An energy-efficient classification system for peach ripeness using YOLOv4 and flexible piezoelectric sensor

Y Wang, X Jin, J Zheng, X Zhang, X Wang, X He… - … and Electronics in …, 2023 - Elsevier
Peach is a kind of popular fruit with significant economic value, but it is commonly sorted
through manual labor on sorting lines, which can negatively affect the economic efficiency …

[HTML][HTML] Apple ripeness identification from digital images using transformers

B Xiao, M Nguyen, WQ Yan - Multimedia Tools and Applications, 2024 - Springer
We describe a non-destructive test of apple ripeness using digital images of multiple types of
apples. In this paper, fruit images are treated as data samples, artificial intelligence models …

An innovative approach for fruit ripeness classification

R Thakur, G Suryawanshi, H Patel… - 2020 4th International …, 2020 - ieeexplore.ieee.org
An automatic vision-based system for sorting and analyzing strawberry fruit is discussed in
this paper. Manual classification leads to discrete opinion and is more time-consuming …

[HTML][HTML] ATC-YOLOv5: Fruit Appearance Quality Classification Algorithm Based on the Improved YOLOv5 Model for Passion Fruits

C Liu, W Lin, Y Feng, Z Guo, Z Xie - Mathematics, 2023 - mdpi.com
Passion fruit, renowned for its significant nutritional, medicinal, and economic value, is
extensively cultivated in subtropical regions such as China, India, and Vietnam. In the …

[HTML][HTML] Improved classification approach for fruits and vegetables freshness based on deep learning

M Mukhiddinov, A Muminov, J Cho - Sensors, 2022 - mdpi.com
Classification of fruit and vegetable freshness plays an essential role in the food industry.
Freshness is a fundamental measure of fruit and vegetable quality that directly affects the …

Autonomous lemon grading system by using machine learning and traditional image processing

LD Hanh, DNT Bao - International Journal on Interactive Design and …, 2023 - Springer
Fruits like lemons are always harvested in huge quantities. However, currently, the
assessment of lemon quality as best, good and bad, which based on the color change in the …

Improved YOLO object detection algorithm to detect ripe pineapple phase

NHH Cuong, TH Trinh, P Meesad… - Journal of Intelligent & …, 2022 - content.iospress.com
A computational method for detecting pineapple ripening could lead to increased
agricultural productivity. It is possible to predict fruit maturity before harvesting to increase …

[HTML][HTML] Improved YOLOv5 Network for Detection of Peach Blossom Quantity

L Sun, J Yao, H Cao, H Chen, G Teng - Agriculture, 2024 - mdpi.com
In agricultural production, rapid and accurate detection of peach blossom bloom plays a
crucial role in yield prediction, and is the foundation for automatic thinning. The currently …

[HTML][HTML] A Swin transformer and MLP based method for identifying cherry ripeness and decay

K Song, J Yang, G Wang - Frontiers in Physics, 2023 - frontiersin.org
Cherries are a nutritionally beneficial and economically significant crop, with fruit ripeness
and decay (rot or rupture) being critical indicators in the cherry sorting process. Therefore …

[HTML][HTML] Object detection algorithms for ripeness classification of oil palm fresh fruit bunch

M Mansour, KD Dambul, KY Choo - International Journal of …, 2022 - ijtech.eng.ui.ac.id
Ripe oil palm fresh fruit bunch allows extraction of high-quality crude palm oil and kernel
palm oil. As the fruit ripens, its surface color changes from black (unripe) or dark purple …