Louis Longchamps

Prof Asst
SIPS - Soil and Crop Sciences Section · CALS

Louis Longchamps serves as Assistant Professor in SIPS - Soil and Crop Sciences Section at Cornell University.

Recent Papers (10)
2026-08-03 · Computers and Electronics in Agriculture · Environmental Engineering
GeoDaRT: Contextual geospatial data infrastructure for distributed on-farm experimentation
Louis LongchampsProf Asst, SIPS - Soil and Crop Sciences Section · CALS
2026-07-21 · Zenodo (CERN European Organization for Nuclear Research)
STADS Field Evaluation: Supplementary Data, Materials, and Analysis Code
Louis LongchampsProf Asst, SIPS - Soil and Crop Sciences Section · CALS
2026-07-21 · Zenodo (CERN European Organization for Nuclear Research)
STADS Field Evaluation: Supplementary Data, Materials, and Analysis Code
Louis LongchampsProf Asst, SIPS - Soil and Crop Sciences Section · CALS
2026-03-09 · Precision Agriculture · Ecology, Evolution, Behavior and Systematics
Integrating stability zones and machine learning for enhanced crop management
Louis LongchampsProf Asst, SIPS - Soil and Crop Sciences Section · CALS
2026-01-19 · Computers and Electronics in Agriculture · Ecology
Yield forecasting in maize: Performance and limits of unmanned aerial vehicle and PlanetScope remote sensing across multiple growth cycles
Louis LongchampsProf Asst, SIPS - Soil and Crop Sciences Section · CALS
2026-01-01 · Ecology and Society · Ecology, Evolution, Behavior and Systematics
Farmer-centric on-farm experimentation as everyday transformative change for climate adaptation: a systematic review
Chuan LiaoProf Asst, Global Development · CALS
Louis LongchampsProf Asst, SIPS - Soil and Crop Sciences Section · CALS
2026-01-01 · SSRN Electronic Journal · Environmental Engineering
A Geospatial Data Retrieval Tool (GeoDaRT) for Contextualizing On-Farm Experimentation in the United States of America
Louis LongchampsProf Asst, SIPS - Soil and Crop Sciences Section · CALS
2025-12-27 · Computers and Electronics in Agriculture · Environmental Engineering
Predictive power vs interpretability: Machine learning approaches to unravel sugarcane yield drivers
Louis LongchampsProf Asst, SIPS - Soil and Crop Sciences Section · CALS
2025-11-01 · Agronomy Journal · Environmental Engineering
Strengthening farmer‐led experiments through agronomic and causal inference frameworks
Louis LongchampsProf Asst, SIPS - Soil and Crop Sciences Section · CALS
Daniel H. BuckleyProfessor, SIPS - Soil and Crop Sciences Section · CALS
2025-10-01 · Animal - science proceedings · Agronomy and Crop Science
61. The Cornell Agricultural Systems Testbed and Demonstration site (CAST) for the farm of the future
Quirine M. KetteringsProfessor, Animal Science · CALS
Hakim WeatherspoonProfessor, Computer Science DEPT · BCIS
Louis LongchampsProf Asst, SIPS - Soil and Crop Sciences Section · CALS