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Identification of Defective Maize Seeds Using Hyperspectral Imaging Combined with Deep Learning
Seed quality affects crop yield and the quality of agricultural products, and traditional identification methods are time-consuming, complex, and irreversibly destructive. This study aims to establish a fast, non-destructive, and effective approach for defect detection in maize seeds based on hypers...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818215/ https://www.ncbi.nlm.nih.gov/pubmed/36613360 http://dx.doi.org/10.3390/foods12010144 |