Field Management Zone Delineation for Variable-Rate Planting
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Solution Overview
Problem
Current agricultural management systems lack efficient methods to identify and manage contiguous regions within fields with similar yield-influencing factors, leading to suboptimal crop management practices and reduced productivity.
Innovation Solution
A computer-based system that utilizes digital map data and pipelined processing to delineate management zones within agricultural fields, integrating yield data, soil characteristics, topography, and satellite data to generate customized planting plans and recommendations for uniform management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional uniform field management is used, then operational simplicity is maintained, but crop yields and productivity are reduced
Solution Approach 1:
The patent divides the agricultural field into multiple management zones based on yield data, soil characteristics, topography, and satellite imagery. Each zone is identified with unique characteristics that influence crop productivity, allowing differentiated management strategies for different regions within the same field
Solution Approach 2:
The system implements localized management practices tailored to each management zone's specific characteristics. Different seeding rates, irrigation schedules, and fertilizer applications are applied to different zones based on their individual yield potential and limiting factors
2Productivity
If detailed field analysis and customization is implemented, then productivity and yields are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system performs preliminary data collection and analysis by integrating yield data from harvesters, soil characteristics from sampling, topography from elevation data, and satellite imagery before the planting season. This advance preparation allows management zones to be identified and planting plans to be generated beforehand
Solution Approach 2:
The system integrates multiple data sources and performs multiple functions through a unified platform. It combines yield analysis, soil assessment, topography evaluation, and satellite imagery processing to generate comprehensive management zone delineation and planting recommendations in a single integrated system
3Measurement precision
If management zones are identified and customized planting plans are generated, then crop management precision is improved, but time and computational resources are consumed
Solution Approach 1:
The system replaces manual field analysis and management zone identification with automated computational processing. Algorithms analyze integrated data from multiple sources to automatically delineate management zones and generate planting plans, eliminating the need for manual surveying and analysis
Data Source
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AI summary
In an embodiment, yield data representing yields of crops that have been harvested from an agricultural field and field characteristics data representing characteristics of the agricultural field is received and used to determine a plurality of management zone delineation options. Each option, of the plurality of management zone delineation options, comprises zone layout data for an option. The plurality of management zone delineation options is determined by: determining a plurality of count values for a management class count; generating, for each count value, a management delineation option by clustering the yield data from and the field characteristics data, assigning zones to clusters, and including the zones in a management zone delineation option. One or more options from the plurality of management zone delineation options are selected and used to determine one or more planting plans. A graphical representation of the options and the planting plans is displayed for a user.