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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Bibliographic Details
Main Authors: Ilnas Sahabiev, Elena Smirnova, Kamil Giniyatullin
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
S
Online Access:https://doaj.org/article/d24790a9e76a4a05b5f6f30e817209e3
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