Sowing Parameter Control Using Adjacent Field Location Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for optimizing sowing parameters in agriculture, such as seed depth and spacing, fail to account for the impact of adjacent locations, leading to uneven plant growth and resource competition among plants, resulting in reduced yields and crop quality.
Innovation Solution
A method using a computer unit to calculate and adjust sowing parameters based on plant growth affecting properties and operating parameters from adjacent locations, ensuring uniform plant emergence and growth by considering soil conditions, seed varieties, and fertilizer application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sowing parameters are optimized based only on local data without considering adjacent locations, then the control system is simple and fast, but plant growth becomes uneven and resource competition increases
Solution Approach 1:
The patent applies local quality by optimizing sowing parameters for each specific location based on its unique characteristics (soil type, moisture, topology) while also considering the characteristics of adjacent locations. This ensures that each area receives tailored treatment to achieve uniform plant growth across the entire field, preventing resource competition between plants in different locations.
Solution Approach 2:
The patent uses preliminary action by obtaining and analyzing data from adjacent locations before making sowing decisions for a given location. The electronic map is created in advance with optimized parameters for all locations, allowing the control system to anticipate and prepare for uniform plant growth patterns across the field before the sowing operation begins.
2Reliability
If sowing depth is increased to improve seed establishment, then seed survival improves, but energy consumption increases and plant emergence uniformity decreases
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting sowing depth based on local soil conditions (soil type, moisture content, topology) obtained from sensors and electronic maps. Instead of using a fixed sowing depth, the system modifies this parameter in real-time to optimize seed establishment while minimizing energy consumption, ensuring seeds are placed at the optimal depth for each specific location.
3Productivity
If sowing depth is varied to adapt to different soil conditions, then plant growth optimization improves, but emergence uniformity decreases
Solution Approach 1:
The patent resolves this contradiction by applying local quality - each location receives a customized sowing depth optimized for its specific soil conditions, while the system simultaneously considers adjacent locations to ensure the variations create complementary growth patterns rather than disruptive ones. This localized optimization with spatial context maintains emergence uniformity while adapting to soil variability.
Solution Approach 2:
The system uses feedback from sensors that measure soil properties (moisture, temperature, topology) and from the electronic map data to continuously adjust sowing parameters. This feedback loop ensures that depth variations are made only when necessary and are coordinated across adjacent locations to maintain overall emergence uniformity while optimizing plant growth.
Data Source
AI summary
A computer unit calculates an operating parameter for a machine for application of agricultural material to a field using data concerning a plant growth affecting property of the location to be supplied with the material and data concerning the property and/or an operating parameter of the machine derived therefrom for an adjacent location in the field in the sense of an optimization of a horticultural result.