Data Intensive Farm Management (DIFM)
Overview
This project conducts on-farm input experiments (e.g., fertilizer, seed) across the U.S. (primarily in the Midwest) and in other countries (e.g., South Africa, Argentina). We analyze the data and generate input use recommendations for the owners of the experimental fields. Additionally, this project develops cyber-infrastructure to design and conduct on-farm randomized agricultural input trials, analyze the data, and produce actionable input management reports.
Key Research Topics
- Economic evaluation of various trial designs
- Evaluation of statistical methods to estimate site-specific yield response functions
- Economic evaluation of on-farm trials
Relevant Publications
| Year | Title | Journal |
|---|---|---|
| 2024 | Can machine learning models provide accurate fertilizer recommendations? (Paper) | Precision Agriculture |
| 2024 | Leveraging digital agriculture for on-farm testing of technologies (Paper) | Frontiers in Agronomy |
| 2023 | Assessing performance of empirical models for forecasting crop responses to variable fertilizer rates using on-farm precision experimentation (Paper) | Precision Agriculture |
| 2023 | Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation (Paper) | Precision Agriculture |
| 2023 | The economic performances of different trial designs in on-farm precision experimentation: a Monte Carlo evaluation (Paper, GitHub Repository) | Precision Agriculture |
| 2023 | Toward an effective approach for on-farm experimentation: Lessons learned from a case study of fertilizer application optimization in Japan (Paper) | Precision Agriculture |
| 2022 | Causal forest approach for site-specific input management via on-farm precision experimentation (Paper, GitHub Repository) | Computers and Electronics in Agriculture |
| 2021 | Understanding differences between static and dynamic nitrogen fertilizer tools using simulation modeling (Paper) | Agricultural Systems |
| 2021 | An economic evaluation of site-specific input application Rx maps: evaluation framework and case study (Paper) | Precision Agriculture |
| 2020 | The value of conducting on-farm field trials using precision agriculture technology: a theory and simulations (Paper) | Precision Agriculture |
No matching items