… However, disease prediction using classification … plant leaf diseases detection using
different classification algorithms are reviewed and compared. The classification of various plant …

… VGG-19) in terms of citrus plant disease detection. The disease classification accuracy (CA)
we … better than that of ML methods in case of disease detection as follows: RF-76.8% > SGD-…

… In this paper, a tomato leaf diseases detection and classification method is presented based
on Convolutional Neural Network with Learning Vector Quantization algorithm. The dataset …

… In this paper, the automated plant leaf disease detection system is performed by five
main steps: image acquisition, image preprocessing, segmentation, feature extraction and …

… In this paper I have defined the techniques to detect the diseases in the leaf of the plant by
… “Detection of plant leaf Diseases using image segmentation and soft computing techniques." …

… detection of plant leaf is major goal to cure this disease so in this paper the major issue in
brinjal plant … these techniques are further used to detect and for the recognize the leaf disease …

… the automatic identification of plant leaf diseases have been … CNNs to automatically identify
plant leaf diseases. We describe … of different types of the disease occur in plants, its causes, …

… detect the leaf diseases in the tomato plant. In this investigation, the samples of tomato leaves
… an algorithm based on ML and IP tools to automatically detect leaf diseases is proposed. …

… on the plant leaf disease detection based on the texture of the leaf. Leaf presents several …
part includes importance of leaf disease detection, plant leaves analysis, various types of …

… types of diseases which are found in plant leaf and also to study and analyze different techniques
for plant leaf disease detection … for plant leaf disease detection using machine learning. …