Prediction of sweetness and amino acid content in soybean crops from hyperspectral imagery
By Sildomar Takahashi Monteiro, Yohei Minekawa, Yukio Kosugi, Tsuneya Akazawa, Kunio Oda. 2007
108 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Biomedical Engineering, Ecology
View Paper: https://www.semanticscholar.org/paper/9f61736b4b7e1f873fc37b0980d0767bb27cfdae
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In Analytical Chemistry
In Biomedical Engineering
In Ecology
Citations in the corpus
- Application of Visible Hyperspectral Imaging for Prediction of Springiness of Fresh Chicken Meat (2015, methodology): “these features, multilayer perceptron is widely used to solve complex problems such as quality classification and prediction of quality attributes (Monteiro et al. 2007; ElMasry et al. 2009; Siripatrawan et al. 2011).”
- Hyperspectral imaging for the investigation of quality deterioration in sliced mushrooms (Agaricus bisporus) during storage (2008, background): “It was originally developed for remote sensing applications [1] but has since found application in such diverse fields as astronomy [2, 3], agriculture [4–6], pharmaceuticals [7–9], food [10–12] and medicine [13–15].”
- Recycling of plastic solid waste: A state of art review and future applications (2017, unknown): “This technology was originally developed for remote sensing applications [50] but later it found application in the field of astronomy [57,139], agriculture [86,119,134], pharmaceuticals [78,102]; [103], medicine [41,52,68,149], recycling sector [111] for various waste materials [21,22], compost pro”
- Use of Hyperspectral Imaging to Discriminate the Variety and Quality of Rice (2015, background): “spectral requirements and thus has been applied for quality inspection, classification and evaluation of a wide range of agri-food products (Monteiro et al. 2007; Nakariyakul and Casasent 2011; Kamruzzaman et al. 2011).”