Soil samples were collected from five provinces over China, including Beijing, Xinjiang, Heilongjiang, Yunnan, and Jiangsu. Heavy metal Cr, Zn, Pb and As in soils were analyzed by a portable X-ray fluorescence spectrometry (XRF). For predicating metal concentration in soils, a partial least square regression model (PLSR) was established. After cross-calibration, the correlation coefficients for...

The development and provision of soil spectral library (SSL) could facilitate the application near infrared (NIR) spectroscopy for economical, accurate, efficient determination organic matter (SOM). In this work, performances partial least squares regression (PLSR) convolutional neural network (CNN) combined with datasets Zhejiang provincial SSL (ZSSL) feature subset (FS) were compared predic...

Multivariate statistics are commonly used to identify the factors that control the dynamics of runoff or sediment yields during hydrological processes. However, one issue with the use of conventional statistical methods to address relationships between variables and runoff or sediment yield is multicollinearity. The main objectives of this study were to apply a method for effectively identifyin...

As consumers’ preference for sweetness in food products is increasing, most agricultural product processing complexes currently operate sugar-screening machines. However, every season, the entire prediction models have to be modified fit fruit species cultivated that season using a long-drawn process, because separate are required each species. Therefore, this study, species-integrated were exa...

Earth's future carbon balance and regional carbon exchange dynamics are inextricably linked to plant photosynthesis. Spectral vegetation indices are widely used as proxies for vegetation greenness and to estimate state variables such as vegetation cover and leaf area index. However, the capacity of green leaves to take up carbon can change throughout the season. We quantify photosynthetic capac...

The paper presents a new data processing method for sensor array based pattern recognition problem. The primary motivation is to improve the odor recognition efficiency of electronic nose systems. The method creates a set of virtual experts in which individual expert members are defined by a different combination of a feature extractor and a radial basis function (RBF) neural network classifier...

Unlike standard chemical analysis methods involving time-consuming, labor-intensive, and invasive pretreatment procedures, Raman hyperspectral imaging (HSI) can rapidly non-destructively detect components without professional supervision. Generally, the Kjeldahl Soxhlet extraction are used to chemically determine protein lipid content of soybeans. This study is aimed at developing a high-perfor...