Near-Infrared Spectroscopy is a cost-effective and environmentally friendly technique that could represent an alternative to conventional soil analysis methods, including total organic carbon (TOC). Soil fertility and quality are usually measured by traditional methods that involve the use of hazardous and strong chemicals. The effects of physical soil characteristics, such as moisture content ...

Comparative wood anatomy is the most accepted (traditional) method for identification. However, there an ongoing search effective where traditional methods may be insufficient in distinguishing on species level. Near-infrared spectroscopy (NIRS) one of developing data Scots pine, black sessile oak and Hungarian were collected examined spectral range 12,000–4000 cm−1 with a resolution 4 cm−1. Da...

The chlorophyll fluorescence parameter Fv/Fm plays a significant role in indicating the photosynthetic function of plants. existing technical methods used to measure are often inefficient and cumbersome. To realize fast non-destructive monitoring Fv/Fm, this study took rice under different fertilizer treatments measured hyperspectral reflectance information data leaves during whole growth perio...

Generally, Near Infrared Reflectance (NIR) spectroscopy is a non-destructive method that can identify the chemical content of agricultural products. In this study, several pretreatment data were used to reduce some noises from original NIR spectra, namely normalization (0-1) and Multiple Scatter Correction (MSC) calibration model caffeine using Artificial Neural Network (ANN). Result wavelength...

In order to reduce excessive fertiliser application, a non-destructive method of spectral data acquisition using spectroradiometer with wavelet analysis was explored determine the level nutrients in oil palm leaves. analysis, de-noising (WD) can be applied remove background noises and other disturbances such as scattered light that may affect results data. Therefore, this study aims evaluate be...

NIR diffuse reflectance spectroscopic spectra can be mathematically modelled to extract quantitative information by suitable multivariate calibration models. The analysis of spectral data becomes complex as the is more prone noise due light scattering and baseline effects. These errors reduces robustness reliability developed model. Hence pre-processing most important aspect in analysis. Differ...

The leaf chlorophyll content is one of the most important factors for the growth of winter wheat. Visual and near-infrared sensors are a quick and non-destructive testing technology for the estimation of crop leaf chlorophyll content. In this paper, a new approach is developed for leaf chlorophyll content estimation of winter wheat based on visible and near-infrared sensors. First, the sliding ...

Black tea has a long history in China, but export trade, pesticide residues often exceed the standard. To obtain rapid, accurate, and non-destructive identification method of on black tea, fluorescence hyperspectral data dry sprayed with distilled water six pesticides were collected this study. The spectra preprocessed by multiplicative scatter correction (MSC) standard normal variate (SNV). Th...

In order to vertify the feasibility of the near-infrared to detect the veterinary drug in honey, studying the impact of different background correction methods for linear modeling and nonlinear modeling. Use PLSR to establish the linear model between near-infrared spectroscopy and to be measured, and LSSVR to establish the nonlinear model between near-infrared spectroscopy and to be measured. A...