• Halaswamy B M

Abstract: Disease identification in plants is the major work in a nation. Agricultural production plays very important role in nation economy and it also important for the nation improvement. Diseases or infection in the plants leaves can cause the minimum crop yield and due to this farmers effort gets down and also it affects the nation economy and livelihood. Dynamic feature scaling technique and an image processing technique is introduced in this paper which differentiates leaves diseases in plants and categorizes them by utilizing Naïve Bayes classifier. Feature scaling technique like Min-Max scaling, Z-score normalization technique etc. are utilized for scaling factors normalization. Equal weights are assigned to all the features in Scaling technique, which might result in a non-ideal cases. This paper introduces another strategy with allocate weights to each and every feature with the assistance of out of bag errors acquired from developing different decision tree models.

Disease, Plant Leaf, Image processing, Agriculture, Machine Learning

"PLANT LEAF DISEASE PREDICTION USING IMAGE PRE-PROCESSING AND DYNAMIC FEATURE SCALING FOR NAIVE BAYES CLASSIFIER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.1-5, January-2019, Available :http://www.jetir.org/papers/JETIR1901I01.pdf

"PLANT LEAF DISEASE PREDICTION USING IMAGE PRE-PROCESSING AND DYNAMIC FEATURE SCALING FOR NAIVE BAYES CLASSIFIER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp1-5, January-2019, Available at : http://www.jetir.org/papers/JETIR1901I01.pdf