AI for Smart Agrivoltaic Systems
Optimizing crop yield, water usage, and energy production.
Skills you will gain:
About Program:
This 3-day hands-on program introduces AI applications in agrivoltaics—integrating crop production with solar energy. Participants will learn how AI optimizes land use, crop yield, irrigation, and energy generation through digital twins, predictive analytics, and decision-support tools. Workshop bridges agriculture, renewable energy, and smart technologies to design sustainable food–energy–water systems.
Aim: The workshop aims to provide participants with practical skills in applying Artificial Intelligence to agrivoltaic systems, enabling optimization of crop yield, water efficiency, and solar energy generation. Through hands-on modeling, digital twins, and decision-support tools, participants will learn how to design and manage smart food–energy–water systems for sustainable agriculture and renewable energy integration.
Program Objectives:
What you will learn?
📅 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
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
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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.
Career Supporting Skills
Program 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.