A diagnosis model of soybean leaf diseases based on improved residual neural network-Reference-Cited by-同舟云学术

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A diagnosis model of soybean leaf diseases based on improved residual neural network

Published:2023-06 Issue: Volume:237 Page:104824
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Yu Miao,Ma Xiaodan,Guan Haiou,Zhang Tao

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference23 articles.

1. Research progression utilization of soybean heterosis;Sun;Soybean Sci. Technol.,2021

2. Recognition Method for Crop Canopies Based on Thermal Infrared Image Processing Technology [D]. Spectroscopy and Spectral Analysis;Liu,2020

3. Occurrence status and green control counter measure for diseases and insect pests of soybeans in shandong Province;Guo;Soybean Sci. Technol.,2021

4. Turnbull. Disease reaction to Rhizoctonia solani and yield losses in soybean;Chang;Can. J. Plant Sci.,2018

5. Comprehensive control measures of crop pests and diseases;Cao;Agric. Technol.,2017

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