Artificial Intelligence on the Farms
Editat de C Kishor Kumar Reddy, Fatima Zahra Ouariach, Haifa Nakouri, Jothi Paranthaman, Meetu Malhotra, T Monika Singhen Limba Engleză Hardback – 30 dec 2026
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Specificații
ISBN-13: 9789372199536
ISBN-10: 9372199532
Pagini: 320
Dimensiuni: 152 x 229 mm
Greutate: 0.85 kg
Editura: New India Publishing Agency
ISBN-10: 9372199532
Pagini: 320
Dimensiuni: 152 x 229 mm
Greutate: 0.85 kg
Editura: New India Publishing Agency
Cuprins
- Chapter 1. Federated Learning in Agriculture for the Next Generation of Data-Driven and Autonomous Farming - Monalisha Pattnaik, Umrah Naushad, Sudev Kumar Padhi and Guddi Mohanty
- Chapter 2. Integrating IoT, Edge Computing, and Federated Learning for Scalable Agricultural Intelligence - S. Anand and Wan Mazlina Wan Mohamed
- Chapter 3. Federated Learning Architectures for Climate-Resilient and Sustainable Agricultural Practices - Desham Archana, B. Rama Sree, Bhoomeshwar Bala Raja Shekar Kadurka and Sabih Ahmad
- Chapter 4. Advancing Early Crop Disease Detection Using Federated Deep Learning and Remote Sensing - Ushaa Eswaran, Vishal Eswaran, Vivek Eswaran and Keerthna Murali
- Chapter 5. Livestock Health Monitoring Using Federated Learning and Wearable IoT Sensors - Dr. V. Umadevi
- Chapter 6. Federated Learning for Climate Resilience: Overcoming Data Silos and Enhancing Agricultural Sustainability - Md. Shoeab Akhter, Sakibul Islam Ratul, Fahmida Tasnim and Prof. Dr. Mohammed Ataur Rahman
- Chapter 7. Blockchain-Enabled Federated Learning for Secure and Transparent AgriTech Data Sharing - Mohammed Abdul Bari, Md Fasihuddin, Dr. Mohd Ashraf, Dr. Shahanawaj Ahamad and Dr. Akhil Khare
- Chapter 8. Federated Learning Case Studies for Plant Disease Forecasting Across Diverse Agro-Ecosystems - Singamaneni Krishnapriya, Dr. Amaravarapu Pramodkumar and Rasmitha Kumari Mohanty
- Chapter 9. The Future of Autonomous Farming through Intelligent and Distributed Federated AI Systems - Lingala Thirupathi, Ananya Seeta, Kashif Mohammed and Ramya G
- Chapter 10. Tools, Frameworks, and Real-World Deployment Strategies for Federated Learning in Agriculture - Shaheda Begum, Patchipulusu Sneha, Monika Singh T and Dr. S Md Shakir Ali
- Chapter 11. Federated Artificial Intelligence for Climate-Resilient Agricultural Marketing Systems Check - Mohammed Abdul Bari, Dr. Md Zair Hussain, Dr. G F Ali Ahammed and Dr. Shahanawaj Ahamad
- Chapter 12. Proactive Pest and Disease Management: AI-Powered Early Detection, Prediction, and Prevention Systems - Satvika Pullisani, Nishitha Pujala and Harish Kannan
- Chapter 13. Ethical, Legal, and Societal Challenges in Deploying Federated AI in Agricultural Domains - Nishitha Pujala, Satvika Pullisani, Harish Kannan and Samanvitha Karri