Feasibility study for the surface prediction and mapping of phytonutrients in minimally processed rocket leaves (Diplotaxis tenuifolia) during storage by hyperspectral imaging
| Autor: | Maria Luisa Amodio, José Manuel Amigo, Maria Lucia Valeria de Chiara, Farahmand Babellahi, Giancarlo Colelli, Muahmmad M. A. Chaudhry |
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| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
business.product_category Pixel biology Near-infrared spectroscopy Hyperspectral imaging Forestry Diplotaxis tenuifolia 04 agricultural and veterinary sciences Horticulture Ascorbic acid biology.organism_classification 01 natural sciences Computer Science Applications Root mean square Rocket Partial least squares regression 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Biological system business Agronomy and Crop Science 010606 plant biology & botany Mathematics |
| Zdroj: | Computers and Electronics in Agriculture. 175:105575 |
| ISSN: | 0168-1699 |
| DOI: | 10.1016/j.compag.2020.105575 |
| Popis: | A comprehensive study of the feasibility of hyperspectral imaging in visible (400–1000 nm) and near infrared (900–1700 nm) regions was investigated for prediction and concentration mapping of Vitamin C, ascorbic acid (AA), dehydroascorbic acid (DHAA) and phenols in wild rocket (Diplotaxis tenuifolia) over a storage span of 12 days at 5 °C. Partial least squares regression (PLSR) with different data pretreatments and wavelength selection resulted in satisfactory predictions for all parameters in the NIR range except DHAA. Prediction models were used for concentration mapping to follow changes over time. The prediction maps will be comprehensively study to assess the pixel to pixel variation within the rocket leaves. The PLSR models for Vitamin C, AA and phenols yielded an R2 of 0.76, 0.73 and 0.78, respectively in external prediction with root mean square errors approximately equivalent to those of reference analysis. Conclusively, hyperspectral imaging, with the correct mapping approach, can be a useful tool for the prediction and mapping of phytonutrients in wild rocket (Diplotaxis tenuifolia) over time. |
| Databáze: | OpenAIRE |
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