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A new machine learning mango damage segmentation dataset and application models

2026-03-17

Abstract excerpt

<title>Abstract</title> <p>Mango fruit diseases significantly impact both market quality and yield. Early and accurate detection is of paramount importance for supporting farm and processing decisions. However, traditional manual inspection is typically slow, subjective, and error-prone. This research proposes a deep learning-based approach for segmenting diseased regions on mango fruits by comparing two popular...

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Literature Corpus work
4b024064-895f-597d-8eb8-969a60b1bf0e
DOI
10.21203/rs.3.rs-8903916/v1
Open publication

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A new machine learning mango damage segmentation dataset and application modelsDOI 10.21203/rs.3.rs-8903916/v1
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