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). So far, he has filed 58 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 72 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, 7 books with publishers like Wiley, De Gruyter, Bentham, Elsevier, CRC, and Apple Academic Press.
Hyperspectral Remote Sensing for Sustainable Agriculture
Publisher: Bentham Science
Editors: Sartajvir Singh, Neelam Dahiya, Maged Mohammed, Abdullah Alzharihi, Vishal Dutt
This book explores the on the use of advanced tools and technologies such as Artificial Intelligence (AI) in sustainable agriculture using hyperspectral imaging. Hyperspectral remote sensing (HRS) has turned up as a game-changing tool in sustainable agriculture, providing unprecedented insights into crop health, soil quality, and overall agricultural output.
| Important Dates | |
|---|---|
| Abstract Submission Deadline | 15 September 2024 |
| Abstract Acceptance Notification | 15 October 2024 |
| Full Chapter Submission Deadline | 30 November 2024 |
| Chapter Acceptance Notification | 30 December 2024 |
| Projected Book Release Date | June 2025 |
| Important Guidelines | |
|---|---|
| Citation Style | IEEE |
| 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: Overview of Hyperspectral Remote Sensing for Agriculture
Chapter 2: Applications and Challenges of Hyperspectral Remote Sensing for Agriculture
Chapter 3: Identifying the Latest Trends and Challenges in Irrigation of Horticulture Crops Using Remote Sensing
Chapter 4: The Role of Remote Sensing and GIS in Integrated Pest Management
Chapter 5: Identification of Crop Health Using AI-Enabled Remote Sensing
Chapter 6: Precision Agriculture Practices for Crop Yield Management with AI Models
Chapter 7: Estimation of Soil Degradation with Advanced AI Models
Chapter 8: Role of Remote Sensing for Precise Nutrition Management in Agriculture
Chapter 9: Significance of Remote Sensing in Optimizing Fertilizer Use for Nutrient Mapping
Chapter 10: Hyperspectral Remote Sensing for Digital Soil Mapping
Chapter 11: Wildlife Monitoring Using Remote Sensing
Chapter 12: Advancement in Remote Sensing and GIS for Sustainable Groundwater Monitoring
Chapter 13: AI-Driven Real-Time Monitoring of Irrigation Management in Precision Agriculture
Chapter 14: Remote Sensing-Based Deep Learning Models for Soil Quality Prediction
Chapter 15: Advanced Remote Sensing Techniques for Monitoring Agriculture Changes
Showing all Related Products:
Need Help?
Book an Appointment for Expert Consultancy Schedule a session for Patent Filing, Design Registration or Research Guidance tailored to your needs.