Results 91 to 100 of about 25,590 (247)

Determination of Calorific Value of Mixed Coals by Analysis of Major Elements Using Data Pre-Processing in Laser-Induced Breakdown Spectroscopy

open access: yesApplied Sciences, 2022
The purpose of this study was to enhance the accuracy of the calorific value estimation of coal by applying data preprocessing methods in laser-induced breakdown spectroscopy (LIBS).
Jong Hyun Park   +4 more
doaj   +1 more source

Soil organic matter determination based on artificial olfactory system and PLSR-BPNN

open access: yesMeasurement science and technology, 2020
Soil organic matter (SOM) is a key indicator of soil fertility. For accurate measurement of SOM, a novel method based on an artificial olfactory system (AOS) was proposed.
Dongyan Huang   +5 more
semanticscholar   +1 more source

UAV‐based RGB and multispectral vegetation indices as alternatives to light box‐derived dark green color index for turfgrass color assessment

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Traditionally, turfgrass color has been assessed through visual ratings or light box‐based digital image analysis, methods that are either subjective or labor‐intensive. In this study, we evaluated the potential of unmanned aerial vehicle (UAV)‐based multispectral and red‐green‐blue (RGB) imagery as a high‐throughput alternative for capturing ...
Ved Parkash   +9 more
wiley   +1 more source

At risk of being risky: The relationship between "brain age" under emotional states and risk preference. [PDF]

open access: yes, 2017
Developmental differences regarding decision making are often reported in the absence of emotional stimuli and without context, failing to explain why some individuals are more likely to have a greater inclination toward risk.
Bonnie, Richard J   +14 more
core   +2 more sources

Comparative Study of NIR-Based Machine Learning for Predicting Soil Nutrients in Indonesian Farmlands

open access: yesActa Technologica Agriculturae
This study evaluates the efficacy of machine learning models for predicting soil nitrogen (N), phosphorus (P), and potassium (K) concentrations from near-infrared (NIR) spectral data (750–2499 nm).
Adnan Adnan   +6 more
doaj   +1 more source

برآورد مقدار کربن آلی خاک با استفاده از داده‌های ابر طیفی در گستره VIS-NIR-SWIR [PDF]

open access: yesمدیریت خاک و تولید پایدار, 2016
سابقه و هدف: مقدار کربن آلی خاک به عنوان یکی از مهمترین ویژگی‌های خاک، اهمیت بسیاری در توسعه و مدیریت پایدار کشاورزی دارد. مقدار مواد آلی خاک که عموما بر اساس مقدار کربن آلی آن اندازه گیری می‌شود، معمولا به عنوان شاخص کلیدی کیفیت و عملکرد خاک قلمداد می ...
وحیدرضا جلالی   +1 more
doaj   +1 more source

Deep learning and computer vision for image‐based high‐throughput phenotyping of canning quality traits in dry beans

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Canning color retention is a key quality trait in dry bean (Phaseolus vulgaris L.) breeding, influencing consumer acceptance and commercial value. Public breeding programs maintain canning quality as a selection trait of importance, but existing color evaluation methods such as visual rating are subjective, while instrument colorimetry is ...
Lovepreet Singh   +4 more
wiley   +1 more source

A new gender-specific model for skin autofluorescence risk stratification [PDF]

open access: yes, 2015
Advanced glycation endproducts (AGEs) are believed to play a significant role in the pathophysiology of a variety of diseases including diabetes and cardiovascular diseases.
Ahmad, MS   +4 more
core   +1 more source

Technological Advances in Mung Bean (Vigna radiata (L.) Wilczek) Milling, Processing, and Utilization

open access: yesLegume Science, Volume 8, Issue 2, June 2026.
ABSTRACT Mung bean (Vigna radiata (L.) Wilczek) is emerging as a valuable ingredient in modern food systems due to its nutritional benefits, functional versatility, and alignment with plant‐based, clean‐label, and sustainable food trends. This review highlights recent technological advancements in mung bean processing, covering primary processing steps
Suresh Sakhare   +4 more
wiley   +1 more source

Assessing Moisture Content of Coolstored Blueberries During Water Loss Scenarios Using Hyperspectral Imaging

open access: yesNew Zealand Journal of Crop and Horticultural Science, Volume 54, Issue 2, June 2026.
Water loss is a key factor affecting the postharvest quality and shelf life of blueberries, and storage conditions (humidity and time) play an important role in regulating water retention capacity of stored berries. This study aims to explore the variation of moisture content (MC) in blueberries under different storage humidity and storage time ...
RunKai Wang   +3 more
wiley   +1 more source

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