About Workshop
Aim
Structure
📅 Day 1 – Foundations of Agrivoltaics & AI-Driven Precision
- Welcome & Workshop Orientation – Introducing synergy of agriculture & solar energy via AI-enabled design
- Agrivoltaics: Dual Land-Use for Food, Water, Energy – Environmental & socio-economic benefits, microclimate & water management
- Crop Selection & Microclimate Dynamics – Shade-tolerant crops, panel orientation, height & spacing for yield & energy
- Basic AI & Data Wrangling – Data sources (sensors, imagery, yield records) & AI in site assessment and design
📅 Day 2 – AI Modeling & Systems Optimization
- Advanced Agrivoltaic Design & Digital Twin Modeling – AI-enhanced simulation for performance under varying conditions
- AI for Water Optimization & Microclimate Control – Irrigation scheduling, evapotranspiration monitoring, reinforcement learning
- Real-Time Monitoring & Predictive Analytics – Smart sensors, IoT, and ML for yield prediction & system optimization
📅 Day 3 – Integrated Decision Support, Policy & Future Innovations
- Multi-Criteria Decision Support – AI tools for optimizing crop yield, water use, energy, and economics
- Economic & Policy Frameworks – Cost-benefit analysis, financing, regulations, land-use & policy mechanisms
- Case Studies & Global Perspectives – Examples from U.S., India, Japan, Europe & pilot farms
- Looking Ahead: Smart, Adaptive Agrivoltaic Futures – Spectral-selective panels, vertical farming, AI-guided adaptive shading
Important Dates
Registration Ends
Workshop Dates
What You Will Gain
Outcomes
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Understand agrivoltaic principles and the role of AI in optimizing crop–energy–water systems.
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Apply AI models, digital twins, and predictive analytics to enhance yield, irrigation, and energy generation.
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Use smart sensors and IoT tools for real-time monitoring and decision-making.
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Evaluate economic, technical, and policy aspects of agrivoltaic projects.
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Design strategies for sustainable and adaptive food–energy–water integration.
Who Should Attend
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PhD scholars and researchers in agriculture, renewable energy, and AI.
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Academicians and faculty members working on sustainable farming and energy systems.
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Industry professionals in solar energy, precision agriculture, and smart farming technologies.
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Students interested in agrivoltaics, AI applications, and sustainable food–energy–water systems.