LAD-Net: A Novel Light Weight Model for Early Apple Leaf Pests and Diseases Classification

Author:

Zhu Xianyu1ORCID,Li Jinjiang1,Jia Runchang1,Liu Bin2ORCID,Yao Zhuohan1,Yuan Aihong1,Huo Yingqiu1,Zhang Haixi1

Affiliation:

1. College of Information Engineering, Northwest A&F University, Yangling, Shaanxi, China

2. Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, College of Information Engineering, Northwest A&F University, Yangling, Shaanxi, China

Funder

Shaanxis Key Research and Development Program

CCF-Baidu

Key Research and Development Project of Shaanxi

National College Innovation and Entrepreneurship Training Program of Northwest A&F University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Cited by 19 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. A deep evidence fusion framework for apple leaf disease classification;Engineering Applications of Artificial Intelligence;2024-10

2. Deep Learning-Based Detection of Foliar Diseases in Apple Plants Using an Assembled CNN Model;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18

3. INCEPTION SH: A NEW CNN MODEL BASED ON INCEPTION MODULE FOR CLASSIFYING SCENE IMAGES;Mühendislik Bilimleri ve Tasarım Dergisi;2024-06-30

4. A comparative stratification of Automated Indagation on Apple Disease Using DeepSpectral Generative Adversarial and Densenet Convolutional Neural Network;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

5. EResNet‐SVM: an overfitting‐relieved deep learning model for recognition of plant diseases and pests;Journal of the Science of Food and Agriculture;2024-04-27

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