Article
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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Identifiers and source
- Literature Corpus work
- 4b024064-895f-597d-8eb8-969a60b1bf0e
- DOI
- 10.21203/rs.3.rs-8903916/v1
