Dr. Sartajvir Singh is an accomplished academician at Chandigarh University, specializing in Electronics and Communication Engineering. He is practicing as Registered Patent Agent (IN/PA 5806) Registered Trade Mark Agent (TMA 2646). So far, he has filed 75 innovations/patents at the Indian Patent Office (IPO) with 35 Granted/Awarded. With expertise in the filed of Remote Sensing, Computing Algorithms, and Electronics, he has published 81 in SCI/Scopus Index Journals. An active IEEE member, he engages with IEEE Young Professionals, IEEE GRSS, IEEE Sensors Council, and ISPRS. His research focuses on Remote Sensing, Machine Learning, Deep Learning, and Computer Vision. He has served as a keynote speaker and resource person for numerous workshops and webinars. He also edited 2 conference proceedings, 10 books and Special Issues with publishers like Wiley, Nature, De Gruyter, Bentham Science, Springer, Elsevier, CRC, and Apple Academic Press.
Artificial Intelligence for Sustainable Agricultural Practices and Innovations: Case Studies and Emerging Trends
Publisher: CRC Press
Editors: Sartajvir Singh, Dorin Gupta, Vishal Dutt, Vishakha Sood
This book brings together state-of-the-art AI technology applications in Precision agriculture. By delving deeply into the complementary nature of artificial intelligence and its applications, this exhaustive book offers fresh perspectives on long-standing problems in sustainable agriculture and ecological preservation, as well as actionable advice for resolving them.The chapters of the book are given a specific dedicated focus on each of the following applications of AI in agriculture: Crop management, pest management, supply chain optimizations, Agroecology, and Soil Analysis.
| Important Dates | |
|---|---|
| Abstract Submission Deadline | 10 July 2025 |
| Abstract Acceptance Notification | 15 July 2025 |
| Full Chapter Submission Deadline | 15 August 2025 |
| Chapter Acceptance Notification | 30 August 2025 |
| Projected Book Release Date | March 2026 |
| Important Guidelines | |
|---|---|
| Citation Style | IEEE (Mendley) |
| Originality | Plagiarism Under 10%, 0% AI Generated Content |
| Text Style | 11 pt Times New Roman, 1.5 line spacing |
| Headings | 3 numbered headings (e.g. 1, 1.1, 1.1.1), one unnumbered heading |
| Figures | High-quality, original figures, 300 dpi |
Chapter 1: Introduction of AI in Precision Agriculture
Chapter 2: AI-Driven Soil Analysis Using Digital Image Processing
Chapter 3: Estimation of the Seasonal Agricultural Changes Using Satellite Imagery
Chapter 4: Crop Yield Prediction Using AI-based Algorithm
Chapter 5: Deep Learning-based Crop Disease Detection
Chapter 6: Role of AI in Irrigation Management
Chapter 7: AI-Driven Pest Identification and Management
Chapter 8: AI-Driven Agriculture Supply Chain Optimizations
Chapter 9: AI-based Automated Risk Mitigation System
Chapter 10: AI-Driven Decision Support System in Agroecology
Chapter 11: AI Tools for Sustainable Crop Rotations
Chapter 12: AI-based Data Fusion Methods for Enhanced Estimation of Soil Moisture
Chapter 13: AI-Driven Decision Support System for Logistics and Transportation Planning
Chapter 14: Challenges and Limitations in AI Technologies for Agriculture
Chapter 15: Future Perspectives of AI’s Role in Advancing Agriculture
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