Assessing the potential of integrating automation and artificial intelligence across sample-destructive methods to determine plant water status: A review and score …
Sample-destructive methods for the determination of plant water status have been the
primary reference for various agronomic practices over the years. Several recent …
primary reference for various agronomic practices over the years. Several recent …
Online exploration and coverage planning in unknown obstacle-cluttered environments
Online coverage planning can be useful in applications like field monitoring and search and
rescue. Without prior information of the environment, achieving resolution-complete …
rescue. Without prior information of the environment, achieving resolution-complete …
Task planning on stochastic aisle graphs for precision agriculture
This work addresses task planning under uncertainty for precision agriculture applications
whereby task costs are uncertain and the gain of completing a task is proportional to …
whereby task costs are uncertain and the gain of completing a task is proportional to …
Robotic assessment of a crop's need for watering: Automating a time-consuming task to support sustainable agriculture
A Dechemi, D Chatziparaschis, J Chen… - IEEE Robotics & …, 2023 - ieeexplore.ieee.org
Agricultural robotics and automation technology plays an increasingly critical role across
several crop production stages to improve sustainability (eg, water use optimization) …
several crop production stages to improve sustainability (eg, water use optimization) …
Complete coverage problem of multiple robots with different velocities
L Li, D Shi, S Jin, Y Kang, C Xue… - International …, 2022 - journals.sagepub.com
Complete coverage, which is integral to many robotic applications, aims to cover an area as
quickly as possible. In such tasks, employing multiple robots can reduce the overall …
quickly as possible. In such tasks, employing multiple robots can reduce the overall …
Multirobot Coverage Path Planning Based on Deep Q‐Network in Unknown Environment
W Li, T Zhao, S Dian - Journal of Robotics, 2022 - Wiley Online Library
Aiming at the problems of security, high repetition rate, and many restrictions of multirobot
coverage path planning (MCPP) in an unknown environment, Deep Q‐Network (DQN) is …
coverage path planning (MCPP) in an unknown environment, Deep Q‐Network (DQN) is …
A Multi-Robot Coverage Path Planning Method Based On Genetic Algorithm
WH Li, T Zhao, SY Dian - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Multi-robot coverage path planning has important application values, while there are few
research achievements. The difficulty lies in is how to allocate tasks reasonably. This paper …
research achievements. The difficulty lies in is how to allocate tasks reasonably. This paper …
[PDF][PDF] Robotic Assessment of a Crop's Need for Watering
Agricultural robotics and automation technology play an increasingly critical role across
several crop production stages to improve sustainability (eg, water use optimization) …
several crop production stages to improve sustainability (eg, water use optimization) …