Paper Contents
Abstract
Depending on the amount consumed daily, tomatoes are regarded as a well-cultivated and profitable crop. The tomato plants were infected by a number of viruses, with leaves being the main site of infection for the other plant components. The likelihood of a virus spreading to nearby plants in the field is very high. This will make it difficult to grow tomatoes. Farmers are looking for a useful technology or approach that can forecast the kind of illnesses and the virus that causes such illnesses. And that approach must give farmers instructions or advice for the appropriate insecticides to employ in order to stop virus infection. A website has been created that uses deep learning to identify tomato leaf disease and suggests the best pesticide using a database management system. Using a convolution neural network, nearly 10 distinct diseases that affected leaves were detected and categorized. The accuracy in diagnosing the disorders is between 94% and 98%.
Copyright
Copyright © 2023 MANOJ K. This is an open access article distributed under the Creative Commons Attribution License.
