Deep Learning for Tomato Diseases: Classification and Symptoms Visualization

Article Properties
  • Language
    English
  • DOI (url)
    10.1080/08839514.2017.1315516
  • Publication Date
    2017/04/21
  • Journal
    Applied Artificial Intelligence
  • Indian UGC (journal)
  • Refrences
    20
  • Citations
    328
  • Mohammed Brahimi Department of Computer Science, USTHB University, Algiers, AlgeriaDepartment of Computer Science, Mohamed El Bachir El Ibrahimi University, Bordj Bou Arreridj, Algeria ORCID (unauthenticated)
  • Kamel Boukhalfa Department of Computer Science, USTHB University, Algiers, Algeria ORCID (unauthenticated)
  • Abdelouahab Moussaoui Department of Computer Science, Setif 1 University, Setif, Algeria
Cite
Brahimi, Mohammed, et al. “Deep Learning for Tomato Diseases: Classification and Symptoms Visualization”. Applied Artificial Intelligence, vol. 31, no. 4, 2017, pp. 299-15, https://doi.org/10.1080/08839514.2017.1315516.
Brahimi, M., Boukhalfa, K., & Moussaoui, A. (2017). Deep Learning for Tomato Diseases: Classification and Symptoms Visualization. Applied Artificial Intelligence, 31(4), 299-315. https://doi.org/10.1080/08839514.2017.1315516
Brahimi, Mohammed, Kamel Boukhalfa, and Abdelouahab Moussaoui. “Deep Learning for Tomato Diseases: Classification and Symptoms Visualization”. Applied Artificial Intelligence 31, no. 4 (2017): 299-315. https://doi.org/10.1080/08839514.2017.1315516.
1.
Brahimi M, Boukhalfa K, Moussaoui A. Deep Learning for Tomato Diseases: Classification and Symptoms Visualization. Applied Artificial Intelligence. 2017;31(4):299-315.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Science (General)
Cybernetics
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
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Refrences
Title Journal Journal Categories Citations Publication Date
10.1007/978-3-319-10590-1_53 2014
10.1007/978-3-319-10590-1_53 2015
10.1007/978-3-319-10590-1_53 Nature
  • Science: Science (General)
 2015
10.1007/978-3-319-10590-1_53 2015
10.1007/978-3-319-10590-1_53 EPPO Bulletin
  • Science: Botany: Plant ecology
  • Agriculture: Plant culture
 2002
Citations
Title Journal Journal Categories Citations Publication Date
In-use calibration: improving domain-specific fine-grained few-shot recognition Neural Computing and Applications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
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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
A disease monitoring system using multi-class capsule network for agricultural enhancement in muskmelon 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
LWDN: lightweight DenseNet model for plant disease diagnosis Journal of Plant Diseases and Protection
  • Agriculture: Agriculture (General)
  • Science: Botany: Plant ecology
  • Agriculture: Plant culture
  • Agriculture: Animal culture
 2024
Segmentation-based quantification of Tuta absoluta’s damage on tomato plants Smart Agricultural Technology
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  • Agriculture: Agriculture (General)
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  • Agriculture: Plant culture
 2024
Citations Analysis
Category Category Repetition
Agriculture: Plant culture92
Science: Mathematics: Instruments and machines: Electronic computers. Computer science91
Agriculture: Agriculture (General)79
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks72
Agriculture51
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics50
Technology: Engineering (General). Civil engineering (General)46
Science: Science (General): Cybernetics: Information theory45
Science: Botany: Plant ecology44
Agriculture: Animal culture34
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software34
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware30
Science: Chemistry27
Technology: Mechanical engineering and machinery25
Technology: Chemical technology24
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication20
Science: Botany16
Technology: Electrical engineering. Electronics. Nuclear engineering15
Science: Biology (General)14
Science: Chemistry: Analytical chemistry14
Science: Mathematics: Instruments and machines14
Science13
Science: Physics13
Technology: Photography12
Science: Science (General)11
Technology: Technology (General): Industrial engineering. Management engineering11
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials10
Technology: Technology (General): Industrial engineering. Management engineering: Information technology10
Technology: Chemical technology: Food processing and manufacture9
Medicine9
Technology: Environmental technology. Sanitary engineering9
Science: Biology (General): Ecology9
Science: Chemistry: General. Including alchemy8
Geography. Anthropology. Recreation: Environmental sciences8
Geography. Anthropology. Recreation: Geography (General)8
Science: Biology (General): Genetics6
Technology: Home economics: Nutrition. Foods and food supply5
Science: Mathematics4
Science: Geology4
Science: Science (General): Cybernetics4
Technology: Chemical technology: Biotechnology3
Science: Microbiology3
Science: Zoology3
Medicine: Medicine (General): Computer applications to medicine. Medical informatics3
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry3
Technology: Chemical technology: Chemical engineering2
Technology2
Medicine: Medicine (General): Medical technology2
Science: Physics: Acoustics. Sound2
Science: Physics: Optics. Light2
Science: Chemistry: Physical and theoretical chemistry1
Technology: Mechanical engineering and machinery: Renewable energy sources1
Technology: Manufactures: Production management. Operations management1
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods1
Science: Physics: Meteorology. Climatology1
Science: Chemistry: Organic chemistry: Biochemistry1
Medicine: Internal medicine: Special situations and conditions: Industrial medicine. Industrial hygiene1
Medicine: Public aspects of medicine1
Agriculture: Forestry1
Technology: Mechanical engineering and machinery: Control engineering systems. Automatic machinery (General)1
Technology: Technology (General): Industrial engineering. Management engineering: Automation1
Science: Mathematics: Probabilities. Mathematical statistics1
The category Agriculture: Plant culture 92 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Deep Learning Based Improved Classification System for Designing Tomato Harvesting Robot and was published in 2018. The most recent citation comes from a 2024 study titled LWDN: lightweight DenseNet model for plant disease diagnosis. This article reached its peak citation in 2022, with 97 citations. It has been cited in 142 different journals, 29% of which are open access. Among related journals, the Multimedia Tools and Applications 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