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Interactive Deep Learning for Shelf Life Prediction of Muskmelons Based on an Active Learning Approach
A pivotal topic in agriculture and food monitoring is the assessment of the quality and ripeness of agricultural products by using non-destructive testing techniques. Acoustic testing offers a rapid in situ analysis of the state of the agricultural good, obtaining global information of its interior....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780071/ https://www.ncbi.nlm.nih.gov/pubmed/35062374 http://dx.doi.org/10.3390/s22020414 |