http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Optimizing smart and sustainable agriculture for sustainability
"This reference text addresses the importance of smart crop management for increasing yield and presents a framework for smart monitoring and regulation of crop observation. It further comprehensively covers important topics such as spatial decision support systems for precision farming, swarm intelligence in the optimal management of aquaculture farms, and intelligent harvesting algorithms for improving productivity. This book: Presents metaheuristic algorithms for optimization, economic crop planning, and use of effective water resource management. Discusses spatial decision support systems for crop productivity management, watershed management, and precision farming. Illustrates swarm intelligence-based optimization techniques, data mining, and machine learning methods for aquaculture operations. Highlights artificial intelligence and machine learning-based harvesting algorithms for improving productivity. Explains the use of green Internet of Things security solutions for agriculture, plant condition management, and greenhouse simulation. It is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, agricultural science, and information technology"-- Provided by publisher.
Chapter 1. Economic efficiency through livestock production monitoring and prediction in smart agriculture -- Chapter 2. Smart crop management for increased yield -- Chapter 3. Smart solutions and sustainability for agriculture using deep learning -- Chapter 4. Bi-LSTM based deep learning model for crop yield prediction -- Chapter 5. Food image recognition and calorie estimation -- Chapter 6. Precision agriculture: navigating environmental sustainability -- Chapter 7. Moving towards sustainable and smart agriculture -- Chapter 8. Green IOT for smart agricultural monitoring -- Chapter 9. Agricapital, a three-way agro-market aggregation using Cluster CRUD operations and role of ML in agriculture Chapter 10. Optimizing smart and sustainable agriculture for sustainability -- Chapter 11. Green IoT for smart agricultural monitoring -- Chapter 12. Agricultural farming decision support system using artificial intelligence: a comparative analysis -- Chapter 13. Drones- the unmanned aerial vehicles for precision management of pests and diseases of crops.
edited by Biswaranjan Acharya, Ankita Bansal, Abha Jain, Rachna Jain, and Joel J. P. C. Rodrigues.
Includes bibliographical references and index.