Remote Sensor Monitoring for Agricultural Job Quality Control
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Solution Overview
Problem
Existing agricultural work machine sensors face challenges such as limited detection areas, obstructions, and increased expense and complexity due to on-board sensors, which hinder effective attribute detection and control.
Innovation Solution
Utilizing drones equipped with sensor systems that can be remotely positioned and adjusted to detect various attributes, overcoming obstructions and providing sensor data for work machine control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If on-board sensors are used on the agricultural work machine, then detection can be performed at the worksite, but the detection area is limited and obstructions occur
Solution Approach 1:
A remotely positionable sensor system is introduced as an intermediary between the agricultural work machine and the worksite environment. The sensor system can be positioned remotely from the work machine, allowing it to detect job quality attributes without being constrained by the machine's physical structure or subject to obstructions that would block on-board sensors.
2Reliability
If on-board sensors are used on the agricultural work machine, then attribute detection is integrated with the machine, but expense and complexity increase
Solution Approach 1:
The sensor system is extracted from the agricultural work machine itself and positioned remotely. This separation allows the sensor system to be independently configurable and managed, reducing the complexity burden on the work machine while maintaining reliable attribute detection capability. The sensor system can be adjusted and positioned without modifying the work machine's core structure.
3Speed
If on-board sensors are used on the agricultural work machine, then real-time monitoring is possible, but the sensors are subject to machine vibrations and environmental exposure
Solution Approach 1:
The remotely positionable sensor system acts as an intermediary that can monitor job quality attributes in real-time without being physically attached to the vibrating work machine. This separation maintains the speed of monitoring while improving sensor stability by placing sensors in a more stable, remotely positionable platform that is less susceptible to machine vibrations and harsh environmental exposure.
Data Source
AI summary
An agricultural system includes: a sensor system communicably coupled to and remotely positionable from an agricultural work machine at a worksite, the sensor system configured to detect one or more job quality attributes in a measurement area at least partially behind the agricultural work machine, relative to a travel direction of the agricultural work machine, and generate sensor data indicative of the detected one or more job quality attributes; one or more processors; and memory storing instructions, executable by the one or more processors. The instructions, when executed by the one or more processors, cause the one or more processors to: obtain the sensor data indicative of the detected one or more one or more job quality attributes; determine job quality corresponding to the agricultural work machine based on the obtained sensor data; and generate a control signal based on the determined job quality.