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Citrus Leaf Disease Classification Using Different Deep Learning Models: A Survey of Southern part of Bangladesh

Author Affiliations
Khulna University of Engineering and Technology, Daffodil International University, Noakhali Science and Technology University
Year2024

Abstract

Citrus plant cultivation is becoming increasingly popular in South Asia, more specifically in India and Bangladesh region due to its rapidly growing demand as well as suitable weather conditions for farming. It can be affected by several diseases and requires keen attention to detect and cure the diseases in time; otherwise, significant monetary loss is incurred. With the advancement of computer vision and deep learning techniques, identifying various diseases is becoming simpler. However, this process requires a proper dataset of infected leaves and a suitable detector to recognize the diseases, and the existing renowned citrus disease datasets are based on a particular zone that may not be like the actual data that apply to the Barishal region. Therefore, a new…
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