Spatial Prediction of Agrochemical Properties on the Scale of a Single Field Using Machine Learning Methods Based on Remote Sensing Data
Creating accurate digital maps of the agrochemical properties of soils on a field scale with a limited data set is a problem that slows down the introduction of precision farming. The use of machine learning methods based on the use of direct and indirect predictors of spatial changes in the agroche...
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Main Authors: | Ilnas Sahabiev, Elena Smirnova, Kamil Giniyatullin |
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Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
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Subjects: | |
Online Access: | https://doaj.org/article/d24790a9e76a4a05b5f6f30e817209e3 |
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