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[HTML][HTML] Machine learning in agriculture domain: A state-of-art survey
V Meshram, K Patil, V Meshram, D Hanchate… - Artificial Intelligence in …, 2021 - Elsevier
Food is considered as a basic need of human being which can be satisfied through farming.
Agriculture not only fulfills humans' basic needs, but also considered as source of …
Agriculture not only fulfills humans' basic needs, but also considered as source of …
Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices
Background The development of techniques and methods for rapidly and reliably detecting
and analysing food quality and safety products is of significance for the food industry …
and analysing food quality and safety products is of significance for the food industry …
Fruit image classification model based on MobileNetV2 with deep transfer learning technique
Y Gulzar - Sustainability, 2023 - mdpi.com
Due to the rapid emergence and evolution of AI applications, the utilization of smart imaging
devices has increased significantly. Researchers have started using deep learning models …
devices has increased significantly. Researchers have started using deep learning models …
Physics-informed attention temporal convolutional network for EEG-based motor imagery classification
H Altaheri, G Muhammad… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
The brain-computer interface (BCI) is a cutting-edge technology that has the potential to
change the world. Electroencephalogram (EEG) motor imagery (MI) signal has been used …
change the world. Electroencephalogram (EEG) motor imagery (MI) signal has been used …
[HTML][HTML] Recent advances in image processing techniques for automated leaf pest and disease recognition–A review
LC Ngugi, M Abelwahab, M Abo-Zahhad - Information processing in …, 2021 - Elsevier
Fast and accurate plant disease detection is critical to increasing agricultural productivity in
a sustainable way. Traditionally, human experts have been relied upon to diagnose …
a sustainable way. Traditionally, human experts have been relied upon to diagnose …
[HTML][HTML] Computer vision technology in agricultural automation—A review
H Tian, T Wang, Y Liu, X Qiao, Y Li - Information processing in agriculture, 2020 - Elsevier
Computer vision is a field that involves making a machine “see”. This technology uses a
camera and computer instead of the human eye to identify, track and measure targets for …
camera and computer instead of the human eye to identify, track and measure targets for …
A comprehensive survey of the Internet of Things (IoT) and AI-based smart healthcare
F Alshehri, G Muhammad - IEEE access, 2020 - ieeexplore.ieee.org
Smart health care is an important aspect of connected living. Health care is one of the basic
pillars of human need, and smart health care is projected to produce several billion dollars …
pillars of human need, and smart health care is projected to produce several billion dollars …
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 …
Development of image recognition software based on artificial intelligence algorithm for the efficient sorting of apple fruit
Manual sorting of fruits was considered as a significant challenging for agricultural sector as
it is a laborious task and may also lead to inconsistency in the classification. In order to …
it is a laborious task and may also lead to inconsistency in the classification. In order to …
Privacy-preserving blockchain-based federated learning for traffic flow prediction
Y Qi, MS Hossain, J Nie, X Li - Future Generation Computer Systems, 2021 - Elsevier
As accurate and timely traffic flow information is extremely important for traffic management,
traffic flow prediction has become a vital component of intelligent transportation systems …
traffic flow prediction has become a vital component of intelligent transportation systems …