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 …

Applications of machine vision in agricultural robot navigation: A review

T Wang, B Chen, Z Zhang, H Li, M Zhang - Computers and Electronics in …, 2022‏ - Elsevier
Many tasks in smart agriculture have further requirements for the autonomous navigation of
agricultural robots. Due to irreplaceable visual information and low-cost hardware costs …

3D vision technologies for a self-developed structural external crack damage recognition robot

K Hu, Z Chen, H Kang, Y Tang - Automation in Construction, 2024‏ - Elsevier
Persistent cracking and progressive damage can weaken the operational performance of
structures such as bridges, dams, and concrete buildings. Consequently, research into …

Dynamic visual servo control methods for continuous operation of a fruit harvesting robot working throughout an orchard

M Chen, Z Chen, L Luo, Y Tang, J Cheng, H Wei… - … and electronics in …, 2024‏ - Elsevier
Fruit-picking robots are crucial for achieving efficient orchard harvesting. To genuinely meet
the commercial production needs of farmers, the new generation of fruit-picking robots must …

Path planning for mobile robots in unstructured orchard environments: An improved kinematically constrained bi-directional RRT approach

L Ye, F Wu, X Zou, J Li - Computers and Electronics in Agriculture, 2023‏ - Elsevier
In complex orchard environments, efficient path-planning algorithms for mobile robots are
crucial for achieving accurate autonomous navigation and mobile operations. The existence …

Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: A review

Y Tang, J Qiu, Y Zhang, D Wu, Y Cao, K Zhao… - Precision Agriculture, 2023‏ - Springer
The demand for intelligent agriculture is increasing due to the continuous impact of world
food and environmental crises. Focusing on fruit detection, with the rapid development of …

Transforming unmanned pineapple picking with spatio-temporal convolutional neural networks

F Meng, J Li, Y Zhang, S Qi, Y Tang - Computers and Electronics in …, 2023‏ - Elsevier
Automated pineapple harvesting has emerged as a prominent prospective development
within the agricultural domain. Nevertheless, the intricate growth conditions that pineapples …

[HTML][HTML] Towards autonomous map** in agriculture: A review of supportive technologies for ground robotics

DT Fasiolo, L Scalera, E Maset, A Gasparetto - Robotics and Autonomous …, 2023‏ - Elsevier
This paper surveys the supportive technologies currently available for ground mobile robots
used for autonomous map** in agriculture. Unlike previous reviews, we describe state-of …

Development of an optimally designed real-time automatic citrus fruit grading–sorting​ machine leveraging computer vision-based adaptive deep learning model

SK Chakraborty, A Subeesh, K Dubey, D Jat… - … Applications of Artificial …, 2023‏ - Elsevier
Conventional automation approaches for postharvest operations are plagued by time and
data inefficiency seldom leading to suboptimal solutions. Automatic machines often require …

Real-time strawberry detection using deep neural networks on embedded system (rtsd-net): An edge AI application

Y Zhang, J Yu, Y Chen, W Yang, W Zhang… - Computers and Electronics …, 2022‏ - Elsevier
Computer vision is a key technique to make agricultural machinery smart. Deep neural
network has achieved great success in computer vision. How to use it at a small size, low …