Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system Article Swipe
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Ning Lu
,
Jie Zhou
,
Zixu Han
,
Dong Li
,
Qiang Cao
,
Xia Yao
,
Yongchao Tian
,
Yan Zhu
,
Weixing Cao
,
Tao Cheng
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1186/s13007-019-0402-3
· OA: W2937353161
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1186/s13007-019-0402-3
· OA: W2937353161
Our findings implied that an inexpensive approach consisting of the RF algorithm and the combination of RGB imagery and point cloud data derived from a low-cost UAV system at the consumer-grade level can be used to improve the accuracy of AGB estimation and have potential in the practical applications in the rapid estimation of other growth parameters.
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