Recent advancements in agriculture robots: Benefits and challenges

C Cheng, J Fu, H Su, L Ren - Machines, 2023‏ - mdpi.com
In the development of digital agriculture, agricultural robots play a unique role and confer
numerous advantages in farming production. From the invention of the first industrial robots …

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 …

Row detection BASED navigation and guidance for agricultural robots and autonomous vehicles in row-crop fields: Methods and applications

J Shi, Y Bai, Z Diao, J Zhou, X Yao, B Zhang - Agronomy, 2023‏ - mdpi.com
Crop row detection is one of the foundational and pivotal technologies of agricultural robots
and autonomous vehicles for navigation, guidance, path planning, and automated farming in …

Semantics for robotic map**, perception and interaction: A survey

S Garg, N Sünderhauf, F Dayoub… - … and Trends® in …, 2020‏ - nowpublishers.com
For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …

An extensive review on agricultural robots with a focus on their perception systems

A Thakur, S Venu, M Gurusamy - Computers and Electronics in Agriculture, 2023‏ - Elsevier
Agriculture represents an essential aspect of human existence, providing the sustenance
necessary for survival in the form of food and various other products. Additionally, it serves …

Field evaluation of path-planning algorithms for autonomous mobile robot in smart farms

J Pak, J Kim, Y Park, HI Son - IEEE access, 2022‏ - ieeexplore.ieee.org
Path planning is crucial for several applications, including those in industrial facilities,
network traffic, computer games, and agriculture. Enabling automated path-planning …

Field evaluations of a deep learning-based intelligent spraying robot with flow control for pear orchards

J Seol, J Kim, HI Son - Precision Agriculture, 2022‏ - Springer
This study proposes a deep learning-based real-time variable flow control system using the
segmentation of fruit trees in a pear orchard. The real-time flow rate control, undesired …

Agricultural Robot-Centered Recognition of Early-Developmental Pest Stage Based on Deep Learning: A Case Study on Fall Armyworm (Spodoptera frugiperda)

H Obasekore, M Fanni, SM Ahmed, V Parque, BY Kang - Sensors, 2023‏ - mdpi.com
Accurately detecting early developmental stages of insect pests (larvae) from off-the-shelf
stereo camera sensor data using deep learning holds several benefits for farmers, from …

Robust model-based reinforcement learning for autonomous greenhouse control

W Zhang, X Cao, Y Yao, Z An… - Asian Conference on …, 2021‏ - proceedings.mlr.press
Due to the high efficiency and less weather dependency, autonomous greenhouses provide
an ideal solution to meet the increasing demand for fresh food. However, managers are …

Citrus tree crown segmentation of orchard spraying robot based on RGB-D image and improved mask R-CNN

P Cong, J Zhou, S Li, K Lv, H Feng - Applied Sciences, 2022‏ - mdpi.com
Orchard spraying robots must visually obtain citrus tree crown growth information to meet the
variable growth-stage-based spraying requirements. However, the complex environments …