A new Conv2D model with modified ReLU activation function for identification of disease type and severity in cucumber plant-Reference-Cited by-同舟云学术

A new Conv2D model with modified ReLU activation function for identification of disease type and severity in cucumber plant

Published:2021-06 Issue: Volume:30 Page:100473
ISSN:2210-5379
Container-title:Sustainable Computing: Informatics and Systems
language:en
Short-container-title:Sustainable Computing: Informatics and Systems

Author:

Agarwal Mohit,Gupta Suneet^ORCID,Biswas K.K.^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science

Reference46 articles.

1. Leaf image based cucumber disease recognition using sparse representation classification;Zhang;Comput. Electron. Agric.,2017

2. Detection of huanglongbing in Florida using fluorescence imaging spectroscopy and machine-learning methods;Wetterich;Appl. Opt.,2017

3. Combining decision tree and Naive Bayes for classification;Wang;Knowl.-Based Syst.,2006

4. Dimension reduction using semi-supervised locally linear embedding for plant leaf classification;Zhang;International Conference on Intelligent Computing,2009

5. Using deep learning for image-based plant disease detection;Mohanty;Front. Plant Sci.,2016

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