Improving Agricultural Efficiency of Dry Farmlands by Integrating Unmanned Aerial Vehicle Monitoring Data and Deep Learning

Improving Agricultural Efficiency of Dry Farmlands by Integrating Unmanned Aerial Vehicle Monitoring Data and Deep Learning

This study aimed to address the challenge of monitoring and managing soil moisture in dryland agriculture with supplemental irrigation under increasingly extreme climate conditions. Using unmanned aerial vehicles (UAVs) equipped with hyperspectral sensors, we collected imagery of wheat fields on Kin...

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Bibliographic Details
Main Authors: Tung-Ching Su, Tsung-Chiang Wu, Hsin-Ju Chen
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Land
Subjects:
dry farmland
gradient boosting regression (GBR)
hyperspectral sensors
modified perpendicular drought index (MPDI)
unmanned aerial vehicles (UAVs)
Online Access:https://www.mdpi.com/2073-445X/14/6/1179
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