Recent research advancements of coffee quality detection: Targeted analyses vs. nontargeted fingerprinting and related issues

Y Chen, B Gao, W Lu - Journal of Food Quality, 2023 - Wiley Online Library
Coffee is an important commercial product that arose various quality issues. Different
techniques have been applied to detect coffee quality. This review focused on the recent …

Seed identification using machine vision: Machine learning features and model performance

M Himmelboe, JR Jørgensen, R Gislum… - Computers and Electronics …, 2025 - Elsevier
Abstract Machine vision offers an alternative to manual identification of seeds with the
opportunity of automation and additional information about seed quality aspects like …

Effects of roasting on the chemical compositions, color, aroma, microstructure, and the kinetics of changes in coffee pulp

T Lu, Y Sun, Y Huang, X Chen - Journal of Food Science, 2023 - Wiley Online Library
Roasting is a critical process that affects the quality attributes of coffee beans; however, how
roasting conditions affect the physical, chemical, biological, and organoleptic changes of …

Hyperspectral imaging for predicting and visualizing the acrylamide levels in roasted coffee

C Xie, W Tang, C Wang, Y Zhang, M Zhao - Microchemical Journal, 2024 - Elsevier
Since it is carcinogenic to humans, the acrylamide content in heat-processed foods should
be detected and controlled. This study investigated the spatial distribution and visualization …

A deep learning approach for accurate assessment of conveyor belt wear state based on multispectral imaging

M Zhou, Y Chen, F Hu, W Lai, L Gao - Optics & Laser Technology, 2025 - Elsevier
Accurate assessment of the conveyor belt wear state is a crucial part of measuring belt
conveyor safety and reliability. Therefore, this paper proposes an accurate detection …

Intelligent classifier for various degrees of coffee roasts using smart multispectral vision system

MY Lin, CH Chen, JH Lu - Journal of Field Robotics, 2024 - Wiley Online Library
This study proposes an innovative deep learning model for use in a multispectral vision
system comprising a complementary metal‐oxide semiconductor image sensor and a …

[HTML][HTML] Combination of DNA barcoding, targeted metabolite profiling and multispectral imaging to identify mold species and metabolites in sliced bread

N Ollinger, A Malachova, M Sulyok, L Schütz-Kapl… - Future Foods, 2022 - Elsevier
Mould is a ubiquitous threat to safe food. In this work, a combination of three reliable
methods to identify mould present in food at the species level is presented, to estimate the …

[HTML][HTML] Non-Destructive Seed Viability Assessment via Multispectral Imaging and Stacking Ensemble Learning

YR Chu, MS Jo, GE Kim, CH Park, DJ Lee, SH Che… - Agriculture, 2024 - mdpi.com
The tetrazolium (TZ) test is a reliable but destructive method for identifying viable seeds. In
this study, a non-destructive seed viability analysis method for Allium ulleungense was …

Research on intelligent clearing of weeds in wheat fields using spectral imaging and machine learning

X Dai, W Lai, N Yin, Q Tao, Y Huang - Journal of Cleaner Production, 2023 - Elsevier
The intelligent management of weed clearing can improve wheat yield and reduce the use
of pesticides. In this paper, our contribution is to propose a method for wheat and weed …

Application of Spectral Imaging and Vegetation Index in Latin American Coffee Production: A Systematic Mapping

LSC Apraez, AFS Pino, A Ossa… - Land Degradation & …, 2025 - Wiley Online Library
Coffee production is a crucial economic, social, and cultural pillar in Latin America, facing
numerous challenges, including integrating technological advancements such as …