This book explains the best practices and their respective outcomes in artificial intelligence (AI) to meet sustainable development goals and demands. It examines the practices, technologies, and innovations at the core of various research issues to meet the sustainable development demands in agriculture to balance social, economic, and environmental sustainability with AI.

AI in Agriculture for Sustainable and Economic Management discusses AI-driven nanotechnology approaches for precision agriculture and solutions for the optimization of farming resources and their management. The authors examine the impact of AI in agriculture and how technology-driven sustainable farming with smart waste-water treatment for zero waste for the circular economy can extend crop shelf-life. It discusses how AI expertise can be advantageous to envisage and evaluate the increasing demands of productivity, and to help to maintain ecosystems and strengthen the capacity for crop adaptation in response to drastic changes in climate and weather, natural disasters, and other significant factors. These findings and practices are also useful to emphasize how an agricultural ecosystem can be advanced and industrialized so that it can aid not only large commercial farms but also smaller farmlands. Finally, it also discusses how AI practices will help to find a balance between the volume of food manufactured and the proper maintenance of the ecosystem.

This book is intended for researchers and upper graduate students interested in artificial intelligence in agricultural engineering, AI advances in crop science and technology for sustainable development.

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Yes, you can access AI in Agriculture for Sustainable and Economic Management by Sirisha Potluri, Suneeta Satpathy, Santi Swarup Basa, Antonio Zuorro, Sirisha Potluri,Suneeta Satpathy,Santi Swarup Basa,Antonio Zuorro in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

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Year

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eBook ISBN

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Topic

Computer Science

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Computer Engineering

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Computer Science

Cover
Half-Title
Series
Title
Copyright
Contents
Preface
About the Editors
Contributors
Chapter 1 Artificial Intelligence: Towards Sustainable, Smart, and Green Agriculture
Chapter 2 Artificial Intelligence in Achieving Sustainable Development Goals: Models and Approaches
Chapter 3 Smart Solutions for a Sustainable Future: Unlocking the Potential of AI for a Sustainable Future in Architecture, Energy, and Agriculture
Chapter 4 AI for Optimization of Farming Resources and their Management
Chapter 5 Democratising Intelligent Farming Solutions to Develop Sustainable Agricultural Practices
Chapter 6 AI-Driven Approach to Precision Agriculture
Chapter 7 Precision Agriculture and AI: Nurturing Sustainable Food Ecosystems
Chapter 8 Agriculture and AI: A Subtle Conjunction of Predictive Analysis and Voice Assistance in the World of Agriculture
Chapter 9 Machine Learning and IoT in Smart Agriculture
Chapter 10 Empowering Agriculture: IoT for Sustainable Farming Practices
Chapter 11 An Analysis-Efficient Cloud-Based Scheduling Infrastructure: Driving the Shift to Artificial Intelligence in Farming
Chapter 12 Animal Intrusion Detection System using Semantic Segmentation and YOLO V4 Object Detector
Chapter 13 Smart Farming for Sustainable Development – A Study at Sonepur District of Odisha
Chapter 14 Analytical Approaches to Sustainable Farming Systems
Chapter 15 Are Ethiopian Coffee Farmers Proficient to Predict Capital Structure with Mediation of AI Based Knowledge Systems and Asset Liquidity?
Chapter 16 Is Marketing Intermediaries’ Mediation Required for Livestock and Products Marketing to Improve the Economic Status of Pastoralist Communities in Ethiopia?
Index

About this book

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Table of contents