Convolutional Neural Network Based Plant Disease Detection: A Review

Article Properties
Cite
Das, Saradindu, and Abhilasha Sharma. “Convolutional Neural Network Based Plant Disease Detection: A Review”. SSRN Electronic Journal, 2024, https://doi.org/10.2139/ssrn.4495866.
Das, S., & Sharma, A. (2024). Convolutional Neural Network Based Plant Disease Detection: A Review. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4495866
Das, Saradindu, and Abhilasha Sharma. “Convolutional Neural Network Based Plant Disease Detection: A Review”. SSRN Electronic Journal, 2024. https://doi.org/10.2139/ssrn.4495866.
Das S, Sharma A. Convolutional Neural Network Based Plant Disease Detection: A Review. SSRN Electronic Journal. 2024;.
Refrences
Title Journal Journal Categories Citations Publication Date
Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning 2017
Deep learning Nature
  • Science: Science (General)
 36,146 2015
Detection of Apple Plant Diseases Using Leaf Images Through Convolutional Neural Network IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
 2023
A Performance-Optimized Deep Learning-Based Plant Disease Detection Approach for Horticultural Crops of New Zealand IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
 2022
Cardamom Plant Disease Detection Approach Using EfficientNetV2 IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
 2022
Refrences Analysis
Category Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics6
Agriculture: Agriculture (General)4
Science: Mathematics: Instruments and machines: Electronic computers. Computer science4
Technology: Electrical engineering. Electronics. Nuclear engineering3
Science: Science (General): Cybernetics: Information theory3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks3
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication3
Agriculture: Plant culture3
Science: Science (General)1
Agriculture1
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 6 is the most frequently represented among the references in this article. It primarily includes studies from IEEE Access and Computers and Electronics in Agriculture. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year