Agricultural Data Management Server for ROI Analysis
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Solution Overview
Problem
Agricultural processes are complex and lengthy, making it difficult for growers to efficiently explore, review, analyze, and manipulate cost and revenue data in real-time across multiple fields, which hinders effective return on investment (ROI) analysis and decision-making.
Innovation Solution
An agricultural data management server that enables real-time data visualization and analysis of financial and environmental data, allowing for interactive maps and ROI analysis at different geographical granularities, with the ability to request input of costs and revenues throughout the agricultural process, and providing recommendations based on ROI analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional data management methods are used for agricultural processes, then data can be recorded, but it becomes difficult to efficiently explore, review, analyze, and manipulate cost and revenue data in real-time across multiple fields
Solution Approach 1:
The system segments agricultural data into distinct layers including cost data, revenue data, and ROI analysis data. Each layer can be independently managed, visualized, and analyzed through separate graphical interfaces, allowing users to efficiently explore specific data types without being overwhelmed by the complexity of the entire dataset.
Solution Approach 2:
The patent introduces geographical dimensionality through interactive maps that display agricultural data across multiple fields. Users can visualize cost, revenue, and ROI data overlaid on geographical representations of fields, enabling spatial analysis and comparison across different locations simultaneously. This dimensional transformation converts complex tabular data into intuitive visual representations.
2Loss of information
If detailed cost and revenue data are collected across multiple fields and agricultural processes, then comprehensive ROI analysis becomes possible, but data management complexity increases
Solution Approach 1:
The system employs a universal data management platform that handles multiple types of agricultural data (cost, revenue, yield, environmental) through a single integrated interface. The same graphical user interface framework used for yield data visualization is also applied to cost and revenue data, providing consistent interaction patterns across different data types and reducing perceived complexity.
Solution Approach 2:
The patent introduces an intermediary ROI analysis layer that automatically processes and integrates raw cost and revenue data from multiple fields. This intermediary computation layer performs automated calculations, data aggregation, and synthesis, transforming complex raw data into simplified ROI metrics that are easier to interpret and act upon.
3Loss of time
If real-time analysis of agricultural data is enabled, then better decision-making can be achieved, but computational resources and processing time increase
Solution Approach 1:
The system performs preliminary data organization and structuring as data is initially collected from fields. Cost, revenue, and other agricultural data are pre-tagged, categorized, and structured in a standardized format during the data collection phase. This preliminary processing reduces the computational burden during subsequent real-time analysis by eliminating the need for extensive data cleaning and organization.
Data Source
AI summary
A computer-implemented method of managing data related to an agricultural process is disclosed. The computer-implemented method comprises causing display of a first interface including a first map of one or more agricultural fields and receiving a selection input, by a user, to the first map designating a boundary of a region of the one or more agricultural fields. The computer-implemented method then also includes, in response to the selection input, performing an analysis of one or more of a plurality of types of farming data specific to the region of the one or more agricultural fields having a plurality of components, and displaying a second interface, overlayed on the first interface of the first map of the one or more agricultural fields. The second interface indicates a first component of the plurality of components of the analysis specific to the region of the one or more agricultural fields.