Journal ArticleOpen Access
A deep learning model for cotton disease prediction using fine-tuning with smart web application in agriculture
Author Affiliations
Jagannath University, Jatiya Kabi Kazi Nazrul Islam University, Begum Rokeya University
Published InIntelligent Systems with Applications
Year2023
Citations71
Abstract
Cotton is known as ‘white gold’ in the agricultural industry. Agriculture is the primary source of economic income in Bangladesh and the country's economy is heavily dependent on agriculture. The soil and water resources of our country are fertile and the climate is moderate. But numerous diseases affect crop production and cause enormous crop losses, endangering the lives of helpless farmers. A previous report showed that about 70–80% of cotton diseases were leaf diseases and 30–20% were pest diseases. Experts typically use bare eyes to find and identify such plant diseases and pests which may result from lower accuracy of the identification. As a result, early detection of cotton disease using AI-based systems may help to increase the production of…
View at Publisher
BORR does not host full-text PDFs. The button above takes you to the original publisher.