Future Farming: Advancing Agriculture with Artificial Intelligence | Shukla, Praveen Kumar;Bera, Tushar Kanti; | 2023 | Bentham Science Publishers | 9789815124736
Artificial Intelligence is vital to the evolution of agriculture into a smart industry. The objective of this book is to inform readers about how artificial intelligence is improving agriculture by exploring its applications. The book addresses several aspects of artificial intelligence applications in smart agriculture including, pest control, disease identification, weed detection, and security. Chapters are contributed by experts in agriculture, computer science and biotechnology.
Key Themes:
Advanced machine learning techniques for pest control and disease identification
Automated recognition and classification of plant diseases, focusing on tomatoes and pearl millet
Integration of artificial intelligence for solar-powered robots to identify weeds and damages in vegetables
Development of field prevention systems to deter wild animals in farming areas
Utilization of machine learning for weather forecasting to facilitate smart agriculture practices
Intelligent crop planning and precision farming through AI applications
Integration of artificial intelligence and drones to enhance efficiency and effectiveness in smart farming operations
Other features of the book include a list of references and simple summaries in each chapter to distil the information for readers. The book is a primary reference material for courses on automation in agriculture. It can also serve as a handbook for anyone interested in advances in farming.
Artificial Intelligence is vital to the evolution of agriculture into a smart industry. The objective of this book is to inform readers about how artificial intelligence is improving agriculture by exploring its applications. The book addresses several aspects of artificial intelligence applications in smart agriculture including, pest control, disease identification, weed detection, and security. Chapters are contributed by experts in agriculture, computer science and biotechnology.
Key Themes
Advanced machine learning techniques for pest control and disease identification
Automated recognition and classification of plant diseases, focusing on tomatoes and pearl millet
Integration of artificial intelligence for solar-powered robots to identify weeds and damages in vegetables
Development of field prevention systems to deter wild animals in farming areas
Utilization of machine learning for weather forecasting to facilitate smart agriculture practices
Intelligent crop planning and precision farming through AI applications
Integration of artificial intelligence and drones to enhance efficiency and effectiveness in smart farming operations
Other features of the book include a list of references and simple summaries in each chapter to distil the information for readers. The book is a primary reference material for courses on automation in agriculture. It can also serve as a handbook for anyone interested in advances in farming.
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