Remote Sensing for Agriculture in the Era of Industry 5.0–A survey

N Victor, PKR Maddikunta, DRK Mary… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Agriculture can be regarded as the backbone of human civilization. As technology evolved,
the synergy between agriculture and remote sensing has brought about a paradigm shift …

[HTML][HTML] Enhancing smart farming through the applications of Agriculture 4.0 technologies

M Javaid, A Haleem, RP Singh, R Suman - International Journal of …, 2022 - Elsevier
Agriculture 4.0 represents the fourth agriculture revolution that uses digital technologies and
moves toward a smarter, more efficient, environmentally responsible agriculture sector …

Visual analysis of machine learning methods in the field of ergonomics—Based on Cite Space V

M Zhang, H Li, S Tian - International Journal of Industrial Ergonomics, 2023 - Elsevier
To analyze the research hotspots on the application of machine learning methods in the field
of ergonomics, we collected 1141 articles related to machine learning methods in the field of …

Discussing the present, past, and future of Machine learning techniques in livestock farming: A systematic literature review

R Roy, MM Baral, SK Pal, S Kumar… - … on machine learning …, 2022 - ieeexplore.ieee.org
The digital revolution of livestock production has converted various planning functions into
artificially intelligent systems to obtain information from different sources. Machine learning …

A Review of AIoT-based Human Activity Recognition: From Application to Technique

W Qi, X Xu, K Qian, BW Schuller… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
This sco** review paper redefines the Artificial Intelligence-based Internet of Things (AIoT)
driven Human Activity Recognition (HAR) field by systematically extrapolating from various …

Large scale foundation models for intelligent manufacturing applications: a survey

H Zhang, SD Semujju, Z Wang, X Lv, K Xu… - Journal of Intelligent …, 2025 - Springer
Although the applications of artificial intelligence especially deep learning have greatly
improved various aspects of intelligent manufacturing, they still face challenges for broader …

A machine learning approach for the classification of falls and activities of daily living in agricultural workers

H Son, JW Lim, S Park, B Park, J Han, HB Kim… - IEEE …, 2022 - ieeexplore.ieee.org
Population aging is a global trend, and the highest proportion of elderly people in the
workforce per unit of population is found in agricultural areas. However, few systematic …

[HTML][HTML] Optimal Sensor Placement and Multimodal Fusion for Human Activity Recognition in Agricultural Tasks

L Benos, D Tsaopoulos, AC Tagarakis, D Kateris… - Applied Sciences, 2024 - mdpi.com
This study examines the impact of sensor placement and multimodal sensor fusion on the
performance of a Long Short-Term Memory (LSTM)-based model for human activity …

Recent trends in reduction of hand arm vibration syndrome for agricultural handheld equipment: A review based on challenges and future directions

SS Awati, AS Todkar - Noise & Vibration Worldwide, 2024 - journals.sagepub.com
A major occupational health risk in the agricultural industry is Hand Arm Vibration Syndrome
(HAVS), which is brought on by exposure to vibration from handled machinery. This review …

[HTML][HTML] A mobile solution for enhancing tourist safety in warm and humid destinations

S Dinkoksung, R Pitakaso, C Boonmee, T Srichok… - Applied Sciences, 2023 - mdpi.com
This research introduces a mobile application specifically designed to enhance tourist safety
in warm and humid destinations. The proposed solution integrates advanced functionalities …