sustainable development in precision agriculture, data management and analytics, and variable rate technology. Highlights the implementation of artificial intelligence techniques, and use of prediction algorithms in improving crop efficiency. Presents machine learning, deep learning, and computer vision applications in precision agriculture. Showcases case studies on cotton crops, tea pests, and crop recommendations. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, smart grids, environmental engineering, agricultural engineering, computer science and engineering.
Språk: Engelsk
Oppdag mer
Computational Techniques in Precision Agriculture
Redigert av Bhoomika Batra, Vinod Kumar Shukla, Vaibhav Bhatnagar, 2026.Del av serien Computational and Intelligent Systems.
Advances and Applications
This book discusses the components and foundations of precision agriculture, followed by smart farming practices, sustainable development in precision agriculture, and use of artificial intelligence techniques in the field of agriculture. Features:Discusses remote sensing techniques, global positioning system, robotics, and unmanned aerial vehicles in precision agriculture. Covers sustainable development in precision agriculture, data management and analytics, and variable rate technology. Highlights the implementation of artificial intelligence techniques, and use of prediction algorithms in improving crop efficiency. Presents machine learning, deep learning, and computer vision applications in precision agriculture. Showcases case studies on cotton crops, tea pests, and crop recommendations. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, smart grids, environmental engineering, agricultural engineering, computer science and engineering.
Oppdag mer
Språk: Engelsk
Ved å fullføre kjøpet aksepterer du kjøpsvilkårene.
