| Investigating to route and guide self-driving agricultural machines inside of the farm |
| Paper ID : 1214-NICAME1402 |
| Authors: |
|
Vali Rasooli Sharabiani *1, Nader Alipour2, Gholamhossein Shahgholi3, Somayeh Nuorzadeh4, Mohammad Baqer Safari5 1University of Mohaghergh Ardabili 2Department of Biosystem Engineering, Faculty of Agriculture and Natural Resources, Mohaghegh Ardabili University, Ardabil, Iran 3Department of Biosystems Engineering, University of Mohaghegh Ardabili, Ardabil, Iran 4Department of Biosystem Engineering, University of Mohaghegh Ardabili, Ardabil, Iran 51Department of Biosystem Engineering, University of Mohaghegh Ardabili, Ardabil, Iran |
| Abstract: |
| The rapid development of computers and electronics and the subsequent birth of agricultural robotics have led to the emergence of new vehicles that will coexist with conventional equipment. Intelligent robots in-farm using a variety of sensors are different from conventional agricultural machines in terms of sensory and action elements, and can respond to environmental changes effectively through the combination of information. Planning to travel and use smart agricultural tools in fields is often a big challenge that should be taken into account due to the correct implementation of agricultural operations as well as the reduction of damage to the crop. The intelligence of agricultural vehicles can be started with self-driving tractors and combines used in farms. An autonomous tractor in the field must be able to perform multiple navigation modes in a field to be successful in a field operation. Navigation and steering of a vehicle includes the methods of steering the front wheels, measuring the vehicle's forward speed, measuring the vehicle's acceleration, and detecting obstacles and avoiding collisions. |
| Keywords: |
| Robot; Navigation; Farm; Obstacles; GNSS; |
| Status : Paper Accepted (Poster Presentation) |
