@article{23033fbdd26a4bfdb177ebbacf7bdb9d,
title = "Mapping soil pollution by using drone image recognition and machine learning at an arsenic-contaminated agricultural field",
abstract = "Use drone image recognition and machine learning to map soil pollution distribution at an arsenic-contaminated agricultural field.",
keywords = "Arsenic contamination, HRAI, Machine learning, Remote sensing, Soil pollution",
author = "Xiyue Jia and Yining Cao and David O'Connor and Jin Zhu and Tsang, {Daniel C.W.} and Bin Zou and Deyi Hou",
note = "Funding Information: This work was supported by the National Natural Science Foundation of China (Grant No. 42077118 ), and National Key Research and Development Program of China (Grant No. 2019YFC1804900 ). Publisher Copyright: {\textcopyright} 2020 Elsevier Ltd Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = feb,
day = "1",
doi = "10.1016/j.envpol.2020.116281",
language = "English",
volume = "270",
journal = "Environmental Pollution",
issn = "0269-7491",
publisher = "Elsevier Ltd",
}