Abstract
Rice grain moisture has a great impact on th production and storage storage quality of rice. The main objective of this study was to design and develop a rapid-detection sensor for rice grain moisture based on the Near-infrared spectroscopy (NIR) characteristic band, aiming to realize its accurate and on-line measurement. In this paper, the NIR spectral information of grain samples with different moisture content was obtained using a portable NIR spectrometer. Then, the partial least squares (PLS) and competitive adaptive reweighted squares (CARS) were applied to model and analyze the spectral data to find the rice grain moisture NIR spectroscopy. As a result, the 1450 nm band was sensitive to the rice grain moisture and a rapid-detection sensor was developed with a 1450 nm light emitting diode (LED) light source, InGaAs photodiode, lens and filter, whose basic principle is to establish the relationship between the rice grain moisture and the measured voltage signal. To evaluate the sensor performance, rice grain samples with 13–30% moisture content were detected, the coefficient of determination R2 was 0.936, and the sum of squares for error (SSE) was 23.44. It is concluded that this study provides a spectroscopic measuring method, as well as developing an effective and accurate sensor for the rapid determination of rice grain moisture, which is of great significance for monitoring the quality of rice grain during its production, transportation and storage process.
Highlights
Rice is a staple cereal crop in many countries, and quality assessment and process control is very important for rice grain due to the production seasonality and the huge demand [1,2]
The results suggested that protein content could be successfully estimated (R = 0.990 for multiple linear regression (MLR), R = 0.987 for partial least squares (PLS), while carbohydrate (R = 0.801 for MLR, R = 0.755 for PLS), oil (R = 0.823 for MLR, R = 0.723 for PLS)
The main objective of this paper is to present a moisture detection method for rice grain based on Near-infrared spectroscopy (NIR) spectroscopy characteristic band, as well as to design and develop a rapid-detection sensor based on a single-band 1450 nm
Summary
Rice is a staple cereal crop in many countries, and quality assessment and process control is very important for rice grain due to the production seasonality and the huge demand [1,2]. The variation of moisture level affects the content of starch, fat and protein, and affects the quality of rice grain to a certain extent [3,4,5]. It is an indispensable prerequisite for safe crop storage to determine the rice grain moisture accurately and quickly. The method for determining moisture content can be divided into direct methods and indirect methods. Direct methods, represented by the oven-drying method, are often used as the standard to evaluate the precision of indirect methods
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