ARCHIVES
VOL. 9, ISSUE 2 (2024)
Review on leaf disease detection using image processing techniques
Authors
Saumya Singh, Sumit Yadav, Motashim Rasool
Abstract
Agriculture is the lifeblood of Indian savings. In India, it is almost
seventieth in the crop growing sector. Nowadays, more than a few farmers along
with the agro center are facilitating the use of various new technologies to
increase agricultural production. Plants are becoming a very important supplier
of energy. Currently, there are many diseases that impact plants with the
potential to cause cost-effective and social losses. Plant disease recognition
is the key to preventing fatalities during storage and quantity of agricultural
product. The study of plant disease is the study of a visually observable
prototype seen on a plant. Monitoring plant health and detecting infection is
extremely important for sustainable agriculture. Image processing is therefore
used to search for plant diseases. Disease detection involves steps similar to
image segmentation and feature extraction as well as classification. This
article discusses a technique used to detect plant disease utilization using
images of their leaves. An overview of different foliar disease detection
technologies using an image processing approach with their classification based
on the type of analytical tool with applications. Approximately the prevailing
technologies new in the foliar disease detection system are seriously reviewed
and briefly discussed; comparison of the available approaches are investigated
with the presented ones. A key problem with problems in the detection of foliar
diseases is highlighted.
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Pages:20-23
How to cite this article:
Saumya Singh, Sumit Yadav, Motashim Rasool "Review on leaf disease detection using image processing techniques". International Journal of Advanced Scientific Research, Vol 9, Issue 2, 2024, Pages 20-23
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