Agriculture 4.0 (eBook, PDF)

Smart Farming with IoT and Artificial Intelligence
Redaktion: Gupta, Sheetanshu; Nisar, Shabistana; Ansari, Mohammad Javed; Kumar, Dhirendra; Singh, Shivom; Hasan, Wajid

• Format: PDF

Produktbeschreibung

This book serves as a guide to the integration of IoT and AI in agriculture and discusses the methodologies, applications, and challenges in this field. It details various aspects of smart farming and provides insight into the potential of IoT and AI to revolutionize agricultural practices.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 415
• Erscheinungstermin: 6. Dezember 2024
• Englisch
• ISBN-13: 9781040269442
• Artikelnr.: 72285387

Autorenporträt

Sheetanshu Gupta is alumnus of G.B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India and works in the field of Biochemistry, Molecular Biology, and Biotechnology. He specializes in environmental problems, aeroponics and hydroponics, and protein biochemistry. He is also involved in innovating farming techniques and exploring novel approaches to plant protection. Wajid Hasan is Subject Matter Specialist in Entomology at KVK Jehanabad, Bihar Agricultural University in Bihar, India. He holds a doctorate in Agricultural Entomology from GB Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, India and is devoted to researcher and extension activities in the field. Shivom Singh is Associate Professor at ITM University Gwalior, Madhya Pradesh, India. He specializes in Environmental Science and has also completed a research project funded by MPCST, Bhopal, Government of India. Dhirendra Kumar is Assistant Professor in the Department of Botany and Assistant Nodal Officer IPR Cell at Chaudhary Bansi Lal University, Haryana, India. His areas of interest are Plant Biology, Biotechnology, Bioprocess Development, Termite Biology, and Waste Management and he is currently working on green synthesis plants and metal-based nanomaterials. Mohammad Javed Ansari is Assistant Professor in the Department of Botany at Hindu College, Moradabad, Uttar Pradesh, India. He holds a Ph.D. in Biotechnology from IIT Roorkee, India and has served as Assistant Professor at King Saud University, Riyadh, Saudi Arabia. Shabistana Nisar works as Assistant Professor (Agricultural Entomology) at Mohammad Ali Jauhar University, Rampur, Uttar Pradesh, India. She holds a Ph.D in Agricultural Entomology from Aligarh Muslim University, Aligarh, India. She specializes in the impact of impact of climate change on insect pest and diseases associated with various economically important crops. During her research, she worked on ICAR funded project "National Innovations in Climate Resilient Agriculture".

Inhaltsangabe

Preface
About the Editors
1. Revolutionizing Agriculture with IoT and Artificial Intelligence
2. Digital Agriculture: Integrating IoT and AI for Sustainable Food
Production
3. IoT Sensors and Networks for Crop Monitoring and Management
4. Smart Irrigation and Water Management through IoT Technologies
5. AI-Powered Predictive Analytics for Crop Yield Optimization
6. Machine Learning for Pest and Disease Detection in Crops
7. Precision Agriculture: Merging IoT and AI for Site-Specific Management
8. IoT-enabled Variable Rate Technologies for Optimal Resource Use
9. Data Fusion and Integration Platforms for Smart Farming
10. Big Data Analytics in Agriculture: Harnessing IoT-generated Insights
11. Smart Livestock Farming: Monitoring and Health Management through IoT
12. AI Applications in Animal Behavior Analysis and Welfare
13. Blockchain and IoT for Food Supply Chain Transparency
14. AI-Enabled Food Quality and Safety Assurance
15. Data Security and Privacy in IoT-Enabled Agriculture
16. Ethical Considerations of AI and IoT in Farming
17. Government Initiatives and Policies for Smart Agriculture
18. Adoption Challenges and Incentives for IoT and AI in Agriculture
19. Emerging Trends in IoT, AI, and Agricultural Science
20. Smart Farming Beyond Boundaries: Global Collaboration and Innovation