Feasibility of Combining Deep Learning and RGB Images Obtained by Unmanned Aerial Vehicle for Leaf Area Index Estimation in Rice

Feasibility of Combining Deep Learning and RGB Images Obtained by Unmanned Aerial Vehicle for Leaf Area Index Estimation in Rice

Leaf area index (LAI) is a vital parameter for predicting rice yield. Unmanned aerial vehicle (UAV) surveillance with an RGB camera has been shown to have potential as a low-cost and efficient tool for monitoring crop growth. Simultaneously, deep learning (DL) algorithms have attracted attention as...

Full description

Bibliographic Details
Main Authors: Tomoaki Yamaguchi, Yukie Tanaka, Yuto Imachi, Megumi Yamashita, Keisuke Katsura
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
unmanned aerial vehicle
drone
deep learning
leaf area index
growth estimation
rice
Online Access:https://www.mdpi.com/2072-4292/13/1/84

Internet

https://www.mdpi.com/2072-4292/13/1/84

Similar Items