Modelling of Intra-Field Winter Wheat Crop Growth Variability Using in Situ Measurements, Unmanned Aerial Vehicle-Derived Vegetation Indices, Soil Properties, and Machine Learning Algorithms

Modelling of Intra-Field Winter Wheat Crop Growth Variability Using in Situ Measurements, Unmanned Aerial Vehicle-Derived Vegetation Indices, Soil Properties, and Machine Learning Algorithms

Crop growth and yield often vary, not only between farms, but also at the sub-field level. These variations can stem from sub-field heterogeneities of soil and plant biophysical parameters. This means that soil and plant biophysical data can be used to predict intra-field crop growth and yield varia...

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書目詳細資料
Main Authors: Lwandile Nduku, Cilence Munghemezulu, Zinhle Mashaba-Munghemezulu, Wonga Masiza, Phathutshedzo Eugene Ratshiedana, Ahmed Mukalazi Kalumba, Johannes George Chirima
格式: Article
語言:English
出版: MDPI AG 2023-11-01
叢編:Environmental Sciences Proceedings
主題:
wheat
UAV
vegetation indices
soil properties
Gaussian process regression
least-squares boosting and bagging regression
在線閱讀:https://www.mdpi.com/2673-4931/29/1/24

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