A multi-scale feature fusion neural network for multi-class disease classification on the maize leaf images-Reference-Cited by-同舟云学术

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A multi-scale feature fusion neural network for multi-class disease classification on the maize leaf images

Published:2024-04 Issue:7 Volume:10 Page:e28264
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Liu Liangliang^ORCID,Qiao Shixin,Chang Jing,Ding Weiwei^ORCID,Xu Cifu,Gu Jiamin,Sun Tong,Qiao Hongbo

Publisher

Elsevier BV

Reference42 articles.

1. Predicting the fundamental thermal niche of crop pests and diseases in a changing world: a case study on citrus greening;Taylor;J. Appl. Ecol.,2019

2. Synergies and tradeoffs in natural regulation of crop pests and diseases under plant species diversification;Ratnadass;Crop Prot.,2021

3. Modelling the impacts of pests and diseases on agricultural systems;Donatelli;Agric. Syst.,2017

4. Automatic system for crop pest and disease dynamic monitoring and early forecasting;Dong;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2020

5. Occurrence of crop pests and diseases has largely increased in China since 1970;Wang;Nat. Food,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Image Recognition and Classification of Farmland Pests Based on Improved Yolox-Tiny Algorithm;Applied Sciences;2024-06-26

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