Themes & Sub Themes
1. Artificial Intelligence for Precision Agriculture
Sub themes:
a. Al in Soil Health and Nutrient Management
b. Optimization of Sensor based Monitoring and Decision Support
c. Al/ML for Water use Optimization-Smart Irrigation Systems
d. Computer Vision for Weed/Disease/Pest Detection
e. Yield Prediction and Crop Modeling
2. Climate Modeling and Resource Management
Sub themes:
a. Al based Weather Predictions
b. Climate Risk Forecasting
c. Predictive Analytics for Crop Planning and Commodity Price Forecasting
3. Al driven Genomic selection and Predictive breeding
Sub themes:
a. Al in High-Throughput phenotyping
b. Al applications in gene editing and functional genomics
c. Computer vision for plant trait analysis
4. Automation and Robotics in Agriculture
Sub themes:
a. Autonomous Tractors, Drones and Field Robots
b. Edge Al for Real Time Field Operations
c. Swarm Robotics in Farm Management
5. Data Analytics, IoT and Digital Agricultural Platforms
Sub themes:
a. IoT Enabled Smart Farms
b. Digital Twins for Farming Systems
c. Cloud/Edge Computing in Agriculture
d. Inter-operability and Data Standards
6. Al for Supply Chain, Post Harvest and Agri-business
Sub themes:
a. Demand Forecasting and Value Chain Optimization
b. Quality Grading Using Machine Fission
c. Post Harvest Loss Prediction
d. Al Enabled Logistics and Cloud Chain Automation
7. Al in Livestock, Dairy and Fisheries
Sub themes:
a. Precision Feeding and Monitoring
b. Disease Prediction in Livestock
c. Smart Aquaculture Systems
d. Behavioral Analytics
8. Policy, Ethics and Socio-economic Impacts
Sub themes:
a. Responsible and Explainable Al in Agriculture
b. Data Privacy for Farmers
c. Adoption Challenges in Rural Areas
d. Al for Small Holder Empowerment
9. Al/Robotic/Digital based Agri-Tech Startups
Sub themes:
a. Solutions for Nutrient delivery/management
b. Solutions for Smart irrigations systems
c. Solutions for Precision pesticides application
d. Al powered agri-biotech startups
10. Emerging Technologies
Sub themes:
a. Al in Course Curriculum – Agricultural Education
b. GenAl, Agentic Al for Extension Advisories
c. AR/VR for Agricultural Training
d. Metaverse for Collaborative Agri-learning