Field-Scale Winter Wheat Growth Prediction Applying Machine Learning Methods with Unmanned Aerial Vehicle Imagery and Soil Properties

Field-Scale Winter Wheat Growth Prediction Applying Machine Learning Methods with Unmanned Aerial Vehicle Imagery and Soil Properties

Monitoring crop growth conditions during the growing season provides information on available soil nutrients and crop health status, which are important for agricultural management practices. Crop growth frequently varies due to site-specific climate and farm management practices. These variations m...

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Bibliographic Details
Main Authors: Lwandile Nduku, Cilence Munghemezulu, Zinhle Mashaba-Munghemezulu, Wonga Masiza, Phathutshedzo Eugene Ratshiedana, Ahmed Mukalazi Kalumba, Johannes George Chirima
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Land
Subjects:
winter wheat
crop growth
vegetation indices
soil properties
machine learning
Online Access:https://www.mdpi.com/2073-445X/13/3/299

Internet

https://www.mdpi.com/2073-445X/13/3/299

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