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Implementation of Disease Detection in Fruits using Neural Networks

    Authors

    • Vamsi Krishna M 1
    • Harish G 2
    • Sneha N 1
    • Harsha Vardhan Rao K 1
    • Sai Mounika K 1

    1 Department of Electronics and Communication Engineering, Vignan’s Lara Institute of Technology and Science Guntur, India.

    2 Assistant Professor, Department of Electronics and Communication Engineering, Vignan’s Lara Institute of Technology and Science Guntur, India.

,

Document Type : Research Article

10.47392/irjash.2023.S008
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Abstract

Commercialized agricultural operations are always looking for ways to reduce labour requirements without compromising output. Images of a few differ- ent fruit diseases, including Bitter Rot, and Sooty Blotch are employed in this method. Fruit infections’ ability to lower productivity and the global economy in the agricultural sector is a frustrating situation. In actuality, a healthy diet should be built around fruits. India has a population that is approximately 68 per cent dependent on agriculture. A significant percentage of the Indian econ- omy is based on agriculture. Fruit cultivation has been a vital part of agricul- ture all over the world and has been the foundation of rural economies. Moni- toring a plant’s health and spotting illness manually is challenging. Agribusi- ness is a major contributor to the global economy, but its growth is slowing when compared to the rise in interest, and this ratio of interest to creation is expected to maintain high in the next few generations.

Keywords

  • CNN
  • Preprocessing
  • Segmentation
  • Feature extraction
  • Classifiers
  • XML
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  • 31_iCOMPUTER2023__Harish_Gollaproludocx-2023-06-15-06-29.pdf
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    • Article View: 207
    • PDF Download: 133
International Research Journal on Advanced Science Hub
Volume 5, Issue 05S - Issue Serial Number 5
May 2023
Page 60-66
Files
  • XML
  • PDF 3.41 M
  • Supplementary File
  • 31_iCOMPUTER2023__Harish_Gollaproludocx-2023-06-15-06-29.pdf
History
  • Receive Date: 23 February 2023
  • Revise Date: 06 March 2023
  • Accept Date: 12 March 2023
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  • Article View: 207
  • PDF Download: 133

APA

M, V. K. , G, H. , N, S. , K, H. V. R. and K, S. M. (2023). Implementation of Disease Detection in Fruits using Neural Networks. International Research Journal on Advanced Science Hub, 5(Issue 05S), 60-66. doi: 10.47392/irjash.2023.S008

MLA

M, V. K. , , G, H. , , N, S. , , K, H. V. R. , and K, S. M. . "Implementation of Disease Detection in Fruits using Neural Networks", International Research Journal on Advanced Science Hub, 5, Issue 05S, 2023, 60-66. doi: 10.47392/irjash.2023.S008

HARVARD

M, V. K., G, H., N, S., K, H. V. R., K, S. M. (2023). 'Implementation of Disease Detection in Fruits using Neural Networks', International Research Journal on Advanced Science Hub, 5(Issue 05S), pp. 60-66. doi: 10.47392/irjash.2023.S008

CHICAGO

V. K. M , H. G , S. N , H. V. R. K and S. M. K, "Implementation of Disease Detection in Fruits using Neural Networks," International Research Journal on Advanced Science Hub, 5 Issue 05S (2023): 60-66, doi: 10.47392/irjash.2023.S008

VANCOUVER

M, V. K., G, H., N, S., K, H. V. R., K, S. M. Implementation of Disease Detection in Fruits using Neural Networks. International Research Journal on Advanced Science Hub, 2023; 5(Issue 05S): 60-66. doi: 10.47392/irjash.2023.S008

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