Abstract
Digital farming is a modern agricultural concept that aims to maximize the crop yield while simultaneously minimizing the environmental impact of farming. Successful implementation of digital farming requires development of sensors to detect and identify diseases and abiotic stresses in plants, as well as to probe the nutrient content of seeds and identify plant varieties. Experimental evidence of the suitability of Raman spectroscopy (RS) for confirmatory diagnostics of plant diseases was previously provided by our team and other research groups. In this study, we investigate the potential use of RS as a label-free, non-invasive and non-destructive analytical technique for the fast and accurate identification of nutrient components in the grains from 15 different rice genotypes. We demonstrate that spectroscopic analysis of intact rice seeds provides the accurate rice variety identification in ~86% of samples. These results suggest that RS can be used for fully automated, fast and accurate identification of seeds nutrient components.
Highlights
Digital agriculture is an emerging paradigm that aims to maximize crop yields while simultaneously minimizing the environmental impact of farming
This information can be used for site- and dose-specific applications of fungicides and pesticides to cease the proliferation of pathogens and minimize crop losses associated with plant diseases
Traditional wet lab methods take a long time to get the nutritional data of a germplasm or breeding population, Raman spectroscopy (RS) could be a good alternative for screening the germplasm or breeding population quickly, helping the breeder in selection for crop improvement
Summary
Digital agriculture is an emerging paradigm that aims to maximize crop yields while simultaneously minimizing the environmental impact of farming. Raman spectroscopy (RS) is an analytical technique that can be used to detect plant biotic and abiotic stresses, as well as to identify plant varieties and probe their nutritional content [7,8,9]. Experimental results reported by the our group [10,11,13,14,15,16,17,18,19,20] and other research laboratories [12,21,22,23,24] show that hand-held Raman spectrometers could be used for fast (one second spectral acquisition time) and nearly 100% accurate diagnostics of biotic and abiotic stresses [10,11,13,16,19,20,25].
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