Deep AgriTech Projects

The following projects are funded by AgriHub:
Sr. No. Title of Project
1 Deep Learning based Image Plant Phenotyping for Agricultural Crops
2 Genomic Visualization and Assembly Tool for soybean and other oil seed crops
3 AI-Driven IoT and Drone Technology based Integrated Decision Support System for Precision Soybean Farming
4 Al-ML Techniques for Groundwater Management and Data Analysis
5 Development of a Soil Microbial Diversity Detector Kit and Commercial Production of Multi-Trait Plant Probiotic Microbial Consortium
6 Fruit level precision spraying system for orchard using deep learning and synthetic dataset
7 Development of Portable Kit -An Alternative to Traditional Post Harvest Management Employing Photodynamic Inactivation
8 Development of a multi-task model-based application for identification and severity assessment of dry root rot disease in chickpea and soybean
9 Agri-Specific Sensors enabled Remote Analytics for Health and Yields of Soybean
10 A Novel Nozzle System for Biopesticide Spraying using ground based and Aerial Drone Applications for Sustainable Agriculture
11 Autonomous Precision Agriculture: Data-Driven Pest Detection, Disease Prediction, and Growth Analysis Using Computer Vision and Deep Learning