Development and Laboratory Evaluation of an Online Controlling Algorithm for Precision Tillage

Area of Science:

• Agricultural Engineering
• Soil Science
• Precision Agriculture

Background:

• Soil compaction management often requires expensive annual deep tillage operations.
• Variable-depth tillage offers a site-specific approach to modify soil physical properties for optimal crop growth.
• Current methods lack precise, automated control for adjusting tillage depth based on real-time soil conditions.

Purpose of the Study:

• To design and evaluate an automated depth control system for subsoiler tillage.
• To develop an algorithm for investigating subsoiler location and soil compaction.
• To implement a system for site-specific tillage depth adjustment.

Main Methods:

• A depth control system for subsoiler tillage was designed and implemented using Kinco Builder Software.
• An algorithm was developed to analyze subsoiler location and soil compaction data.
• Four compression sensors (10 cm spacing, up to 40 cm depth) on the subsoiler blade provided input data.
• Sensor data was compared against a 2.07 MPa pressure baseline limit to determine optimal subsoiler depth.

Main Results:

• The developed system successfully controlled the subsoiler depth using tractor hydraulics and position sensors.
• The system demonstrated functionality across single, collective, and combined sensor activation modes.
• Automated depth adjustment was achieved based on real-time soil compaction measurements.

Conclusions:

• The designed depth control system offers a viable solution for variable-depth tillage.
• This technology can potentially reduce the costs and environmental impact of soil compaction management.
• Site-specific tillage enabled by this system can improve soil physical properties for enhanced crop production.