Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review

Y Bai, B Zhang, N Xu, J Zhou, J Shi, Z Diao - Computers and Electronics in …, 2023 - Elsevier
Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …

Machine learning in agriculture: A comprehensive updated review

L Benos, AC Tagarakis, G Dolias, R Berruto, D Kateris… - Sensors, 2021 - mdpi.com
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …

[HTML][HTML] Actuators and sensors for application in agricultural robots: A review

D **e, L Chen, L Liu, L Chen, H Wang - Machines, 2022 - mdpi.com
In recent years, with the rapid development of science and technology, agricultural robots
have gradually begun to replace humans, to complete various agricultural operations …

Wearable sensor-based human activity recognition with transformer model

I Dirgová Luptáková, M Kubovčík, J Pospíchal - Sensors, 2022 - mdpi.com
Computing devices that can recognize various human activities or movements can be used
to assist people in healthcare, sports, or human–robot interaction. Readily available data for …

A review on multirobot systems in agriculture

C Ju, J Kim, J Seol, HI Son - Computers and Electronics in Agriculture, 2022 - Elsevier
Agricultural multirobot systems (MRSs) are expected to be essential in future agriculture.
Therefore, MRSs comprising an aerial robot, a ground robot, and a manipulator are being …

[HTML][HTML] An overview of cooperative robotics in agriculture

C Lytridis, VG Kaburlasos, T Pachidis, M Manios… - Agronomy, 2021 - mdpi.com
Agricultural robotics has been a popular subject in recent years from an academic as well as
a commercial point of view. This is because agricultural robotics addresses critical issues …

Energy-efficient and interpretable multisensor human activity recognition via deep fused lasso net

Y Zhou, J **e, X Zhang, W Wu… - IEEE transactions on …, 2024 - ieeexplore.ieee.org
Utilizing data acquired by multiple wearable sensors can usually guarantee more accurate
recognition for deep learning based human activity recognition. However, an increased …

[HTML][HTML] Human–robot interaction in agriculture: a systematic review

L Benos, V Moysiadis, D Kateris, AC Tagarakis… - Sensors, 2023 - mdpi.com
In the pursuit of optimizing the efficiency, flexibility, and adaptability of agricultural practices,
human–robot interaction (HRI) has emerged in agriculture. Enabled by the ongoing …

Agricultural sustainability in the age of deep learning: current trends, challenges, and future trajectories

M Mohamed - Sustainable Machine Intelligence Journal, 2023 - sciencesforce.com
Agriculture stands as the essential foundation of human sustenance, confronting the dual
challenge of providing for a burgeoning global populace while safeguarding the integrity of …

An ensemble deep learning model for human activity analysis using wearable sensory data

S Batool, MH Khan, MS Farid - Applied Soft Computing, 2024 - Elsevier
Lately, the continuous temporal data from motion sensors in wearable devices has been
great interest for the research community due to its demand for analyzing human activities in …