Adaptive Estimation of Crop Water Stress in Nectarine and Peach Orchards Using High-Resolution Imagery from an Unmanned Aerial Vehicle (UAV)

Adaptive Estimation of Crop Water Stress in Nectarine and Peach Orchards Using High-Resolution Imagery from an Unmanned Aerial Vehicle (UAV)

The capability to monitor water status from crops on a regular basis can enhance productivity and water use efficiency. In this paper, high-resolution thermal imagery acquired by an unmanned aerial vehicle (UAV) was used to map plant water stress and its spatial variability, including sectors under...

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Bibliographic Details
Main Authors: Suyoung Park, Dongryeol Ryu, Sigfredo Fuentes, Hoam Chung, Esther Hernández-Montes, Mark O’Connell
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Remote Sensing
Subjects:
thermal infrared (TIR) imagery
crop water stress index (CWSI)
adaptive reference temperature thresholds
Gaussian mixture model (GMM)
edge detection
stem water potential (SWP) map
Online Access:https://www.mdpi.com/2072-4292/9/8/828

Internet

https://www.mdpi.com/2072-4292/9/8/828

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