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Transforming agriculture through art...

Lal, Priyanka.

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Transforming agriculture through artificial intelligence for sustainable food systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Transforming agriculture through artificial intelligence for sustainable food systems/ edited by Priyanka Lal, Pradeep Mishra.
其他作者:	Lal, Priyanka.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xviii, 212 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction to AI in Agriculture -- Precision Farming- The Future of Sustainable Agriculture -- AI-Driven Crop Monitoring and Management for Sustainable Agriculture -- Data-Driven Farming: Harnessing Big Data for Agriculture -- Smart Irrigation Systems: Optimizing Water Use with AI -- Climate-Resilient Agriculture through Artificial Intelligence -- Supply Chain Optimization: AI in Agriculture Distribution -- Artificial Intelligence in livestock farming: Sustainable Animal Husbandry -- Farm Robotics and Autonomous Systems from Farm to Fork -- Strategy for Artificial Intelligence -- Artificial Intelligence in Agriculture: Case Studies and Success Stories -- Challenges, Opportunities, and the Future of Agricultural Innovations through AI.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Agricultural applications. -
電子資源:	https://doi.org/10.1007/978-981-96-4795-8
ISBN:	9789819647958

Transforming agriculture through artificial intelligence for sustainable food systems
Transforming agriculture through artificial intelligence for sustainable food systems[electronic resource] /edited by Priyanka Lal, Pradeep Mishra. - Singapore :Springer Nature Singapore :2025. - xviii, 212 p. :ill. (some col.), digital ;24 cm.

Introduction to AI in Agriculture -- Precision Farming- The Future of Sustainable Agriculture -- AI-Driven Crop Monitoring and Management for Sustainable Agriculture -- Data-Driven Farming: Harnessing Big Data for Agriculture -- Smart Irrigation Systems: Optimizing Water Use with AI -- Climate-Resilient Agriculture through Artificial Intelligence -- Supply Chain Optimization: AI in Agriculture Distribution -- Artificial Intelligence in livestock farming: Sustainable Animal Husbandry -- Farm Robotics and Autonomous Systems from Farm to Fork -- Strategy for Artificial Intelligence -- Artificial Intelligence in Agriculture: Case Studies and Success Stories -- Challenges, Opportunities, and the Future of Agricultural Innovations through AI.

This book aims to explore the groundbreaking intersection of artificial intelligence (AI) and agriculture, focusing on how innovative technologies can be harnessed to create sustainable and resilient food systems. As global challenges such as climate change, population growth, and resource scarcity intensify, this book seeks to provide a comprehensive guide to leveraging AI for optimizing agricultural practices, enhancing productivity, and promoting environmental stewardship. The final chapter summarizes key findings, highlighting the overarching themes, and providing insights into the future of AI in agriculture. Emphasis is placed on the importance of collaboration, ethical considerations, and responsible deployment of AI technologies to ensure a sustainable and equitable food future. This book is intended for a diverse audience, including researchers, academics, policymakers, agri-tech professionals, farmers, and students interested in the future of agriculture, sustainability, and emerging technologies.

ISBN: 9789819647958

Standard No.: 10.1007/978-981-96-4795-8doiSubjects--Topical Terms:

3299845
Artificial intelligence
--Agricultural applications.

LC Class. No.: S494.5.D3

Dewey Class. No.: 630.208563

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520 $a This book aims to explore the groundbreaking intersection of artificial intelligence (AI) and agriculture, focusing on how innovative technologies can be harnessed to create sustainable and resilient food systems. As global challenges such as climate change, population growth, and resource scarcity intensify, this book seeks to provide a comprehensive guide to leveraging AI for optimizing agricultural practices, enhancing productivity, and promoting environmental stewardship. The final chapter summarizes key findings, highlighting the overarching themes, and providing insights into the future of AI in agriculture. Emphasis is placed on the importance of collaboration, ethical considerations, and responsible deployment of AI technologies to ensure a sustainable and equitable food future. This book is intended for a diverse audience, including researchers, academics, policymakers, agri-tech professionals, farmers, and students interested in the future of agriculture, sustainability, and emerging technologies.
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