Pixel-based yield mapping and prediction from Sentinel-2 using spectral indices and neural networks
Gregor Perich; Mehmet Özgür Türkoglu; Lukas Valentin Graf; Jan Dirk Wegner; Helge Aasen; Achim Walter; Frank Liebisch · 2023 · Field Crops Research
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Mapping and predicting crop yield on a large scale is increasingly important for use cases such as policy-making, risk insurance and precision agriculture applications at farm and field scale. The higher spatial resolution of Sentinel-2 compared to Landsat allows for satellite-based crop yield mapping even in relatively small scaled agricultural settings such as found in Switzerland and other central European regions. In this study, five years (2017–2021) of cereal crop yield data from a combine harvester were used to model crop yield within-field, on a spatial scale corresponding to the Senti
Abstract by Gregor Perich; Mehmet Özgür Türkoglu; Lukas Valentin Graf; Jan Dirk Wegner; Helge Aasen; Achim Walter; Frank Liebisch, Field Crops Research (2023) — licensed CC BY 4.0.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Is CO 2 an Indoor Pollutant? Direct Effects of Low-to-Moderate CO 2 Concentrations on Human Decision-Making Performance
Negative / Null Result ReportIngestion of Nanoplastics and Microplastics by Pacific Oyster Larvae
Negative / Null Result ReportHealth Effects of Chronic Arsenic Exposure
Negative / Null Result ReportSevere Air Pollution and Labor Productivity: Evidence from Industrial Towns in China
Negative / Null Result ReportLand-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers
Negative / Null Result ReportTraffic-Related Air Pollution and Cognitive Function in a Cohort of Older Men
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1016/j.fcr.2023.108824