International audienceThe application of modern non-destructive testing methods on grain quality testing had important implications for grain production, distribution and sale. In the paper, five test methods of modern electronic information technology, which were near-infrared spectroscopy, electronic nose, machine vision, magnetic resonance and acoustic vibrations, were described, the research progress of near-infrared spectroscopy, electronic nose technology and machine vision technology in grain quality nondestructive testing was reviewed with focuses. The application of modern non-destructive testing methods on grain quality testing could reduce costs and improve detection accuracy, furthermore, make it combined with modern computer technology and data processing, which would play an important role in agriculture
Starch and proteins are the vital nutrients in buckwheat, to achieve the fast detection of the buckwheat internal composition has an important theoretical significance and application value for buckwheat breeding, processing and other steps. In the paper, forty buckwheat samples from different origins have been selected. The starch and protein content of buckwheat was determined, and the mid-infrared transmission spectrum of buckwheat has been obtained using Fourier mid-infrared spectroscopy. Forty samples were randomly divided into the prediction set and validation set with 30 and 10 samples respectively. After smoothing preprocessing, the prediction models of buckwheat starch and protein content have been established using the combination method of principal component analysis and artificial neural network, finally the models have been verified. The results showed that the correlation coefficient between the prediction value and measurement value of buckwheat starch content is 0.9029, and the relative error is smaller and its mean value is 2.33%, the method of the buckwheat starch content prediction is feasible. But the prediction for buckwheat protein content is not ideal, need to be further studied.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.