Identifying Diseases In Mulberry Leaves That Affects Silk Production: A Deep Learning Approach

Duragkar, Himanshu Ashok (2023) Identifying Diseases In Mulberry Leaves That Affects Silk Production: A Deep Learning Approach. Masters thesis, Dublin, National College of Ireland.

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Abstract

In many places around the globe, sericulture is recognized as one of the most important segments of the agriculture industry, and it has achieved success. It is believed that the best species in the sericulture ecology is the mulberry. In order to boost output as much as possible, the use of pesticides and fertilizers was widespread, which negatively affected the condition of the land, air, and water and made it challenging to protect plants from a variety of pests and diseases. The use of image classification allows for this suggestion gives us a formula, tactics, and comprehensive detection of diseases in mulberry leaves using deep learning. This model is able to identify and find mulberry plant illnesses.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Ul Ain, Qurrat UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science S Agriculture > SB Plant culture Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	18 May 2023 12:59
Last Modified:	18 May 2023 12:59
URI:	https://norma.ncirl.ie/id/eprint/6586

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