Crop Carbon Footprint Evaluation Using Historical Data Models
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Solution Overview
Problem
Existing crop carbon footprint evaluation methods require significant manpower and material resources, leading to smaller monitoring areas, fewer monitoring points, and shorter periods, making them inefficient and inaccurate for reflecting true carbon footprint characteristics and limiting the development of effective carbon footprint reduction strategies.
Innovation Solution
A method and system for evaluating crop carbon footprint that utilizes historical data to predict carbon emissions at various stages, applying adjustment factors and models to calculate total carbon emissions, and determine targeted strategies for reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If field trial methods with monitoring apparatuses are used to directly monitor greenhouse gas emissions and soil organic carbon, then measurement precision is improved, but device complexity and resource consumption increase significantly
Solution Approach 1:
The patent uses remote sensing technology to create optical copies or proxies of the physical monitoring process. Instead of deploying complex physical sensors in fields, the system uses satellite or aerial imagery to capture spectral signatures that correlate with carbon emissions and soil properties, providing measurement precision through data modeling rather than direct physical measurement
Solution Approach 2:
The patent replaces mechanical/physical monitoring apparatuses with electromagnetic radiation-based remote sensing systems. The system substitutes direct physical contact sensors with optical, thermal, or microwave remote sensing that can detect carbon footprint indicators from a distance, thereby reducing device complexity while maintaining measurement capability
2Measurement precision
If field trial methods with monitoring apparatuses are deployed, then measurement precision is improved, but the monitoring area and coverage are reduced
Solution Approach 1:
The patent transitions from ground-based point monitoring to aerial or satellite-based areal monitoring. By moving the sensing platform to another dimension (air or space), the system can cover large geographic areas simultaneously while maintaining measurement precision through spectral analysis of vegetation and soil characteristics across the entire monitored region
3Measurement precision
If field trial methods with monitoring apparatuses are used, then measurement precision is improved, but the monitoring period is shortened
Solution Approach 1:
The patent implements periodic remote sensing passes over the same agricultural areas at different times during the growing season. This allows the system to track changes in carbon footprint indicators over extended periods by analyzing temporal variations in spectral data, providing both precision and long-term monitoring capability without the constraints of physical apparatus deployment duration
Data Source
AI summary
A crop carbon footprint evaluation method including: acquiring historical data of crops to be evaluated at a production stage and a planting stage; determining a first carbon emission, a second carbon emission, and a third carbon emission of the crops to be evaluated per unit planting area based on the historical data; determining a first adjustment factor and a second adjustment factor by predicting a carbon emission characteristic model; acquiring a planting area of the crops to be evaluated, and determining a first total carbon emission of seeds of the crops to be evaluated based on the planting area, the first carbon emission, the second carbon emission, the first adjustment factor and the second adjustment factor; determining a second total carbon emission after the crops to be evaluated grow; determining a target strategy for reducing carbon footprint for the crops to be evaluated.