Abstract
The sprouting of potato tubers during storage is a significant problem that suppresses obtaining high quality seeds or fried products. In this study, the potential of fusing data obtained from visible (VIS)/near-infrared (NIR) spectroscopic and hyperspectral imaging systems was investigated, to improve the prediction of primordial leaf count as a significant sign for tubers sprouting. Electronic and lab measurements were conducted on whole tubers of Frito Lay 1879 (FL1879) and Russet Norkotah (R.Norkotah) potato cultivars. The interval partial least squares (IPLS) technique was adopted to extract the most effective wavelengths for both systems. Linear regression was utilized using partial least squares regression (PLSR), and the best calibration model was chosen using four-fold cross-validation. Then the prediction models were obtained using separate test data sets. Prediction results were enhanced compared with those obtained from individual systems’ models. The values of the correlation coefficient (the ratio between performance to deviation, or r(RPD)) were 0.95(3.01) and 0.9s6(3.55) for FL1879 and R.Norkotah, respectively, which represented a feasible improvement by 6.7%(35.6%) and 24.7%(136.7%) for FL1879 and R.Norkotah, respectively. The proposed study shows the possibility of building a rapid, noninvasive, and accurate system or device that requires minimal or no sample preparation to track the sprouting activity of stored potato tubers.
Highlights
Recent studies have shown various health-promoting nutritional resources in potato tubers including protein, dietary fibers, minerals, ascorbic acids, anthocyanins, and antioxidants
The number of selected wavelengths obtained from the hyperspectral imaging for R.Norkotah was higher than those obtained from the interactance system, except for W = 2, at which a similar number of wavelengths was selected for both electronic systems
The main objective of this research study was to investigate the potential of utilizing fused data from VIS/NIR spectroscopic and VIS/NIR hyperspectral imaging systems on predicting primordial leaf count of potatoes
Summary
Recent studies have shown various health-promoting nutritional resources in potato tubers including protein, dietary fibers, minerals, ascorbic acids, anthocyanins, and antioxidants. Phenolic compounds, contained in the tuber or the peel, are known for their anti-inflammatory and anticarcinogenic effects on human health [1]. Due to the rapid change of lifestyles towards fast food and ready-to-cook meals, the consumption of potatoes in the United States, especially frozen French fries and chips, has shown a significant increase during the last four decades [2]. French fry consumption jumped from 12.93 Kg in 1970 to 22.89 Kg in 2017 [2]. Maintaining the appropriate degree of tuber quality during handling and storage operations is a major concern for growers and processors, to preserve a high level of marketability. Storage significantly affects the chemical composition of tubers and subsequent processed products. As other agricultural commodities, continue to perform several postharvest
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