Leaf Disease Detection Using Digital Image Processing and Python

Auteurs

  • B. Mano Assistant Professor, Department of Agriculture Engineering, Paavai Engineering College, Namakkal-637018, India https://orcid.org/0009-0006-2996-8500
  • S. Gowtham Kumar Assistant Professor, Department of Food Technology, Paavai Engineering College, Namakkal-637018, India
  • R. Vignesh UG Student, Department of Agriculture Engineering, Paavai Engineering College, Namakkal-637018, India

Mots-clés :

Crop monitoring, Disease detection, Image processing, Precision agriculture

Résumé

In India, 70% of its people are in the Agriculture sector. The remaining 30% of people are an inseparable part of this field. Because from agriculture, we get various raw materials and especially crops, which serve as a staple food for people. But the crops and plantations get destroyed mainly due to two major reasons, first reason is destruction by natural calamities such as drought, famine, etc. and second reason is the destruction by the pathogens. 98% of the destruction is caused by the pathogens. The traditional methods were inaccurate and not effective. So various researches in this field lead to inclusion of image processing for accurate detection of disease by using plant leaf. Various spots, patterns on plant leaf are useful in detecting the disease. Further advancement was use of digital image processing for more accurate results.

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Références

SG Shiva prasad Yadav, Rohan Reddy N, Dharun D, Niveditha A, Hema N, et al., (2021) , “Crop Yield Prediction Using Image Processing ”.

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Publiée

2024-11-25

Numéro

Rubrique

Articles

Comment citer

Mano, B., Kumar, S. G., & Vignesh, R. (2024). Leaf Disease Detection Using Digital Image Processing and Python. International Journal of Innovative Scientific Research, 2(4), 101-109. https://ijisr.net/ijisr/article/view/31

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