Estimating bulk density in leguminous grains with different traits using color parameters from digital images combined with artificial neural networks
Dry grains from leguminous species, such as soybeans (Glycine max L.), common beans (Phaseolus vulgaris L.), chickpeas (Cicer arietinum L.) and corn (Zea mays L.), are regularly consumed for human nutrition. This paper showed the possibility of estimating bulk density as quality parameter of 4 diffe...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade Estadual Paulista
2020-01-01
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| Series: | Eclética Química |
| Online Access: | https://revista.iq.unesp.br/ojs/index.php/ecletica/article/view/1009 |