Identification of maize leaf diseases by using the SKPSNet-50 convolutional neural network model

Weihui Zeng; Haidong Li; Gensheng Hu; Dong Liang

doi:10.1016/j.suscom.2022.100695

ScienceGate Book Chapters

JOURNAL ARTICLE

Identification of maize leaf diseases by using the SKPSNet-50 convolutional neural network model

Weihui Zeng Haidong Li Gensheng Hu Dong Liang

Year: 2022 Journal: Sustainable Computing Informatics and Systems Vol: 35 Pages: 100695-100695 Publisher: Elsevier BV

DOI: 10.1016/j.suscom.2022.100695

Get Full-Text PDF Get Analytical Report

Keywords:

Convolutional neural network Artificial intelligence Kernel (algebra) Support vector machine Pattern recognition (psychology) Identification (biology) Computer science Artificial neural network Block (permutation group theory) Convolution (computer science) Machine learning Mathematics Biology Botany

Metrics

Cited By

7.46

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Smart Agriculture and AI

Life Sciences → Agricultural and Biological Sciences → Plant Science

Plant Disease Management Techniques

Life Sciences → Agricultural and Biological Sciences → Plant Science

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Identification of maize leaf diseases by using the SKPSNet-50 convolutional neural network model

Metrics

Citation History

Topics

Related Documents

Maize Leaf Diseases Identification using Data Augmentation and Convolutional Neural Network

Identification of Maize Leaf Diseases based on Convolutional Neural Network

Enhanced Convolutional Neural Network (ECNN) for Maize Leaf Diseases Identification

Identification of Grape Leaf Diseases Using Convolutional Neural Network

Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neural Networks