Javad Mohammadpour Velni
Clemson University, SC·Engineering
Feeding a growing world population will require producing an estimated 70% more food by 2050. Controlled-environment agriculture (CEA), such as greenhouses and indoor farms where light, temperature, and other conditions are managed, could help.
- Fields
Engineering
Plant Science & Agriculture
Computer Science
- Topics
controlled-environment agriculture
greenhouses
indoor farming
- Grants
- 1 known grant, through Sep 2027
What they work on
- Integrate photosynthesis models with real-time biophysical measurements to optimize environmental settings such as light and climate for crop growth in controlled-environment agriculture facilities.
- Monitor crop growth and environmental conditions automatically using AI-guided analysis of image and sensor data within a networked cyber-physical system.
- Develop control methods that optimally distribute mobile robot manipulators across large growing facilities for automated data collection with safety guarantees.
- Devise stochastic control tools that adjust environmental parameters for each crop species and growth stage, while managing renewable energy and storage to cut grid dependence and energy cost.
More about the research
But CEA facilities use a lot of energy, which raises costs and limits how widely they are adopted. This project asks how sensing, data analysis, automation, and renewable energy can be combined to grow crops efficiently while cutting energy costs and reliance on the power grid.
Why it matters
Indoor and greenhouse farms could help meet rising food demand, but high energy costs limit their use. Combining smart sensing, robotic data collection, and renewable energy management could reduce growers' energy bills and grid dependence while improving crop yield. This could make controlled-environment agriculture more affordable and support food security. The control methods could also apply to other cyber-physical systems.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Kofi Nyarko
Morgan State University, MD·Computer Science
Assess the commercial translation potential of an AI supervisory control platform for controlled-environment agriculture, through hands-on investigation of the hydroponic and greenhouse industry.
Jan Kleissl
University of California-San Diego, CA·Engineering
Build DERConnect, a remote-access testbed that integrates solar panels, battery storage, electric vehicles, wind and solar emulators, and controllable building lighting and HVAC (heating, ventilation and air conditioning) systems.
Somali Chaterji
Purdue University, IN·Computer Science·Early-career
Develop on-device machine learning analytics for farm sensors that adapt to each device's computing power, changing network conditions and competition from co-located applications.
The school
Clemson University: 19 labs on PI Pages, $339M a year on research, 297 research doctorates a year.
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