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Article

Innovative Leaf Disease Mapping: Unsupervised Anomaly Detection for Precise Area Estimation

2024-08-21

Abstract excerpt

<title>Abstract</title> <p>Detecting and quantifying the diseased regions in a leaf is an important task in plant breeding in order to select plants based on disease resistance. Ratings done by eye and hand are not accurate, can be highly subjective and take a lot of work hours. Using machine learning, it is possible to generate faster more accurate data. By combining modern anomaly detection algorithms with mask...

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Literature Corpus work
e4294dfe-8e74-5a73-876f-504435d49709
DOI
10.21203/rs.3.rs-4797098/v1
Open publication

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Innovative Leaf Disease Mapping: Unsupervised Anomaly Detection for Precise Area EstimationDOI 10.21203/rs.3.rs-4797098/v1
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