Where is tea grown in the world: A robust mapping framework for agroforestry crop with knowledge graph and sentinels images

Author:

Peng Yufeng,Qiu Bingwen,Tang Zhenghong,Xu Weiming,Yang Peng,Wu Wenbin,Chen Xuehong,Zhu Xiaolin,Zhu Peng,Zhang Xin,Wang Xinshuang,Zhang Chengming,Wang Laigang,Li Mengmeng,Liang Juanzhu,Huang Yingze,Cheng Feifei,Chen Jianfeng,Wu Fangzheng,Jian Zeyu,Li Zhengrong

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference102 articles.

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2. Integrating multiple texture methods and NDVI to the random Forest classification algorithm to detect tea and hazelnut plantation areas in Northeast Turkey;Akar;Int. J. Remote Sens.,2015

3. Extraction of phenolic compounds: a review;Alara;Curr. Res. Food Sci.,2021

4. Soil formation in the Canadian prairie region;Anderson;Prairie Soils Crop,2010

5. Towards user-adaptive remote sensing: knowledge-driven automatic classification of Sentinel-2 time series;Arvor;Remote Sens. Environ.,2021

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