[HTML][HTML] A comprehensive review of external quality measurements of fruits and vegetables using nondestructive sensing technologies

T Akter, T Bhattacharya, JH Kim, MS Kim, I Baek… - Journal of Agriculture …, 2024 - Elsevier
Fruits and vegetables have always had a significant economic impact on human survival,
providing food security and boosting output with minimal input. This review focuses on an in …

Fruit and vegetable disease detection and classification: Recent trends, challenges, and future opportunities

S Gupta, AK Tripathi - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Fruits and vegetables are major sources of nutrients for the majority of the population across
the globe. With the rapid increase in population, the objectives of the future agro-industry are …

FruitQ: a new dataset of multiple fruit images for freshness evaluation

OO Abayomi-Alli, R Damaševičius, S Misra… - Multimedia Tools and …, 2024 - Springer
Application of artificial intelligence methods in agriculture is gaining research attention with
focus on improving planting, harvesting, post-harvesting, etc. Fruit quality recognition is …

A quality-based sustainable supply chain architecture for perishable products using image processing in the era of industry 4.0

A Kumar, S Agrawal - Journal of Cleaner Production, 2024 - Elsevier
In India, approximately one-third of agricultural produce is wasted every year due to the
different issues present in the post-harvest supply chain stages. The supply chain …

Flexible multimode sensors based on hierarchical microstructures enable non-destructive grading of fruits in cold chain logistics

W Huang, J Xia, Y Wang, X Jin, HL Zhu… - Materials Today …, 2024 - Elsevier
In practical applications, flexible pressure sensors must demonstrate adequate sensitivity,
durability, and the ability to detect both dynamic and static forces across a wide range. The …

Attention guided approach for food type and state recognition

SS Alahmari, MR Gardner, T Salem - Food and Bioproducts Processing, 2024 - Elsevier
Advancements in computer vision have resulted in significant breakthroughs across various
applications, and one notable area of progress is in the recognition of food ingredient types …

[HTML][HTML] Machine learning for the identification of colour cues to estimate quality parameters of rocket leaves

M Palumbo, M Cefola, B Pace, G Colelli… - Journal of Food …, 2024 - Elsevier
Abstract Computer Vision Systems (CVSs) have proved to be a powerful tool to evaluate the
quality of agricultural products in a non-destructive, contactless, sustainable and objective …

Design and implementation of an AI-controlled spraying drone for agricultural applications using advanced image preprocessing techniques

C Akdoğan, T Özer, Y Oğuz - Robotic Intelligence and Automation, 2024 - emerald.com
Purpose Nowadays, food problems are likely to arise because of the increasing global
population and decreasing arable land. Therefore, it is necessary to increase the yield of …

Experimental evaluation of a machine learning approach to improve the reproducibility of network simulations

L Liang, H Phan, PJ Giabbanelli - Simulation, 2024 - journals.sagepub.com
A stochastic network simulation is verified when its distribution of outputs is aligned with the
ground truth, while tolerating deviations due to variability in real-world measurements and …

Predicting the quality attributes related to geographical growing regions in red-fleshed kiwifruit by data fusion of electronic nose and computer vision systems

M Asadi, M Ghasemnezhad, A Bakhshipour, JA Olfati… - BMC Plant …, 2024 - Springer
The ability of a data fusion system composed of a computer vision system (CVS) and an
electronic nose (e-nose) was evaluated to predict key physiochemical attributes and …