Potential Impact of Learning Management Zones for Site-Specific <i>N</i> Fertilisation: A Case Study for Wheat Crops

This paper proposes an automatic, machine learning methodology for precision agriculture, aiming at learning management zones that allow a more efficient and sustainable use of fertiliser. In particular, the methodology consists of clustering remote sensing data and estimating the impact of decision...

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Bibliographic Details
Main Authors: Camilo Franco, Nicolás Mejía, Søren Marcus Pedersen, René Gislum
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Nitrogen
Subjects:
Online Access:https://www.mdpi.com/2504-3129/3/2/25