Banana Plant Disease Classification Using Hybrid Convolutional Neural Network

Autor:	K. Lakshmi Narayanan, R. Santhana Krishnan, Y. Harold Robinson, E. Golden Julie, S. Vimal, V. Saravanan, M. Kaliappan
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	General Computer Science Article Subject General Mathematics General Neuroscience India food and beverages Musa General Medicine Neural Networks Computer Plant Diseases
Zdroj:	Computational Intelligence and Neuroscience.
ISSN:	1687-5265
DOI:	10.1155/2022/9153699
Popis:	Banana cultivation is one of the main agricultural elements in India, while the common problem of cultivation is that the crop has been influenced by several diseases, while the pest indications have been needed for discovering the infections initially for avoiding the financial loss to the farmers. This problem will affect the entire banana productivity and directly affects the economy of the country. A hybrid convolution neural network (CNN) enabled banana disease detection, and the classification is proposed to overcome these issues guide the farmers through enabling fertilizers that have to be utilized for avoiding the disease in the initial stages, and the proposed technique shows 99% of accuracy that is compared with the related deep learning techniques.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cad714b50e0da0f42b3bd45770956df1 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.