Topdressing Nitrogen Demand Prediction in Rice Crop Using Machine Learning Systems

Topdressing Nitrogen Demand Prediction in Rice Crop Using Machine Learning Systems

This research is an outcome of the R&D activities of Ecodevelopment S.A. (steadily supported by the Hellenic Agricultural Organization—Demeter) towards offering precision farming services to rice growers. Within this framework, a new methodology for topdressing nitrogen prediction was developed...

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Bibliographic Details
Main Authors: Miltiadis Iatrou, Christos Karydas, George Iatrou, Ioannis Pitsiorlas, Vassilis Aschonitis, Iason Raptis, Stelios Mpetas, Kostas Kravvas, Spiros Mourelatos
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Agriculture
Subjects:
precision agriculture
RapidEye imagery
sentinel imagery
yield maps
XGBoost
Online Access:https://www.mdpi.com/2077-0472/11/4/312

Internet

https://www.mdpi.com/2077-0472/11/4/312

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