Intelligent detection for fresh‐cut fruit and vegetable processing: Imaging technology

T Tang, M Zhang, AS Mujumdar - Comprehensive reviews in …, 2022 - Wiley Online Library
Fresh‐cut fruits and vegetables are healthy and convenient ready‐to‐eat foods, and the final
quality is related to the raw materials and each step of the cutting unit. It is necessary to …

Detection and prevention of foreign material in food: A review

K Payne, CA O'Bryan, JA Marcy, PG Crandall - Heliyon, 2023 - cell.com
This review highlights the critical concern foreign material contamination poses across the
food processing industry and provides information on methods and implementations to …

Hyperspectral imaging techniques for detection of foreign materials from fresh-cut vegetables

SS Tunny, H Kurniawan, HZ Amanah, I Baek… - Postharvest Biology and …, 2023 - Elsevier
Foreign materials (FMs) in fresh-cut vegetables are a huge concern for the fresh-cut industry
since they affect product safety and quality. Therefore, effective methods of detecting FMs in …

[HTML][HTML] Classification of Garlic (Allium sativum L.) Crops by Fertilizer Differences Using Ground-Based Hyperspectral Imaging System

H Chung, S Wi, BK Cho, H Lee - Agriculture, 2024 - mdpi.com
In contemporary agriculture, enhancing the efficient production of crops and optimizing
resource utilization have become paramount objectives. Garlic growth and quality are …

Fluorescence Hyperspectral Imaging for Early Diagnosis of Heat-Stressed Ginseng Plants

MA Faqeerzada, E Park, T Kim, MS Kim, I Baek… - Applied Sciences, 2022 - mdpi.com
Ginseng is a perennial herbaceous plant that has been widely consumed for medicinal and
dietary purposes since ancient times. Ginseng plants require shade and cool temperatures …

[HTML][HTML] Detection of physical hazards from fruit processed products using hyperspectral imaging and prediction based on PLS-DA and logistic regression machine …

NY Lee, IS Na, KW Lee, DH Lee, JW Kim, MC Kook… - Applied Food …, 2024 - Elsevier
The current study aims to investigate a prediction model from reflection values and the
spectral angle mapper (SAM) obtained from hyperspectral imaging (HSI) technology for the …

Rapid and noncontact identification of soybean flour in edible insect using NIR spectral imager: A case study in Protaetia brevitarsis seulensis powder

RAP Hernanda, J Kim, MA Faqeerzada, HZ Amanah… - Food Control, 2025 - Elsevier
Edible insects are notably considered novel foods with high amounts of protein, making
them valuable. There are still no reported cases of edible insect adulteration, but there is a …

[HTML][HTML] Advanced detection of foreign objects in fresh-cut vegetables using YOLOv5

H Kurniawan, MAA Arief, B Manggala, S Lee, H Kim… - LWT, 2024 - Elsevier
The presence of foreign objects in fresh-cut vegetables has become a significant concern for
the industry in recent years. Ensuring the safety of consumers and suppliers necessitates …

A Comprehensive Review of Advanced Deep Learning Approaches for Food Freshness Detection

R Singh, C Nickhil, R Nisha, K Upendar… - Food Engineering …, 2024 - Springer
This comprehensive review highlights the significant strides made in the field of food
freshness detection through the integration of deep learning and imaging techniques. By …

Non-Destructive Detection of Abnormal Chicken Eggs by Using an Optimized Spectral Analysis System

J Kim, D Semyalo, TG Rho, H Bae, BK Cho - Sensors, 2022 - mdpi.com
Environmental pressures, such as temperature and light intensity, food, and genetic factors,
can cause chicken eggs to develop abnormalities. The common types of internal egg …