Harnessing big data analytics for healthcare: A comprehensive review of frameworks, implications, applications, and impacts

A Ahmed, R Xi, M Hou, SA Shah, S Hameed - IEEE Access, 2023 - ieeexplore.ieee.org
Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …

[HTML][HTML] Unlocking the potential of quality as a core marketing strategy in remanufactured circular products: A machine learning enabled multi-theoretical perspective

K Govindan - International Journal of Production Economics, 2024 - Elsevier
Remanufacturing processes are inevitably associated with sustainable development. To
unleash the potential of remanufacturing for circular economy transition, practitioners have …

Application of machine vision system in food detection

Z Xiao, J Wang, L Han, S Guo, Q Cui - Frontiers in Nutrition, 2022 - frontiersin.org
Food processing technology is an important part of modern life globally and will undoubtedly
play an increasingly significant role in future development of industry. Food quality and …

A deep features extraction model based on the transfer learning model and vision transformer “tlmvit” for plant disease classification

A Tabbakh, SS Barpanda - IEEE Access, 2023 - ieeexplore.ieee.org
This paper proposes a novel approach for extracting deep features and classifying diseased
plant leaves. The agriculture industry is negatively impacted by plant diseases causing crop …

DenseNet-201 and Xception pre-trained deep learning models for fruit recognition

F Salim, F Saeed, S Basurra, SN Qasem… - Electronics, 2023 - mdpi.com
With the dramatic increase of the global population and with food insecurity increasing, it
has become a major concern for both individuals and governments to fulfill the need for …

Artificial intelligence in postharvest agriculture: mapping a research agenda

T Fadiji, T Bokaba, OA Fawole… - Frontiers in Sustainable …, 2023 - frontiersin.org
Introduction The implementation of artificial intelligence (AI) in postharvest agriculture has
significantly improved in recent decades, thanks to extensive scientific research. The study …

Grading detection of “Red Fuji” apple in Luochuan based on machine vision and near-infrared spectroscopy

J Wang, Y Huo, Y Wang, H Zhao, K Li, L Liu, Y Shi - Plos one, 2022 - journals.plos.org
A quality detection system for the “Red Fuji” apple in Luochuan was designed for automatic
grading. According to the Chinese national standard, the grading principles of apple …

A general machine learning model for assessing fruit quality using deep image features

ID Apostolopoulos, M Tzani, SI Aznaouridis - AI, 2023 - mdpi.com
Fruit quality is a critical factor in the produce industry, affecting producers, distributors,
consumers, and the economy. High-quality fruits are more appealing, nutritious, and safe …

Agroclimatic and Phytosanitary Events and Emerging Technologies for Their Identification in Avocado Crops: A Systematic Literature Review

T Ramirez-Guerrero, MI Hernandez-Perez, MS Tabares… - Agronomy, 2023 - mdpi.com
Avocado is one of the most commercialized and profitable fruits in the international market.
Its cultivation and production are centered in countries characterized by tropical and …

Apple Varieties Classification Using Deep Features and Machine Learning

A Taner, MT Mengstu, KÇ Selvi, H Duran, İ Gür… - Agriculture, 2024 - mdpi.com
Having the advantages of speed, suitability and high accuracy, computer vision has been
effectively utilized as a non-destructive approach to automatically recognize and classify …