Georeferenced Agricultural Data Display for Precise Field Decisions

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Solution Overview

Problem

Farmers face challenges in making precise and efficient agricultural decisions due to cumbersome, time-consuming, and error-prone information gathering from various sources, which consumes significant processing and memory resources, rendering the process imprecise and inefficient.

Innovation Solution

A system that preprocesses and stores georeferenced agricultural data, displaying it in augmented reality to enhance objects with computer-generated perceptual information, allowing for real-time diagnostic and prognostic analysis and automated control of agricultural machinery.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional manual information gathering methods are used for agricultural decisions, then farmers can access data from various sources, but the process becomes time-consuming and error-prone

Engineering Contradiction:

Improvedecision accuracyVSAvoidtime for information gathering

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical information gathering with automated optical and electronic systems. Mobile devices capture images of crops and fields, while drones provide aerial views. These automated systems process and transmit data to generate augmented reality overlays, eliminating manual measurement and data collection while improving decision accuracy through precise, objective data capture.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an intermediary processing system that acts as a mediator between raw agricultural data and farmer decisions. This intermediary layer processes images from mobile devices and drones, compares them with historical data and predictions, and generates augmented reality overlays. This intermediary system automates the information transformation process, reducing time loss while maintaining high measurement precision through computational analysis.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If comprehensive agricultural data is collected from multiple sources, then decision-making becomes more informed, but processing and memory resources are consumed excessively

Engineering Contradiction:

Improvedecision reliabilityVSAvoidprocessing resource consumption

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts and isolates only the critical information needed for decision-making from comprehensive agricultural datasets. The system processes images to identify specific features (crop health, pest presence, growth stages) and extracts relevant parameters (NDVI values, biomass estimates, yield predictions). By extracting only essential data elements rather than processing all available data, the system maintains high decision reliability while reducing processing resource consumption.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments the agricultural data processing system into specialized functional modules: image capture modules for different crop types, analysis modules for specific parameters (health, growth, pest detection), and presentation modules for different user needs. This segmentation allows the system to handle comprehensive data through organized, manageable processing stages, reducing overall system complexity while maintaining comprehensive data analysis capability.

Inventive Principle:

Principle #1Segmentation

3Speed

If real-time data processing is implemented for agricultural monitoring, then responsiveness improves, but computational overhead increases

Engineering Contradiction:

Improvedata processing speedVSAvoidcomputational overhead

Core Design Contradiction:

SpeedVSUse of energy by moving object

Solution Approach 1:

The patent performs preliminary actions by pre-processing and storing historical agricultural data, crop models, and environmental parameters in advance. The system pre-calculates growth predictions, establishes baseline conditions, and prepares reference datasets. When real-time monitoring occurs, the system compares current data against these pre-prepared references, significantly reducing real-time computational requirements while maintaining fast response speeds.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent applies partial action by processing only the most critical data parameters in real-time rather than all possible measurements. The system focuses computational resources on key indicators (crop health indices, pest detection, yield predictions) while using simpler processing for routine monitoring. This selective real-time processing approach maintains necessary responsiveness while reducing overall computational overhead.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12439840B2Obtaining and augmenting agricultural data and generating an augmented display

Publication Date: 2025.10.14 DEERE & CO

AI summary

A geographic position of an agricultural machine is captured. Agricultural data is received that corresponds to a geographic position. Georeferenced visual indicia are displayed that are indicative of the received agricultural data.