Comparing Machine Learning Algorithms for Estimating the Maize Crop Water Stress Index (CWSI) Using UAV-Acquired Remotely Sensed Data in Smallholder Croplands

Comparing Machine Learning Algorithms for Estimating the Maize Crop Water Stress Index (CWSI) Using UAV-Acquired Remotely Sensed Data in Smallholder Croplands

Monitoring and mapping crop water stress and variability at a farm scale for cereals such as maize, one of the most common crops in developing countries with 200 million people around the world, is an important objective within precision agriculture. In this regard, unmanned aerial vehicle-obtained...

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Bibliographic Details
Main Authors: Mpho Kapari, Mbulisi Sibanda, James Magidi, Tafadzwanashe Mabhaudhi, Luxon Nhamo, Sylvester Mpandeli
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Drones
Subjects:
Crop Water Stress Index (CWSI)
UAV
smallholder farms
maize
machine learning
precision agriculture
Online Access:https://www.mdpi.com/2504-446X/8/2/61

Internet

https://www.mdpi.com/2504-446X/8/2/61

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