Agricultural and Life Sciences (IFAS)
Pavan Lab
Led by Willingthon Pavan · Agricultural and Biological Engineering
What we study
Dr. Pavan's lab uses computer models and data to study crop diseases, pests, and sustainability, helping farmers make better decisions with tools like DSSAT and early-warning systems.
What working here is like
- Computational
- Plants
- No organisms (data only)
- Coding required
- Projects
- 4
- Papers
- 5
Current projects
Strawberry Advisory System (SAS)
Develops the Strawberry Advisory System, an online tool that uses weather data to predict strawberry disease risk and tell growers when to spray.
Generic Disease Model (GDM)
Develops a Generic Disease Model, a single modeling framework that can be adapted to predict risk for many different crop diseases from weather conditions.
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Fusarium Head Blight modeling
Builds models that predict when wheat is at risk of Fusarium Head Blight and its mycotoxins, using weather and crop data to help farmers time decisions.
Insect pest models
Builds models to estimate how much yield insect pests, such as soybean aphids, cost crops, to help farmers decide when to act.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Automated Irrigation Enhances Water Use Efficiency, Yield, and Fruit Quality of Strawberry Plants Grown with Biostimulants in a Soilless System
2026 · AgriEngineering
Develops an automated irrigation system for strawberry plants and tests its effects on yield and fruit quality.
- Estimating the risk of pre-harvest aflatoxin contamination in Peanut with the CROPGRO-Peanut model
2026 · Agricultural Systems
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- Planting Date and Nitrogen Interactions Shaping Rainfed Maize Productivity in Uganda: A Geospatial Crop Modelling Implementation
2026 · Irrigation and Drainage
Evaluates whether a point-based crop model can simulate maize response to planting dates and nitrogen rates nationally.
- A robust rank aggregation based interpretable minimum predictor set for scalable soil organic carbon mapping
2026 · Computers and Electronics in Agriculture
- The ongoing journey of modelling intercropping systems: A conceptual resource sharing intercomparison from model developers and expert users
2026 · KITopen
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
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