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Carolina Cadena 2016. Detecting Fungal Infections in Almonds. protocols.io dx.doi.org/10.17504/protocols.io.etnbemeCopy Citation Copied
URL: https://dx.doi.org/10.17504/protocols.io.etnbeme
Authors: Carolina Cadena
Group: VERVE Net
Summary: This protocol is based on the study done by two members of the Biological and Agricultural Engineering department at UC Davis which analyzes the ability of infrared spectroscopy to detect fungal infections in almonds. The methods section of this article was adapted to fit the protocols.io format. Source: “Detection of fungal infection in almond kernels using near-infrared reflectance spectroscopy”. Pei-Shih Liang, David C. Slaughter, Alejandro Ortega-Beltran, Themis J. Michailides. Biosystems Engineering, Volume 137, September 2015, Pages 64–72
Version: 1
Publication Date: 2016
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Source: Protocols.io
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