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Full Description
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.
Contents
1. Artificial Intelligence: Towards sustainable, smart, and green agriculture. 2. Artificial Intelligence in Achieving Sustainable Development Goals: Models and Approaches. 3. Smart Solutions for a Sustainable Future: Unlocking the Potential of AI for a Sustainable Future in Architecture, Energy, and Agriculture. 4. AI for Optimization of Farming Resources and their Management. 5. Democratising Intelligent Farming Solutions to Develop Sustainable Agricultural Practices. 6. AI- driven approach for Precision Agriculture. 7. Precision Agriculture and AI: Nurturing Sustainable Food Ecosystems. 8. Agriculture and AI: A Subtle Conjunction of Predictive Analysis and Voice Assistant in the World of Agriculture. 9. Machine Learning and IoT in Smart Agriculture. 10. Empowering Agriculture: IoT for Sustainable Farming Practices. 11. An Analysis Efficient Cloud Based Scheduling Infrastructure: Driving the Shift of Artificial Intelligence in Farming. 12. Animal Intrusion Detection System using Semantic Segmentation and YOLO V4 Object Detector. 13. Smart Farming for Sustainable Development -
A Study at Sonepur District of Odisha. 14. Analytical Approaches to Sustainable Farming Systems. 15. Is Ethiopia Coffee Cooperatives Farmers Proficient to Predict Capital Structure with Mediation of AI Based Knowledge Systems and Asset Liquidity?. 16. Is Marketing Intermediaries' Mediation required for Livestock and Products Marketing to uplift the Economic Status of Pastoralist Community in Ethiopia?.
