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Published Paper Details:
Paper Title
LeafWatch:Advanced Plant Disease Detection in Agriculture Using Image Processing
Authors
Tisu Kumari Singh, Peeyush pareek, Dr Arshiya A.F.A. Khan, Dr R.S.Deshpande
Keywords
Plant Disease Detection, Image Processing, Feature Extraction, Classification, Automated Agriculture
Abstract
Global food security is largely dependent on crop health, but plant diseases continue to pose a significant problem for farmers everywhere. Conventional methods of diagnosing chronic illnesses are frequently inaccurate and necessitate a significant investment of time, energy, and specialized knowledge.This project introduces LeafWatch, an intelligent and effective system that detects plant leaf diseases using image processing techniques. After taking pictures of the leaves, the system applies a number of processes, such as preprocessing (cleaning the image), segmentation (separating the leaf from the background), feature extraction (identifying the salient features), and classification algorithms to determine the disease.The findings demonstrate that LeafWatch is a useful tool for farmers since it can precisely identify common plant illnesses.
IJCRT's Publication Details
Unique Identification Number - IJCRT2506642
Paper ID - 289333
Page Number(s) - f520-f525
Pubished in - Volume 13 | Issue 6 | June 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Tisu Kumari Singh, Peeyush pareek, Dr Arshiya A.F.A. Khan, Dr R.S.Deshpande, "LeafWatch:Advanced Plant Disease Detection in Agriculture Using Image Processing", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 6, pp.f520-f525, June 2025, Available at :http://www.ijcrt.org/papers/IJCRT2506642.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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