RGB imaging-based detection of rice leaf blast spot and resistance evaluation at the canopy scale

Visual inspection of rice leaf blast resistance is time-consuming and labor-intensive with low accuracy. Therefore, this study aims to identify and detect rice leaf blast spots based on RGB imaging of rice canopy combined with mask regions with convolutional neural network (Mask-RCNN), and develop m...

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Bibliographic Details

Published in:	浙江大学学报. 农业与生命科学版
Main Authors:	XIE Pengyao, FU Haowei, TANG Zheng, MA Zhihong, CEN Haiyan
Format:	Article
Language:	English
Published:	Zhejiang University Press 2021-08-01
Subjects:	canopy scale rice disease leaf blast detection deep learning resistance evaluation
Online Access:	https://www.academax.com/doi/10.3785/j.issn.1008-9209.2021.05.131