Exploring the efficiency of transfer learning in Brinjal disease detection using deep learning

dc.contributor.authorHasan, MD. Zahid
dc.date.accessioned2025-08-30T04:50:40Z
dc.date.available2025-08-30T04:50:40Z
dc.date.issued2024-09-01
dc.descriptionThesis
dc.description.abstractAbout 75% of the people in Asian countries rely on agriculture for their livelihood. Bangladesh is a country highly dependent on agriculture [1]. About 45.33% of the population of the country was engaged in the agriculture sector in the fiscal year 2022–2023 [2]. And same sector contributed approximately 11.38% to the Gross Domestic Product of the nation [3]. Grown over 50,000 hectares of land, eggplant, or brinjal, is the third most important crop in the nation [4]. This vegetable is very beneficial to health as it aids in better digestion and increases mental performance. It is also known to prevent one from catching cancer, protects heart health, and also supports the bones in one's body. Antioxidants, including vitamins A and C, which protect cells from damage, are very much present in brinjal. It has a high concentration of polyphenols, which are chemical molecules that help control how sugar is metabolized in diabetic cells
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14114
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14114
dc.publisherDAFFODIL INTERNATIONAL UNIVERSITY
dc.sourceDIU Institutional Repository
dc.subjectTransfer Learning
dc.subjectDeep Learning
dc.subjectBrinjal Disease Detection
dc.subjectConvolutional Neural Networks (CNNs)
dc.subjectPlant Pathology
dc.titleExploring the efficiency of transfer learning in Brinjal disease detection using deep learning
dc.typeThesis

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