Plant Disease Detection and Classification by Deep Learning

Article Properties
  • Language
    English
  • Publication Date
    2019/10/31
  • Journal
  • Indian UGC (journal)
  • Refrences
    115
  • Citations
    213
  • Saleem
  • Potgieter
  • Mahmood Arif
Abstract
Journal Categories
Agriculture
Animal culture
Agriculture
Plant culture
Science
Botany
Science
Botany
Plant ecology
Refrences
Title Journal Journal Categories Citations Publication Date
Depthwise separable convolution architectures for plant disease classification Computers and Electronics in Agriculture
  • Agriculture: Agriculture (General)
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Agriculture: Plant culture
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
123 2019
Deep learning for plant diseases: Detection and saliency map visualisation 2018
Deep interpretable architecture for plant diseases classification 2019
Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps 2018
Deep learning in finance 2016
Citations
Title Journal Journal Categories Citations Publication Date
Intelligent detection for sustainable agriculture: A review of IoT-based embedded systems, cloud platforms, DL, and ML for plant disease detection Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2024
Computer Vision for Plant Disease Recognition: A Comprehensive Review The Botanical Review
  • Agriculture: Plant culture
  • Agriculture: Animal culture
  • Science: Botany: Plant ecology
1 2024
A novel probabilistic intermittent neural network (PINN) and artificial jelly fish optimization (AJFO)-based plant leaf disease detection system Journal of Plant Diseases and Protection
  • Agriculture: Agriculture (General)
  • Science: Botany: Plant ecology
  • Agriculture: Plant culture
  • Agriculture: Animal culture
2024
Automated quality inspection of baby corn using image processing and deep learning Artificial Intelligence in Agriculture 2024
Plant disease recognition in a low data scenario using few-shot learning Computers and Electronics in Agriculture
  • Agriculture: Agriculture (General)
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Agriculture: Plant culture
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2024
Citations Analysis
Category Category Repetition
Agriculture: Plant culture74
Science: Botany: Plant ecology51
Science: Mathematics: Instruments and machines: Electronic computers. Computer science49
Agriculture: Animal culture42
Agriculture: Agriculture (General)38
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks38
Science: Science (General): Cybernetics: Information theory26
Technology: Engineering (General). Civil engineering (General)25
Agriculture23
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics22
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware18
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software18
Science: Botany16
Science: Biology (General)14
Science: Chemistry14
Technology: Chemical technology14
Technology: Mechanical engineering and machinery12
Science: Geology11
Technology: Technology (General): Industrial engineering. Management engineering11
Geography. Anthropology. Recreation: Geography (General)10
Science10
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication10
Technology: Photography9
Science: Science (General)9
Science: Physics9
Geography. Anthropology. Recreation: Environmental sciences9
Science: Chemistry: General. Including alchemy8
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials8
Technology: Environmental technology. Sanitary engineering8
Science: Biology (General): Ecology7
Technology: Electrical engineering. Electronics. Nuclear engineering7
Science: Mathematics: Instruments and machines7
Science: Chemistry: Analytical chemistry6
Technology: Technology (General): Industrial engineering. Management engineering: Information technology5
Medicine5
Science: Chemistry: Organic chemistry: Biochemistry5
Technology: Manufactures: Production management. Operations management3
Medicine: Medicine (General): Computer applications to medicine. Medical informatics3
Science: Zoology3
Medicine: Medicine (General): Medical technology2
Science: Mathematics2
Technology: Chemical technology: Biotechnology2
Science: Biology (General): Genetics2
Science: Physics: Optics. Light2
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry2
Technology: Manufactures1
Science: Chemistry: Physical and theoretical chemistry1
Technology: Mechanical engineering and machinery: Renewable energy sources1
Science: Biology (General): Life1
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade1
Technology: Home economics: Nutrition. Foods and food supply1
Technology: Motor vehicles. Aeronautics. Astronautics1
Science: Microbiology1
Geography. Anthropology. Recreation: Physical geography1
Medicine: Public aspects of medicine1
Medicine: Medicine (General)1
Social Sciences: Industries. Land use. Labor: Industry1
Technology1
The category Agriculture: Plant culture 74 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Convolutional Neural Network for Automatic Identification of Plant Diseases with Limited Data and was published in 2020. The most recent citation comes from a 2024 study titled From Organelle Morphology to Whole-Plant Phenotyping: A Phenotypic Detection Method Based on Deep Learning. This article reached its peak citation in 2023, with 68 citations. It has been cited in 103 different journals, 27% of which are open access. Among related journals, the Frontiers in Plant Science cited this research the most, with 19 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year