Corn grain and silage yield class prediction for zone delineation using high-resolution satellite imagery

S. Sunoj, Benjamin Polson, Isha Vaish, Manuel Marcaida, Louis Longchamps, Jan van Aardt and Quirine M. Ketterings

Agricultural Systems, 2024, vol. 218, issue C

Abstract: Reliable stability zone delineation requires considering spatial variability from each year and temporal variability across at least three years. Yet, in cases where farms lack either temporal or spatial records, leveraging remote sensing and machine learning to predict corn (Zea mays L.) yield classes should be studied.

Keywords: Corn; Remote sensing; Satellite; Soil indices; Vegetation indices; Yield monitor (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:218:y:2024:i:c:s0308521x24001598

DOI: 10.1016/j.agsy.2024.104009

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