AI & ML

Advanced UAV Technology for Sustainable Crop Monitoring

AI and Unmanned Aerial Vehicle (UAV) technology for crop monitoring, LAI estimation, and disease detection.

Leveraging UAV technology and AI for precision agriculture-including leaf area index estimation, disease detection, and crop stress mapping-to enhance crop management and environmental sustainability.

Sub-projects

Leaf Area Index Estimation using Deep Learning and Drone Imagery

Abubakar Siddiq Palli

Deep learning models for estimating leaf area index from drone imagery to support crop monitoring.

Images

Leaf Area Index Estimation using Deep Learning and Drone Imagery 1

Leaf Area Index Estimation using Deep Learning and Drone Imagery 2

Leaf Area Index Estimation using Deep Learning and Drone Imagery 3

Disease Detection Model for Agricultural Cropping Systems

Dhathri Meda

Developing disease detection models for agricultural cropping systems using drone and ground imagery.

Images

Disease Detection Model for Agricultural Cropping Systems 1

Disease Detection Model for Agricultural Cropping Systems 2

Disease Detection Model for Agricultural Cropping Systems 3

Performance Evaluation of Modified CNN for Soybean Disease Detection

Sri Sai Charith Grandhi

Evaluating modified CNN architectures for soybean disease detection in field conditions.

Images

Performance Evaluation of Modified CNN for Soybean Disease Detection 1

Performance Evaluation of Modified CNN for Soybean Disease Detection 2

Performance Evaluation of Modified CNN for Soybean Disease Detection 3

Outcomes

UAV-based workflows for LAI, disease, and stress assessment.
Decision support for precision crop management.