Crop Rotation Demand Estimation Using Historic Satellite Data
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Solution Overview
Problem
Existing methods for estimating agricultural product consumption in a geographical region are inaccurate and often lead to overproduction or supply bottlenecks, necessitating a more precise and early estimation of demand.
Innovation Solution
A computer-implemented method using historic satellite imaging data to determine crop classification and rotation patterns, combined with a product consumption model, to estimate agricultural product demand based on future crop data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If consumption estimation is based on manufacturer experience, then the estimation process is simple, but the accuracy of consumption estimation deteriorates
Solution Approach 1:
The patent replaces manual experience-based estimation with an automated computer-implemented method that uses satellite imaging data, crop rotation models, and consumption models to objectively determine agricultural product consumption requirements, thereby improving accuracy while managing complexity through systematic data processing
Solution Approach 2:
The patent introduces satellite imaging data and computational models as intermediaries between raw agricultural data and consumption estimation, enabling accurate prediction of crop areas and subsequent product consumption without direct manual intervention, thus resolving the contradiction between accuracy and complexity
2Loss of time
If consumption estimation is delayed, then data collection is easier, but the lead time for production and transportation planning deteriorates
Solution Approach 1:
The patent performs consumption estimation in advance by analyzing satellite imaging data from previous growing seasons and using crop rotation models to predict future crop areas, enabling production and transportation planning to be initiated earlier while maintaining accuracy through systematic data analysis
Solution Approach 2:
The patent uses dynamic satellite imaging data that captures changing crop conditions over time, allowing the estimation system to adapt to varying agricultural conditions and provide accurate predictions at different stages of the growing season, thus enabling early planning without sacrificing precision
3Reliability
If estimated quantity deviates from actual requirement, then planning flexibility is maintained, but overproduction costs and supply bottlenecks increase
Solution Approach 1:
The patent incorporates feedback mechanisms by comparing satellite-derived crop area data with actual consumption patterns, continuously refining the consumption models to improve prediction accuracy, thereby reducing both overproduction waste and supply bottlenecks through data-driven adjustments
Solution Approach 2:
The patent changes key parameters such as crop area measurements from satellite data and integrates them into consumption models, allowing dynamic adjustment of production planning based on actual agricultural conditions, thus improving supply reliability while minimizing waste from inaccurate estimations
Data Source
AI summary
The invention relates to a computer-implemented method for estimating a consumption of an agricultural product for a geographical region by using, among other elements, historic satellite imaging data for the geographical region and a crop rotation model for classifying crop rotation patterns in the geographic region; it also relates to the use of historic satellite imaging data for a geographical region in such a method; a system for estimating a consumption of an agricultural product for a geographical region, the system being configured to carry out said method; a computer program element with instructions, which when executed on one or more computing node(s) is configured to carry out the steps of said method; and a computer-readable medium having stored the computer program element.