Harnessing big data analytics for healthcare: A comprehensive review of frameworks, implications, applications, and impacts
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 …
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 …
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 …
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 …
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
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 …
has become a major concern for both individuals and governments to fulfill the need for …
Artificial intelligence in postharvest agriculture: mapping a research agenda
Introduction The implementation of artificial intelligence (AI) in postharvest agriculture has
significantly improved in recent decades, thanks to extensive scientific research. The study …
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 …
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 …
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
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 …
Its cultivation and production are centered in countries characterized by tropical and …
Apple Varieties Classification Using Deep Features and Machine Learning
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 …
effectively utilized as a non-destructive approach to automatically recognize and classify …