German Mandrini
Agricultural and Biological Sciences · Purdue University West Lafayette
Publications
15
Citations
88
Est. group size
~1
Recurring co-author estimate
Active years
9
Publishing since 2018
German Mandrini works on data-driven approaches to crop management, combining crop simulation models, remote sensing, and machine learning to study nitrogen fertilizer use, crop yield prediction, and field-level phenology (the timing of crop growth stages) in row crops like corn and wheat. Much of the work addresses practical questions about balancing farm profitability with environmental outcomes, such as nitrogen pollution, and developing tools like satellite-based prediction models and image-based crop analysis. The research often involves large-scale simulated or field datasets across the US Midwest and wheat belt regions.
Publication output was sparse and irregular in the earlier part of the decade but has increased notably in 2025 and 2026, suggesting a recent growth in activity.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Assessing robustness and transferability of image‐based semantic segmentation models for major field crops
The Plant Phenome Journal · 2026
- A Phenology-Aligned Temporal Framework Improves Satellite-Based Field-Level Wheat Grain Protein Prediction
Research Square · 2026
- WheatPhenologyHRW: code and de-identified per-field dataset for a multi-stage remote-sensing hybrid framework for field-scale winter-wheat phenology (U.S. Hard Red Winter belt)
Zenodo (CERN European Organization for Nuclear Research) · 2026
- WheatPhenologyHRW: code and de-identified per-field dataset for a multi-stage remote-sensing hybrid framework for field-scale winter-wheat phenology (U.S. Hard Red Winter belt)
Zenodo (CERN European Organization for Nuclear Research) · 2026
- The Seasonal Characterization Engine, an Application for Describing Environment from the Perspective of Crop Development
SSRN Electronic Journal · 2025
- Maize Ear Sensing for on-Farm Yield Predictions
2025
- A market-based insurance approach aligns environmental and economic outcomes in maize nitrogen management
Communications Earth & Environment · 2025
- Corrigendum: Exploring trade-offs between profit, yield, and the environmental footprint of potential nitrogen fertilizer regulations in the US Midwest
Frontiers in Plant Science · 2023
- Exploring Trade-Offs Between Profit, Yield, and the Environmental Footprint of Potential Nitrogen Fertilizer Regulations in the US Midwest
Frontiers in Plant Science · 2022
- Understanding differences between static and dynamic nitrogen fertilizer tools using simulation modeling
Agricultural Systems · 2021
- Simulated dataset of corn response to nitrogen over thousands of fields and multiple years in Illinois
Data in Brief · 2021
- Simulated dataset of corn response to Nitrogen over thousands of fields and multiple years in Illinois
Lincoln (University of Nebraska) · 2021
- Modeling the economic and environmental effects of corn nitrogen management strategies in Illinois
Field Crops Research · 2020
- Using crop simulation to optimize variable rate experimentation
IDEALS (University of Illinois Urbana-Champaign) · 2018
- Frontiers in Plant Science×3
- Zenodo (CERN European Organization for Nuclear Research)×2
- Field Crops Research×1
- Agricultural Systems×1
- Agronomy Journal×1
- Luis Vargas-Rojas
Agricultural and Biological Sciences · Purdue University West Lafayette
- Davide Cammarano
Agricultural and Biological Sciences · Purdue University West Lafayette
- Xiaoshang Deng
Agricultural and Biological Sciences · Purdue University West Lafayette
- Julio C. Postigo
Agricultural and Biological Sciences · Indiana University
- Amit Prasad Timilsina
Agricultural and Biological Sciences · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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