DIGITAL DEVICES FOR GRAIN CLASSIFICATION: EFFICIENCY AND ACCURACY IN THE FOOD INDUSTRY
ABSTRACT The grain classification process, essential in the industry, has traditionally relied on manual methods that are prone to inaccuracies and delays. The introduction of computer vision has revolutionized this scenario, enabling faster and more precise analyses. This study evaluated a digital...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sociedade Brasileira de Engenharia Agrícola
2025-05-01
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| Series: | Engenharia Agrícola |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162025001000307&lng=en&tlng=en |
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