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...

Water quality is identically important as quantity in terms of meeting basic human needs. Therefore, evaluating the surface-water and associated hydrochemical characteristics essential for managing water resources arid semi-arid environments. present research was conducted to evaluate predict agricultural purposes across Nile River, Egypt. For that, several irrigation indices (IWQIs) were used,...

One reason for soil degradation is salinization in inland dryland, which poses a substantial threat to arable land productivity. Remote-sensing technology provides rapid and accurate assessment salinity monitoring, but there lack of high-resolution remote-sensing spatial estimations. The PlanetScope satellite array high-precision mapping surface monitoring through its 3-m resolution near-daily ...

Soil water content is one of the most common physical parameters that cause landslides or debris flow. Therefore, it very importance to determine predict quickly and non-destructively. This study investigates hyperspectral information in visible near-infrared regions (VNIR) different samples granite soils possessing varying content. Totally 162 were taken from each mountain area. The with conte...

In this reflection I draw on the PLSR Editorial Board’s experiences to broadly think about our understanding of community within university, and beyond. The purpose is remind readers PSLR’s significance potential, encourage a radical rethinking type university we nurture.

The study examines the applicability of six metaheuristic regression techniques—M5 model tree (M5RT), multivariate adaptive spline (MARS), principal component (PCR), random forest (RF), partial least square (PLSR) and Gaussian process (GPR)—for predicting short-term significant wave heights from one hour to day ahead. Hourly data two stations, Townsville Brisbane Buoys, Queensland, Australia, h...

Wheat flour aging process is considered very important to impart desirable changes in order get good quality bakery products. It was extensively studied through analytical and rheological variations during storage using conventional methods. In this study, the potential of Fourier Transform Infrared Spectroscopy (FTIR) determined monitor wheat aging. FTIR spectroscopy along with chemometrics to...

Abstract Detection of fruit traits by using near-infrared (NIR) spectroscopy may encounter out-of-distribution samples that exceed the generalization ability a constructed calibration model. Therefore, confidence analysis for given prediction is required, but this cannot be done common models NIR spectroscopy. To address issue, paper studied Gaussian process regression (GPR) detection The mean ...

Retrospective analysis of historic data for cell culture processes is a powerful tool to develop further process understanding. In particular, deploying retrospective analyses can identify important parameters controlling critical quality attributes, e.g., afucosylation, the production monoclonal antibodies (mAbs). However, challenge analyzing large high correlation between regressors (particul...

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...