| Deep AgriTech Projects | ||||||||
|---|---|---|---|---|---|---|---|---|
| # | Title of Project | Phase | ||||||
| 1 | Deep Learning based Image Plant Phenotyping for Agricultural Crops | Phase 1 | ||||||
| 2 | Genomic Visualization and Assembly Tool for soybean and other oil seed crops | Phase 1 | ||||||
| 3 | AI-Driven IoT and Drone Technology based Integrated Decision Support System for Precision Soybean Farming | Phase 1 | ||||||
| 4 | Al-ML Techniques for Groundwater Management and Data Analysis | Phase 1 | ||||||
| 5 | Development of a Soil Microbial Diversity Detector Kit and Commercial Production of Multi-Trait Plant Probiotic Microbial Consortium | Phase 1 | ||||||
| 6 | Fruit level precision spraying system for orchard using deep learning and synthetic dataset | Phase 1 | ||||||
| 7 | Development of Portable Kit -An Alternative to Traditional Post Harvest Management Employing Photodynamic Inactivation | Phase 1 | ||||||
| 8 | Development of a multi-task model-based application for identification and severity assessment of dry root rot disease in chickpea and soybean | Phase 1 | ||||||
| 9 | Agri-Specific Sensors enabled Remote Analytics for Health and Yieds of Soybean | Phase 1 | ||||||
| 10 | A Novel Nozzle System for Biopesticide Spraying using ground based and Arial Drone Applications for Sustainable Agriculture | Phase 1 | ||||||
| 11 | Autonomous Precision Agriculture: Data-Driven Pest Detection, Disease Prediction, and Growth Analysis Using Computer Vision and Deep Learning | Phase 1 | ||||||
| 12 | Design and Development of an Advanced AI Tool for Crop (Soyabean, Chickpeas , Wheat) Monitoring, Yield Prediction, and Disease Detection Based on Genomic and Phenomics Datasets | Phase 2 | ||||||
| 13 | An AI-based (AI) framework for quality indexing (QI) of rice using pre and post (PP) cooking traits: AI-QIPP | Phase 2 | ||||||
| 14 | GeneMap: A Comparative Genomics Framework for Discovery of Trait-Linked Genes in Soybean and other crops | Phase 2 | ||||||
| 15 | WheatPathoGenome: A Pangenomic Database of Major Wheat Fungal Pathogens to Uncover Their Infection Strategies | Phase 2 | ||||||
| 16 | AI-Powered Potato Pest and Disease Detection & Management System | Phase 2 | ||||||
| 17 | Rapid Detection of Cry Genes in Bt Cotton Using Dip-Based PCR and AI-Assisted Spectral Analysis | Phase 2 | ||||||
| 18 | Autonomous UAV based Smart Field Inspection and Image Analytics System for Precision Agriculture | Phase 2 | ||||||
| 19 | Development of a Multi-Functional Agri-Bot for Precision Harvesting and Soil Diagnostics | Phase 2 | ||||||
| 20 | Machine Learning Driven Genome Wide Association Studies for Improvement of Crops | Phase 2 | ||||||
| 21 | Agentic Foundation-Model Platform for Precision Soil–Crop Intelligence and Farmer-Facing GenAI Advisories | Phase 2 | ||||||
| 22 | Genome-Wide Comparative Analysis for Identification of Trait-Associated Genes and Molecular Markers in Soybean and Other Crops ( Startup - incubated in ACE Foundation, IIT Indore) | Phase 2 | ||||||
| 23 | AgriDrone-Phenotype: A UAV-Based Imaging and Deep-Learning Framework for Growth Rate Estimation and Plant Counting in Field Phenotyping | Phase 3 | ||||||
| 24 | Development of a Physics-Informed Machine Learning Model for Biogas Yield Prediction with Experimental Validation and Life Cycle Assessment. | Phase 3 | ||||||
| 25 | AgriBot-Pheno: Autonomous In-Field Robotic Platform for High-Throughput Plant Phenotyping and Cloud-Integrated Crop Improvement Analytics. | Phase 3 | ||||||
| 26 | LoRaWAN – Enabled AI Optimization of Agriculture Supply Chains for Sustainable Supply-Demand Forecasting. | Phase 3 | ||||||
| 27 | SAIDRA-Agri: Secure AI-Driven Data Repository and Analytics Platform for Agriculture. | Phase 3 | ||||||
| 28 | AgriCide: An AI-Guided Autonomous Robot for Targeted Micro-Dose Herbicide Weed Control. | Phase 3 | ||||||
| 29 | AgriTwin-Loop: Confidence-Aware Multi-Source Assimilation for a 5G/MEC-Enabled Agricultural Digital Twin. | Phase 3 | ||||||
| 30 | An Integrated Sensor-Based Data Logger for Microclimate Monitoring and Predictive Quality Modeling in Post-Harvest Storage | Phase 3 | ||||||
