Open AccessDiagnosis of Leaf Disease in Cucurbita Gourd Family using Machine Learning Algorithms
Author(s) -
V. Nirmala*,
B. Gomathy
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c5232.098319
Subject(s) - powdery mildew , blight , machine learning , cucurbita , artificial intelligence , vine , support vector machine , statistical learning , computer science , algorithm , horticulture , biology
PaperThe paper presents the implementation of various machines learning approach for the diagnosis of leaf diseases. For analysis data collection were done towards capturing the images of pumpkin leaf affected by different diseases. The pumpkin leaf samples were taken. The samples correspond to the blight and fungal problems like Alternaria, Powdery Mildew Anthracnose, and Yellow Vine Disease etc. The methods for analysis were implemented and tested which are based on time, frequency and statistical approach. For classification machine learning approaches like neural networks, SVM, KNN etc were analyzed. The implementation issues were presented for future work.