Agricultural Field Identification System Using Geo-Referenced Data
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Solution Overview
Problem
Operators of agricultural machines face difficulties in timely and accurate analysis of data and maps provided by display monitors, particularly in identifying already planted or harvested regions, leading to inefficient field operations.
Innovation Solution
A system and method that automatically identifies agricultural fields and tasks using geo-referenced boundaries, processing raw data from sensors and location components, and transmitting this information to a display device for generating maps and task identification, allowing for real-time monitoring and correction of field and task identifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If operators manually analyze data and maps from display monitors, then they can review information, but the analysis is not timely and accurate enough for efficient field operations
Solution Approach 1:
The system automatically performs field identification and task recognition in advance before operators need to review the data. The processing system continuously monitors raw data from sensors and location components, pre-identifies fields and tasks, and prepares coverage maps so that when operators review the information, the analysis is already complete and ready for immediate use during field operations.
2Measurement precision
If operators manually identify fields and tasks from raw data, then they can review information, but the identification is not timely enough for real-time field operations
Solution Approach 1:
The processing system performs self-service by automatically analyzing raw data, identifying fields and tasks, and generating coverage maps without requiring operator intervention. The system monitors sensor data and location components continuously, autonomously determines field boundaries and task types, and prepares the information for display, eliminating the time delay between data collection and analysis completion.
3Ease of operation
If operators are in the field reviewing data at the location, then they can analyze information timely, but they cannot correct data at a later time separate from field location
Solution Approach 1:
The system adds a temporal dimension to data review and correction by enabling operators to access, review, and correct field identification data at any time and in any location separate from the field operations. The processed agricultural data, including field boundaries, task identification, and coverage maps, is stored and made available through the display device for asynchronous review and correction, allowing operators to work at their own pace and location.
Data Source
AI summary
Described herein are a system and methods for identifying fields and tasks (e.g., agricultural fields and tasks). In one embodiment, system includes a display device to display a representation of one or more agricultural fields with geo-referenced boundaries and to receive one or more inputs for identifying at least one agricultural field with agricultural field identification information. A processing system is communicatively coupled to the display device. The processing system is configured to automatically transmit raw data including measurement data and location component data to the display device in response to a machine or an implement starting and to automatically identify location component data of the raw data. The processing system is further configured to automatically assign raw data to at least one agricultural field.