Prescription Map for Tillage Based on Soil Compaction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current tillage systems lack an accurate method to optimize the penetration depth of ground-engaging tools based on soil compaction, leading to undesirable yield losses.
Innovation Solution
A system and method that generates a prescription map by receiving soil compaction parameters, determining soil compaction levels, estimating yield loss, and actively adjusting tillage parameters, such as penetration depth, to minimize yield loss during tillage operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional tillage systems use predetermined penetration depth, then the implement structure is simple and easy to operate, but yield loss occurs due to inability to optimize based on soil compaction
Solution Approach 1:
The system performs preliminary assessment of soil compaction levels and generates a prescription map before tillage operations begin. This advance planning allows the tillage implement to optimize penetration depth at each location based on pre-determined soil conditions, thereby maximizing yield potential without requiring complex real-time adjustments during operation.
Solution Approach 2:
The tillage system transitions from fixed predetermined penetration depth to dynamic, location-specific penetration depths based on soil compaction levels. The prescription map enables the implement to vary tillage parameters across different field zones, optimizing each area's yield potential while maintaining manageable system complexity through pre-calculated guidance.
2Productivity
If soil compaction is not properly addressed, then tillage operations are simple, but yield losses occur due to compaction
Solution Approach 1:
The prescription map serves as an intermediary between soil compaction assessment and tillage execution. It translates complex soil compaction data into simplified location-specific penetration depth recommendations, allowing operators to address yield-critical compaction issues without requiring complex real-time decision-making during tillage operations.
3Reliability
If penetration depth is increased to reduce compaction, then soil tilling effectiveness improves, but energy consumption and equipment stress increase
Solution Approach 1:
The system applies local quality by varying penetration depth according to location-specific soil compaction levels rather than using uniform depth across the entire field. This allows the implement to apply increased penetration depth only where compaction is severe and yield loss is critical, while using shallower depths in already-adequate areas, thereby optimizing energy consumption and reducing unnecessary equipment stress.
Data Source
AI summary
A method for controlling a work vehicle towing an agricultural implement across a field during a tillage operation includes receiving one or more soil compaction parameters of the field, the work vehicle, and/or the implement. The method also includes determining one or more soil compaction levels for the field based on the one or more soil compaction parameters. Further, the method includes determining an estimated yield loss for each location in the field based on the one or more soil compaction levels. Moreover, the method includes generating a prescription map for the field based on the estimated yield loss for each location in the field. In addition, the method includes actively adjusting at least one tillage parameter of at least one of the implement or the work vehicle based on the prescription map during the tillage operation to reduce an actual yield loss of the field.