High-Precision Tea Plantation Mapping with Multi-Source Remote Sensing and Deep Learning

High-Precision Tea Plantation Mapping with Multi-Source Remote Sensing and Deep Learning

Accurate mapping of tea plantations is crucial for agricultural management and economic planning, yet it poses a significant challenge due to the complex and variable nature of tea cultivation landscapes. This study presents a high-precision approach to mapping tea plantations in Anji County, Zhejia...

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Bibliographic Details
Main Authors: Yicheng Zhou, Lingbo Yang, Lin Yuan, Xin Li, Yihu Mao, Jiancong Dong, Zhenyu Lin, Xianfeng Zhou
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agronomy
Subjects:
tea plantation mapping
multi-source remote sensing
deep learning
semantic segmentation
agricultural monitoring
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Online Access:https://www.mdpi.com/2073-4395/14/12/2986
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