Journal ArticleOpen Access
An in-depth exploration of automated jackfruit disease recognition
Author Affiliations
Jahangirnagar University, Daffodil International University, Independent University
Published InJournal of King Saud University - Computer and Information Sciences
Year2020
Citations55
Abstract
Bangladesh extensively depends on agriculture for the economy as well as food security owing to its huge population. In this connection, it becomes very important to efficiently grow plants and increase their yields. Quantity and quality of fruits can be degraded having attacked by various diseases. It is a matter of fact that not even a single research work has been conducted for automated recognition of jackfruit diseases to facilitate those distant farmers who need proper cultivation support. Presuming that our context is the recognition of jackfruit diseases, two challenging problems are mainly raised, i.e. detection of diseases and classification of diseases. In this research, we perform an in-depth investigation of an agro-medical expert system, which proceeds with a digital…
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