A concise review on food quality assessment using digital image processing
Background Recent advances in signal processing technology and computational power
have increased the attention towards computer vision-based techniques in diverse …
have increased the attention towards computer vision-based techniques in diverse …
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 …
along the postharvest chain, including harvesting, sorting, packaging and so on. It's the …
Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs) and support …
Image processing and artificial intelligence (AI) techniques have been applied to analyze,
evaluate and classify mulberry fruit according to their ripeness (unripe, ripe, and overripe). A …
evaluate and classify mulberry fruit according to their ripeness (unripe, ripe, and overripe). A …
Fruit quality and defect image classification with conditional GAN data augmentation
Abstract Contemporary Artificial Intelligence technologies allow for the employment of
Computer Vision to discern good crops from bad, providing a step in the pipeline of selecting …
Computer Vision to discern good crops from bad, providing a step in the pipeline of selecting …
Accurate classification of cherry fruit using deep CNN based on hybrid pooling approach
The most important quality parameter of a product is its nutritional value, but marketability of
agricultural products depends primarily on the overall appearance and shape of the …
agricultural products depends primarily on the overall appearance and shape of the …
Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks
Fruit infected by pests or diseases and fruit harvests with different levels of ripeness cause a
lack of marketability, decrease in economic value, and increase in crop waste. In this study …
lack of marketability, decrease in economic value, and increase in crop waste. In this study …
[HTML][HTML] Intelligent detection and waste control of hawthorn fruit based on ripening level using machine vision system and deep learning techniques
Increasing marketability and waste management of agricultural products require quality
assessment. Meanwhile, their marketability is largely affected by their shapes and overall …
assessment. Meanwhile, their marketability is largely affected by their shapes and overall …
[HTML][HTML] Fast and precise detection of litchi fruits for yield estimation based on the improved YOLOv5 model
The fast and precise detection of dense litchi fruits and the determination of their maturity is
of great practical significance for yield estimation in litchi orchards and robot harvesting …
of great practical significance for yield estimation in litchi orchards and robot harvesting …
Automated detection of mechanical damage in flaxseeds using radiographic imaging and machine learning
The growing demand for flaxseed as a source of healthy edible oil mandates the need for
adopting novel strategies for preserving its quantity and quality. Mechanical damage during …
adopting novel strategies for preserving its quantity and quality. Mechanical damage during …
Citrus fruits maturity detection in natural environments based on convolutional neural networks and visual saliency map
S Chen, J Xiong, J Jiao, Z Xie, Z Huo, W Hu - Precision Agriculture, 2022 - Springer
Citrus fruits do not ripen at the same time in natural environments and exhibit different
maturity stages on trees, hence it is necessary to realize selective harvesting of citrus picking …
maturity stages on trees, hence it is necessary to realize selective harvesting of citrus picking …