Vision Guided Crop Detection in Field Robots using FPGA-Based Reconfigurable Computers

Author(s):  
Cyrus Wing-Hei Chan ◽  
Philip H. W. Leong ◽  
Hayden Kwok-Hay So
Agriculture ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 216
Author(s):  
Friedrich Rübcke von Veltheim ◽  
Heinke Heise

Agricultural production methods in Europe are increasingly subject to public criticism from which many farmers suffer. This applies, among other areas, to the widespread use of pesticides. Autonomous field robots (AFR), as the next stage of agricultural automation, have the potential to farm more intensively and, at the same time, in a more environmentally friendly way. However, a certain skepticism towards autonomous systems is suspected among farmers. Whether farmers adopt a technology depends largely on their uncertainty about the consequences of its use and the resulting attitude on the adoption. In order to quantify the attitude on adopting AFR in Germany and to identify possible group differences within the population, 490 German farmers were surveyed using an online questionnaire, which is based on an extended version of the Unified Theory of Acceptance and Use of Technology (UTAUT). In the subsequent cluster analysis, the statements inquiring the intention to use AFR served as cluster-forming variables. As a result, three groups (“open-minded AFR supporters”, “convinced AFR adopters”, “reserved AFR interested”) could be identified according to their response behavior. Despite existing group differences, an overall attitude in favor of autonomous field robots was observed. The results complement the existing research with a further empirical study and provide interesting starting points for further analysis, field robot manufacturers, and political decision makers.


Robotics ◽  
2014 ◽  
Vol 3 (2) ◽  
pp. 207-234 ◽  
Author(s):  
Kjeld Jensen ◽  
Morten Larsen ◽  
Søren Nielsen ◽  
Leon Larsen ◽  
Kent Olsen ◽  
...  

Agriculture ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 954
Author(s):  
Abhijeet Ravankar ◽  
Ankit A. Ravankar ◽  
Arpit Rawankar ◽  
Yohei Hoshino

In recent years, autonomous robots have extensively been used to automate several vineyard tasks. Autonomous navigation is an indispensable component of such field robots. Autonomous and safe navigation has been well studied in indoor environments and many algorithms have been proposed. However, unlike structured indoor environments, vineyards pose special challenges for robot navigation. Particularly, safe robot navigation is crucial to avoid damaging the grapes. In this regard, we propose an algorithm that enables autonomous and safe robot navigation in vineyards. The proposed algorithm relies on data from a Lidar sensor and does not require a GPS. In addition, the proposed algorithm can avoid dynamic obstacles in the vineyard while smoothing the robot’s trajectories. The curvature of the trajectories can be controlled, keeping a safe distance from both the crop and the dynamic obstacles. We have tested the algorithm in both a simulation and with robots in an actual vineyard. The results show that the robot can safely navigate the lanes of the vineyard and smoothly avoid dynamic obstacles such as moving people without abruptly stopping or executing sharp turns. The algorithm performs in real-time and can easily be integrated into robots deployed in vineyards.


2012 ◽  
Vol 29 (5) ◽  
pp. 687-688 ◽  
Author(s):  
Ani Hsieh ◽  
Simon Lacroix
Keyword(s):  

Author(s):  
I.I. Levin ◽  
A. M. Fedorov ◽  
Y. I. Doronchenko ◽  
M.K. Raskladkin

Author(s):  
C. Mavroidis ◽  
C. Pfeiffer ◽  
J. Celestino ◽  
Y. Bar-Cohen

Abstract In this project, Rutgers University has teamed with the Jet Propulsion Laboratory (JPL) to pursue the development and demonstration of a novel haptic interfacing capability called MEMICA (remote MEchanical MIrroring using Controlled stiffness and Actuators). MEMICA is intended to provide human operators intuitive and interactive feeling of the stiffness and forces at remote or virtual sites in support of space, medical, underwater, virtual reality, military and field robots performing dexterous manipulation operations. The key aspect of the MEMICA system is a miniature Electrically Controlled Stiffness (ECS) element that mirrors the stiffness at remote/virtual sites. The ECS elements make use of Electro-Rheological Fluid (ERF), which is an Electro-Active Polymer (EAP), to achieve this feeling of stiffness. Forces applied at the robot end-effector due to a compliant environment will be reflected to the user by this ERF device where a change in the system viscosity will occur proportionally to the force to be transmitted. This paper describes the analytical modeling and experiments that are currently underway to develop an ERF based force feedback element.


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