AI for Smart Agrivoltaic Systems
Optimizing crop yield, water usage, and energy production.
About This Course
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.
Workshop 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
Who Should Enrol?
-
PhD scholars and researchers in agriculture, renewable energy, and AI.
-
Academicians and faculty members working on sustainable farming and energy systems.
-
Industry professionals in solar energy, precision agriculture, and smart farming technologies.
-
Students interested in agrivoltaics, AI applications, and sustainable food–energy–water systems.
Important Dates
Registration Ends
09/22/2025
IST 4:30 PM
Workshop Dates
09/22/2025 – 09/24/2025
IST 5:30 PM
Workshop Outcomes
-
Understand agrivoltaic principles and the role of AI in optimizing crop–energy–water systems.
-
Apply AI models, digital twins, and predictive analytics to enhance yield, irrigation, and energy generation.
-
Use smart sensors and IoT tools for real-time monitoring and decision-making.
-
Evaluate economic, technical, and policy aspects of agrivoltaic projects.
-
Design strategies for sustainable and adaptive food–energy–water integration.
Fee Structure
Student Fee
₹1999 | $60
Ph.D. Scholar / Researcher Fee
₹2999 | $70
Academician / Faculty Fee
₹3999 | $80
Industry Professional Fee
₹5999 | $100
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Publication Opportunity
Get published in a prestigious open-access journal.
Centre of Excellence
Become part of an elite research community.
Networking & Learning
Connect with global researchers and mentors.
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
View All Feedbacks →