INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
: Farming supplies food for all humans,
especially in times of rapid growing populations. This is
advised that illnesses of plants be predicted at the
earliest stages in this field of farming in order to provide
food to the whole population. However, it is difficult to
forecast illnesses in the initial phases of plant growth.
The purpose of this study is to educate farmers about
cutting-edge technology for reducing illnesses in plant
leaves. Tomato is a common vegetable, techniques based
on image processing and machine learning along with a
reliable algorithm have been found to identify leaf
illnesses in tomato plants. Defective tomato leaf samples
are considered in this study. These pathological samples
taken from tomato leaves allow farmers to identify
diseases based on early signs. First, the tomato leaf
sample is scaled down to his 256x256 pixels. Histogram
equalization is then performed to improve sample
quality. Clustering with K-Means is used to divide the
data space into voronoi cells. Edge tracking is used to
determine the bounds of the sheet collection. Several
classifiers such as discrete wavelet transform, principal
component analysis, and grayscale co-occurrence matrix
are used to determine important characteristics of leaf
data. Finally, the derived features are classified using
Convolutional Neural Networks (CNN) with tomato leaf
disease detection dataset from kaggle with 92%
accuracy
"Leaf Disease DEtection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.c463-c469, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306248.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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