Sustainable Agriculture: Technologies, Application, and Practices

· Academic Press
Ebook
400
Pages
Eligible

About this ebook

Sustainable Agriculture: Technologies, Application, and Practices provides readers with a foundational understanding of sustainable agriculture principles alongside the cutting-edge capabilities of artificial intelligence. Structured into six well-organized sections, the book begins with foundational concepts of sustainability and the enabling technologies that support them. This includes in-depth discussions on the principles of sustainability, the role of technology in enhancing agricultural practices, and the socioeconomic impacts of sustainable farming. Subsequent chapters look into practical applications, showcasing how smart irrigation, crop monitoring, and supply chain optimization can significantly bolster sustainable operations.Each chapter provides case studies and practical strategies to ensure a thorough understanding of how artificial intelligence can revolutionize sustainable agriculture. This book serves as an essential resource for upper-level undergraduate and graduate students studying sustainable agriculture, agricultural technology, and environmental science. - Examines the evolving landscape of sustainable agriculture, including its ecological, social, and economic dimensions - Introduces the intersection of sustainable agriculture with environmental conservation and community development - Covers the role of technological advancements in promoting sustainable agricultural practices and solving global food security challenges - Explores sustainable agriculture principles and AI advancements for students and professionals in agriculture and technology fields - Includes PowerPoint slides that enhance learning and facilitate classroom instruction, making complex concepts more accessible
Sustainable Agriculture: Technologies, Application, and Practices provides readers with a foundational understanding of sustainable agriculture principles alongside the cutting-edge capabilities of artificial intelligence. Structured into six well-organized sections, the book begins with foundati...

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About the author

Wasswa Shafik is the research lab head of Dig Connectivity Research Laboratory (DCRLab), Kampala, Uganda. He pursued his Ph.D. in Computer Science at the School of Digital Science, Universiti Brunei Darussalam, Brunei Darussalam. Master in information technology engineering –Communication and Computer Networks, Yazd University, Yazd, Islamic Republic of Iran. Bachelor in Information Technology Engineering with a minor in mathematics at Ndejje University, Uganda. Broadly interested in Artificial Intelligence, Machine Learning, and Smart Cities, his research focuses on developing principled computationally and statistically efficient models and algorithms for various machine learning problems in Smart Agriculture, Ecological Informatics, Computer Vision, AI-enabled IoTs/IoMTs, Cybersecurity and Privacy, and Smart Cities.

Wasswa Shafik is the research lab head of Dig Connectivity Research Laboratory (DCRLab), Kampala, Uganda. He pursued his Ph.D. in Computer Science at the School of Digital Science, Universiti Brunei Darussalam, Brunei Darussalam. Master in information technology engineering –Communication and Com...

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