The ability to quickly and non-destructively monitor the cadmium (Cd) content in agricultural crops is basic premise of effective prevention control Cd contamination products. Hyperspectral technology provides a solution for this issue. potential capability spectral prediction leaves pepper eggplant field was explored, model these established. In study, based on indoor spectrum, sensitive waveb...

15 Field-based plant phenomics requires robust crop sensing platforms and data analysis tools to successfully identify cultivars that exhibit phenotypes with high agronomic and economic importance. Such efforts will lead to genetic improvements that maintain high crop yield with concomitant tolerance to environmental stresses. The objectives of this study were to investigate proximal hyperspect...

It is difficult to build an accurate model to predict the dynamic error of CMM by analyzing error sources. An innovative modeling method based on Variance Analysis and Improved Partial Least-square regression (IPLSR) is proposed to avoid analyzing the interaction of error sources and to overcome the multi-collinearity of Ordinary Least-square regression (OLSR). Among many impact factors the mos...

Although crop-growth monitoring is important for agricultural managers, it has always been a difficult research topic. However, unmanned aerial vehicles (UAVs) equipped with RGB and hyperspectral cameras can now acquire high-resolution remote-sensing images, which facilitates accelerates such monitoring. To explore the effect of single indicator multiple indicators, this study combines six grow...

The successful estimation of soil organic matter (SOM) and total nitrogen (TN) contents with mid-infrared (MIR) reflectance spectroscopy depends on selecting appropriate variable selection techniques multivariate methods for regression analysis. This study aimed to explore the potential combining a method spectral SOM TN using MIR spectroscopy. Five hundred ten topsoil samples were collected fr...

Aboveground biomass (AGB) is an important indicator to evaluate crop growth, which closely related yield and plays role in guiding fine agricultural management. Compared with traditional AGB measurements, unmanned aerial vehicle (UAV) hyperspectral remote sensing technology has the advantages of being non-destructive, highly mobile, efficient precision agriculture. Therefore, this study uses a ...

Non-intrusive load monitoring takes place in residential and industrial contexts to disaggregate identify loads connected a distribution grid. This work studies the applicability effectiveness for AC railways, considering highly dynamic behavior of rolling stock as an electric load, immersed varying moving loads. Both voltage–current diagrams harmonic spectra were considered identification extr...

This study aims to investigate the near-infrared spectral properties of Rose Oxide (4-Methyl-2-(2-methyl-1-propenyl) tetrahydropyran) in wine, establish a quantitative detection, and build relationships between chemical groups characteristic bands, so as provide ideas references for detection low-content aroma substance wine. In total, 133 samples with different wine matrices were analyzed usin...