Soil Parameter Mapping for Selective Treatment of Field Compaction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for determining soil properties and reducing soil compaction in agricultural fields lack precision and efficiency, often leading to uneven treatment and resource wastage.
Innovation Solution
A computer-implemented method using soil parameter data to generate a soil parameter map, which guides the operation of agricultural machines to selectively till areas with high soil compaction, thereby reducing compaction and optimizing resource use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional uniform soil treatment methods are used across the entire field, then操作简单性 is maintained, but soil health improvement is uneven and resource consumption increases
Solution Approach 1:
The patent applies local quality by creating variable rate treatment zones based on measured soil compaction levels. Different sections of the field receive different treatment intensities - heavily compacted areas receive more intensive tillage while well-drained areas receive minimal or no treatment. This is achieved through real-time soil property measurement and automated machine control that adjusts treatment parameters spatially, improving soil health precision while reducing unnecessary resource consumption in already healthy areas.
2Manufacturing precision
If traditional uniform soil treatment methods are used across the entire field, then设备复杂性 is kept low, but treatment effectiveness decreases
Solution Approach 1:
The patent replaces traditional mechanical soil assessment methods with sensor-based detection systems. Electrical conductivity sensors, moisture sensors, and other electronic measurement devices detect soil properties in real-time, replacing manual soil sampling and physical assessment. This substitution of mechanical/manual methods with electronic sensing and automated control systems enables precise treatment effectiveness while managing system complexity through integration and automation.
Solution Approach 2:
The system applies self-service by enabling the agricultural machine to automatically adjust its operation based on real-time soil feedback. The machine measures soil properties, processes the data, and autonomously modifies treatment parameters without continuous human intervention. This automated closed-loop control improves treatment effectiveness while reducing the operational complexity burden on the user.
3Measurement precision
If soil measurement is performed continuously, then measurement precision is improved, but time consumption and operational complexity increase
Solution Approach 1:
The patent implements continuous soil measurement during machine operation, eliminating the need for separate pre-treatment soil sampling campaigns. Sensors mounted on the agricultural machine continuously measure soil electrical conductivity, moisture content, and other parameters as the machine moves through the field. This continuous measurement approach maintains high measurement precision while eliminating time losses associated with discrete sampling events and enables real-time treatment adjustments.
Data Source
AI summary
Systems, methods, and devices for receiving soil parameter data of a worksite and identifying one or more locations of the worksite for treatment based on the received soil parameter data are disclosed. In some implementations, the soil parameter data include thermal latency data. Soil compaction data of the worksite may be derived from the thermal latency data. A soil parameter map of the worksite may be generated based on the received soil parameter data, and a plan of action, such as identifying one or more locations to perform a soil treatment operation, may be determined based on the soil parameter map.