Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress

Y Lu, W Saeys, M Kim, Y Peng, R Lu - Postharvest Biology and Technology, 2020 - Elsevier
In the past 20 years, hyperspectral imaging has been widely investigated as an emerging,
promising technology for evaluating quality and safety of horticultural products. This …

Advances in apple's automated orchard equipment: A comprehensive research

M Mhamed, Z Zhang, J Yu, Y Li, M Zhang - Computers and Electronics in …, 2024 - Elsevier
This study reviews the advancement of apple-related technology in six distinct domains:
pruning, pollinating, thinning, bagging, harvesting, and sorting. Firstly, the pruning section …

Technology progress in mechanical harvest of fresh market apples

Z Zhang, C Igathinathane, J Li, H Cen, Y Lu… - … and Electronics in …, 2020 - Elsevier
This article reviews the research and development progress of mechanical harvest
technologies for fresh market apples over the past decades with a focus on the predominant …

Recent advances in imaging techniques for bruise detection in fruits and vegetables

Z Du, X Zeng, X Li, X Ding, J Cao, W Jiang - Trends in Food Science & …, 2020 - Elsevier
Background Bruising is the most common type of mechanical damage, which is inevitable
along the postharvest chain, including harvesting, sorting, packaging and so on. It's the …

[HTML][HTML] Advancements in machine visions for fruit sorting and grading: A bibliometric analysis, systematic review, and future research directions

BO Olorunfemi, NI Nwulu, OA Adebo… - Journal of Agriculture and …, 2024 - Elsevier
This research conducted a bibliometric analysis of scholarly literature on fruit sorting and
grading using machine vision, identifying primary themes, sources, most-cited publications …

[HTML][HTML] Wheat lodging detection from UAS imagery using machine learning algorithms

Z Zhang, P Flores, C Igathinathane, D L. Naik, R Kiran… - Remote sensing, 2020 - mdpi.com
The current mainstream approach of using manual measurements and visual inspections for
crop lodging detection is inefficient, time-consuming, and subjective. An innovative method …

Identification of early decayed oranges using structured-illumination reflectance imaging coupled with fast demodulation and improved image processing algorithms

J Li, Y Lu, R Lu - Postharvest Biology and Technology, 2024 - Elsevier
Effective detection of decayed oranges (Citrus genus) at the early stage is challenging
because there are no or few visual symptoms on the infected fruit. Structured-illumination …

Recent progress of nondestructive techniques for fruits damage inspection: a review

Y He, Q **ao, X Bai, L Zhou, F Liu… - Critical Reviews in Food …, 2022 - Taylor & Francis
In the process of growing, harvesting, and storage, fruits are vulnerable to mechanical
damage, microbial infections, and other types of damage, which not only reduce the quality …

Apple varieties and growth prediction with time series classification based on deep learning to impact the harvesting decisions

M Mhamed, Z Zhang, W Hua, L Yang, M Huang, X Li… - Computers in …, 2025 - Elsevier
Apples are among the most popular fruits globally due to their health and nutritional benefits
for humans. Artificial intelligence in agriculture has advanced, but vision, which improves …

Beef marbling assessment by structured-illumination reflectance imaging with deep learning

J Cai, Y Lu, E Olaniyi, S Wang, C Dahlgren… - Journal of Food …, 2024 - Elsevier
Beef marbling is primarily assessed in terms of the abundance and spatial distribution of
visible fat flecks within Longissimus Dorsi (LD) muscle. Visual appraisal by trained …