Collaborator Organization:
ICAR-National Institute of Biotic Stress Management, Chhattisgarh
Title & Summary of Work:
Artificial Intelligence based Strategies for Mitigating Biotic and Abiotic Stresses for Agricultural and Environmental Sustainability.
The project aims to develop AI-driven solutions to address the challenges posed by both biotic (e.g., pests, diseases) and abiotic (e.g., drought, extreme temperatures) stresses on agriculture. By utilizing machine learning models and data analytics, the project seeks to enhance crop resilience, optimize resource utilization, and promote sustainable agricultural practices, ultimately contributing to environmental sustainability and food security.
Some more problems identified for joint work are as follows:
• Deep Learning for Identifying Key Metabolites in Crop Infection and Defence.
• Predictive Modelling of Soil-Rhizosphere Interactions Using Deep Learning for Biotic Stress Management.
• Computer Vision based Real-time Detection, loss assessment and Classification of Crop Diseases in Diverse Agricultural Environments.