Open AccessLeaf Disease Detection of SoyBean Plant using Machine Learning Algorithms
Author(s) -
Mrs.M. Sowmiya*,
Mrs.C. Thilagavathi
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c8630.019320
Subject(s) - machine learning , computer science , algorithm , food chain , field (mathematics) , artificial intelligence , agriculture , set (abstract data type) , sample (material) , biological data , plant disease , mathematics , microbiology and biotechnology , biology , ecology , bioinformatics , chemistry , chromatography , pure mathematics , programming language
Nature is an important phenomenon of this physical world. This nature includes plants, trees, animal, humans and several other organisms. Amongst them plants are the most important organisms in the world. They are specialist of creating their food by themselves and also they are the notable components in food chain. They also serve the nature and its organisms in a tremendous way. Hence it is necessary to protect our nature in an efficient manner so as to maintain the food chain. Our technology development has given much advancement in the field of agriculture. This paper deals with the analysis of various machine learning algorithms, by applying the algorithms on the plant data set. Sample sizes of collected data set are used to train the algorithm and the results are evaluated accordingly to estimate the better implementation of machine learning algorithm.