Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system.

Ning LuJie ZhouZixu HanDong LiQiang CaoXia YaoYongchao TianYan ZhuWeixing CaoTao Cheng

Published in: Plant methods (2019)

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.

Keyphrases

low cost
electronic health record
big data
machine learning
data analysis
social media
artificial intelligence
quantum dots