Results 11 to 20 of about 7,064 (148)

Non-Destructive Analysis of Phenolic and Flavonoid Contents in Medicinal Plant Powders Using Hyperspectral Imaging and Variable Selection. [PDF]

Anal Sci Adv
ABSTRACT Phenolic and flavonoid contents in medicinal plants are essential to their growth and development and provide numerous health benefits, yet their quantification using traditional wet chemistry is labor‐intensive and time‐consuming. This study utilized the combination of two benchtop hyperspectral imaging (HSI) systems, namely short‐wave ...
Joshi R, Kholiya S, Pandey H, Singh M, Tiwari A, Lim J, Sathasivam R, Faqeerzada MA, Park SU, Cho BK.   +9 more
europepmc   +2 more sources

Total monomeric anthocyanin concentration estimation of red wines based on color data using multivariate statistical analysis and machine learning. [PDF]

J Sci Food Agric
Abstract BACKGROUND Red wine is a high‐value grape derivative containing complex chemical compounds that dictate its quality. Qualitative and quantitative determination of these compounds is essential for standardizing and classifying the product. This proof‐of‐concept study integrates chemometric methods and machine learning algorithms to establish ...
Atlayan E, Berk B, Unluturk S.
europepmc   +2 more sources

Estimación de variables esenciales de la vegetación en un ecosistema de dehesa utilizando factores de reflectividad simulados estacionalmente

Revista de Teledetección, 2020
Los pastos arbolados y arbustivos son vitales para la producción ganadera extensiva y sostenible, la conservación de la biodiversidad y la provisión de servicios ecosistémicos y se localizan en áreas que serán previsiblemente más afectadas por el cambio ...
M. P. Martín, J. Pacheco-Labrador, R. González-Cascón, G. Moreno, M. Migliavacca, M. García, M. Yebra, D. Riaño   +7 more
doaj   +1 more source

Estimation and mapping of pasture biomass in Mongolia using machine learning methods

Geocarto International, 2023
Mongolian pasture plays an essential role in the national economy. Reliable pasture biomass estimation is indispensable to support the agricultural sector and also sustainable livelihood in the country.
Enkhmanlai Amarsaikhan, Nyamjargal Erdenebaatar, Damdinsuren Amarsaikhan, Munkhdulam Otgonbayar, Batbileg Bayaraa   +4 more
doaj   +1 more source

Rapid Measurement of Cellulose, Hemicellulose, and Lignin Content in Sargassum horneri by Near-Infrared Spectroscopy and Characteristic Variables Selection Methods

Molecules, 2022
Near-infrared (NIR) spectroscopy and characteristic variables selection methods were used to develop a quick method for the determination of cellulose, hemicellulose, and lignin contents in Sargassum horneri.
Ning Ai, Yibo Jiang, Sainab Omar, Jiawei Wang, Luyue Xia, Jie Ren   +5 more
doaj   +1 more source

Estimation of soil organic carbon content by Vis-NIR spectroscopy combining feature selection algorithm and local regression method [PDF]

Revista Brasileira de Ciência do Solo, 2023
Soil organic carbon (SOC) content is a critical parameter for evaluating soil health. However, high redundancy and invalid information in soil hyperspectral data can reduce the accuracy and stability of SOC prediction models.
Baoyang Liu, Baofeng Guo, Renxiong Zhuo, Fan Dai   +3 more
doaj   +1 more source

Analytical method development of pitavastatin-loaded SNEDDS formulation: Multivariate analysis regarding ultraviolet spectrophotometry analysis

Journal of Food and Pharmaceutical Sciences, 2019
Herein, this work aimed to develop and assess feasibility of multivariate model of partial least square analysis for specific quantification of pitavastatin (PVT)-loaded self-nano emulsion (SNE) formulation using UV Vis spectrophotometry. PVT loaded into
Kuncahyo I, Choiri S, Fudholi A, Abdul Rohman, Ronny Martien   +4 more
doaj   +1 more source

Aroma profiles of commercial Chinese traditional fermented fish (Suan yu) in Western Hunan: GC-MS, odor activity value and sensory evaluation by partial least squares regression

International Journal of Food Properties, 2020
In this study, the aroma volatile compounds of commercial Chinese traditional fermented fish (Suan yu) from western Hunan were investigated. A total of 59 volatile compounds were identified and quantified by GC-MS combined with headspace solid-phase ...
Pei Gao, Qixing Jiang, Yanshun Xu, Fang Yang, Peipei Yu, Wenshui Xia   +5 more
doaj   +1 more source

Hyperspectral Prediction of Soil Total Salt Content by Different Disturbance Degree under a Fractional-Order Differential Model with Differing Spectral Transformations

Remote Sensing, 2021
Soil salinization is an ecological challenge across the world. Particularly in arid and semi-arid regions where evaporation is rapid and rainfall is scarce, both primary soil salinization and secondary salinization due to human activity pose serious ...
Anhong Tian, Junsan Zhao, Bohui Tang, Daming Zhu, Chengbiao Fu, Heigang Xiong   +5 more
doaj   +1 more source

Quantitative analysis of index factors in agricultural compost by infrared spectroscopy

Heliyon, 2023
Hyperspectral technology, with its high spectrum resolution and nanometer continuous spectral information acquisition ability, provide a possibility for rapidly and nondestructive evaluating compost maturity. In this study, the near-infrared spectroscopy
Guangrong Shen, Yanchi Chen, Jingying Zhang, Yu Wu, Yang Yi, Shengyong Li, Shan Yin   +6 more
doaj   +1 more source