Cloud Carbon Footprint Evaluation Platform for Field-Level Granularity
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Solution Overview
Problem
Current systems lack the ability to accurately determine the carbon footprint of products at a field level granularity, failing to provide detailed environmental impact assessments that could inform sustainable practices and consumer choices.
Innovation Solution
A cloud-based evaluation platform that calculates carbon footprints by analyzing field-specific data, including management practices and physical attributes, to generate precise carbon emission and sequestration values, enabling granular carbon footprint determination and suggesting improvements for entities and consumers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current systems are used to determine carbon footprint, then the process is simple, but the measurement precision is insufficient and cannot provide field level granularity
Solution Approach 1:
The patent segments the carbon footprint evaluation into multiple hierarchical levels: entity level (farm, facility), field level (individual fields within farms), and product level (specific crops). This segmentation enables precise measurement at field level granularity while organizing the complex evaluation process into manageable components through the multi-level evaluation platform.
Solution Approach 2:
The patent introduces an intermediary evaluation platform that acts as a mediator between raw data sources (sensors, databases, user inputs) and the final carbon footprint calculations. This platform processes, validates, and integrates data from multiple sources before computing carbon footprints, thereby improving measurement precision while managing system complexity through a centralized processing layer.
2Measurement precision
If detailed field level data is collected, then the carbon footprint determination accuracy improves, but the data collection and processing complexity increases
Solution Approach 1:
The evaluation platform is designed as a universal system that can handle multiple data types (sensor data, database records, user inputs) and serve multiple functions (data validation, integration, processing, and carbon footprint calculation). This multi-functionality reduces the difficulty of data collection by providing a single platform that manages diverse data sources and processing requirements.
Solution Approach 2:
The patent implements preliminary data validation and processing steps before the actual carbon footprint calculation. The evaluation platform pre-processes incoming data, validates its quality, and organizes it according to the multi-level hierarchy. This preliminary action ensures that only high-quality, properly formatted data is used in calculations, improving accuracy while reducing the complexity of handling raw data during the main computation process.
3Adaptability or versatility
If carbon footprint evaluation is performed at entity level only, then the process is straightforward, but the adaptability to provide detailed field level insights is limited
Solution Approach 1:
The evaluation platform implements dynamic adaptability where the level of evaluation granularity can be adjusted based on user needs. The system can operate at entity level, field level, or product level, or any combination thereof. This dynamic capability allows the same platform to serve different users with different requirements without requiring separate systems, thereby improving adaptability while managing complexity through a unified dynamic architecture.
Data Source
AI summary
Techniques are provided for evaluating a product, during any point in its lifecycle, based on at least a determined carbon footprint and/or a determined authenticity. Specifically, a carbon footprint at a field level granularity can be determined based on input characteristics of a farm, field, product, etc. Advantageously, the carbon footprint can be determined for different fields that are geographically close to each other. The determined carbon footprint may be utilized to modify one or practices at the field level. As such, the carbon footprint at the field level can be improved. Additionally, the determined carbon footprint and other relevant criteria related may be utilized to generate a customer product score that can be utilized by a consumer to make informed purchasing decisions.