DATA DESCRIPTOR
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doi:10.20944/preprints202304.0557.v1
Subject:
Computer Science And Mathematics,
Artificial Intelligence And Machine Learning
Keywords:
wheat grain; sunn pest; wheat species; seed quality; eurygaster; wheat species classification; sunn pest detection; wheat grain segmentation; deep learning; machine learning
Online: 19 April 2023 (07:20:56 CEST)