Section: Engineering Sciences (Research Project)
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Design and
Design and development of lightweight, cost-effective and energy-aware Fog-based crop yield recommendation, disease diagnosis and management system using Artificial Intelligence techniques for rural India
Research Project › Life Sciences & Biotechnology
Deciphering the
Deciphering the marker-trait associations for grain yield and blast disease resistance traits in finger millet through genome-wide association analysis
Research Project › Agricultural Sciences
Development of
Development of a Vision-Language Model for in situ Plant Health Diagnosis Using Visual and Soil Information
Research Project › Engineering Sciences
CSIR Mission
CSIR Mission project on "Region Specific Smart Agro-technologies for enhancing soil and plant health"
Technologies › Agricultural Technology
Deciphering combined
Deciphering combined drought and dry root rot tolerance mechanisms in chickpea using Multi-Omics and Integrative analysis.
Research Project › Life Sciences & Biotechnology
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