[HTML][HTML] Deep learning and machine vision for food processing: A survey

L Zhu, P Spachos, E Pensini, KN Plataniotis - Current Research in Food …, 2021 - Elsevier
The quality and safety of food is an important issue to the whole society, since it is at the
basis of human health, social development and stability. Ensuring food quality and safety is …

Automatic metallic surface defect detection and recognition with convolutional neural networks

X Tao, D Zhang, W Ma, X Liu, D Xu - Applied Sciences, 2018 - mdpi.com
Automatic metallic surface defect inspection has received increased attention in relation to
the quality control of industrial products. Metallic defect detection is usually performed …

Multiclass classification of dry beans using computer vision and machine learning techniques

M Koklu, IA Ozkan - Computers and Electronics in Agriculture, 2020 - Elsevier
There is a wide range of genetic diversity of dry bean which is the most produced one
among the edible legume crops in the world. Seed quality is definitely influential in crop …

Spectroscopy and computer vision techniques for noninvasive analysis of legumes: A review

S Ma, Y Li, Y Peng - Computers and Electronics in Agriculture, 2023 - Elsevier
Legumes play a vital role in human consumption, animal foraging, and sustainable farming.
Rapid quality monitoring techniques in the periods of planting, harvesting, and storage are …

Automation of trimming die design inspection by zigzag process between AI and CAD domains

JS Lee, TH Kim, SH Jeon, SH Park, SH Kim… - … Applications of Artificial …, 2024 - Elsevier
Quality control using artificial intelligence (AI) has led to considerable improvements in the
manufacturing industry. However, inspection of computer-aided design (CAD) drawing to …

A novel vision-based weakly supervised framework for autonomous yield estimation in agricultural applications

E Bellocchio, F Crocetti, G Costante… - … Applications of Artificial …, 2022 - Elsevier
Autonomous systems have been established as a ground-breaking technology in
agriculture, particularly for resource optimization and labor savings. However, even those …

Deep-learning-based defective bean inspection with GAN-structured automated labeled data augmentation in coffee industry

YC Chou, CJ Kuo, TT Chen, GJ Horng, MY Pai… - Applied Sciences, 2019 - mdpi.com
In the production process from green beans to coffee bean packages, the defective bean
removal (or in short, defect removal) is one of most labor-consuming stages, and many …

Characterizing patterns of seasonal drought stress for use in common bean breeding in East Africa under present and future climates

PK Jha, S Beebe, P Alvarez-Toro, C Mukankusi… - Agricultural and Forest …, 2023 - Elsevier
Common bean (Phaseolus vulgaris L.) is the second most important source of dietary
protein and the third most important source of calories in Africa, especially for the poor. In …

Identification of dry bean varieties based on multiple attributes using catboost machine learning algorithm

S Krishnan, SK Aruna, K Kanagarathinam… - Scientific …, 2023 - Wiley Online Library
Dry beans are the most widely grown edible legume crop worldwide, with high genetic
diversity. Crop production is strongly influenced by seed quality. So, seed classification is …

Analytics in developing countries: methods, applications, and the impact on the UN Sustainable Development Goals

CC Orhan, M Guajardo - International Transactions in …, 2022 - Wiley Online Library
The growing availability of data coupled with advanced methods and computing power have
fostered organizations to adopt business analytics in their decision‐making. Nevertheless …