Computer Vision-Based Guidance Assistance Concept for Plowing Using RGB-D Camera
This addresses the issue of inefficient plowing operations for farmers, but it appears incremental as it presents only a first concept without demonstrated performance gains.
The paper tackled the problem of improving plowing accuracy and reducing driver cognitive burden in agricultural vehicles by developing a furrow detection system using an RGB-D camera, but no concrete results or numbers are provided.
This paper proposes a concept of computer vision-based guidance assistance for agricultural vehicles to increase the accuracy in plowing and reduce driver's cognitive burden in long-lasting tillage operations. Plowing is a common agricultural practice to prepare the soil for planting in many countries and it can take place both in the spring and the fall. Since plowing operation requires high traction forces, it causes increased energy consumption. Moreover, longer operation time due to unnecessary maneuvers leads to higher fuel consumption. To provide necessary information for the driver and the control unit of the tractor, a first concept of furrow detection system based on an RGB-D camera was developed.