REVIEW ON THE TECHNIQUES USED FOR IDENTIFICATION OF DISEASED LEAVES

Article Properties
Cite
LAVANYA, B. KOPPAL, and T. M. RAJESH. “REVIEW ON THE TECHNIQUES USED FOR IDENTIFICATION OF DISEASED LEAVES”. I-manager’s Journal on Pattern Recognition, vol. 7, no. 1, 2020, p. 32, https://doi.org/10.26634/jpr.7.1.17375.
LAVANYA, B. K., & RAJESH, T. M. (2020). REVIEW ON THE TECHNIQUES USED FOR IDENTIFICATION OF DISEASED LEAVES. I-manager’s Journal on Pattern Recognition, 7(1), 32. https://doi.org/10.26634/jpr.7.1.17375
LAVANYA, B. KOPPAL, and T. M. RAJESH. “REVIEW ON THE TECHNIQUES USED FOR IDENTIFICATION OF DISEASED LEAVES”. I-manager’s Journal on Pattern Recognition 7, no. 1 (2020): 32. https://doi.org/10.26634/jpr.7.1.17375.
1.
LAVANYA BK, RAJESH TM. REVIEW ON THE TECHNIQUES USED FOR IDENTIFICATION OF DISEASED LEAVES. i-manager’s Journal on Pattern Recognition. 2020;7(1):32.
Refrences
Title Journal Journal Categories Citations Publication Date
Identification of grape diseases using image analysis and BP neural networks 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
47 2019
10.1109/PERVASIVE.2015.7086983
Recognition and classification of paddy leaf diseases using Optimized Deep Neural network with Jaya algorithm Information Processing in Agriculture
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Agriculture: Agriculture (General)
93 2020
10.1109/ICACSIS.2013.6761609
Development of spectral indices for detecting and identifying plant diseases Remote Sensing of Environment
  • Geography. Anthropology. Recreation: Environmental sciences
  • Geography. Anthropology. Recreation: Geography (General)
  • Technology: Photography
  • Science: Geology
  • Science: Geology
347 2013