Field-Landing UAV Sensing for High-Fidelity Crop Data
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Solution Overview
Problem
Current methods for acquiring agricultural data using unmanned aerial vehicles (UAVs) are labor-intensive and limited in data fidelity due to the need for manual data collection and the challenges of capturing reliable data during flight, which can lead to reduced efficacy in precision farming.
Innovation Solution
A system and method where a UAV is controlled to land at predetermined data collection points within a field, equipped with sensing devices such as non-contact and contact sensors, and anchoring devices to capture field condition data and soil samples efficiently, allowing for more reliable and comprehensive data collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data is collected manually by farmworkers, then data fidelity is improved, but labor intensity increases
Solution Approach 1:
The system enables self-service data collection through automated UAV flight operations that navigate to predetermined points, automatically capture images, and transmit data without requiring manual farmworker intervention at each collection point
Solution Approach 2:
The patent replaces the mechanical manual labor system with an automated aerial robotic system that uses GPS navigation, automated imaging, and wireless transmission to collect and deliver field data without physical human presence at collection points
2Measurement precision
If expensive high-resolution equipment is used for in-flight data collection, then data quality is improved, but cost increases
Solution Approach 1:
The system uses inexpensive standard digital cameras mounted on UAVs instead of expensive specialized aerial imaging equipment, achieving sufficient data quality through post-processing techniques like image stitching and enhancement rather than relying on costly high-resolution sensors
Solution Approach 2:
The patent changes the operational parameters from requiring high-resolution sensors during flight to using standard cameras with post-flight image processing, transforming the data collection approach from quality-dependent hardware to process-dependent software solutions
3Productivity
If the number of data collection points is reduced to decrease labor intensity, then productivity is improved, but data fidelity deteriorates
Solution Approach 1:
The system transitions from ground-based data collection to aerial-based collection, enabling access to numerous predetermined field points that would be labor-intensive to reach manually, thereby increasing both the number of collection points and overall productivity simultaneously
Solution Approach 2:
The UAV system serves multiple functions including navigating to predetermined points, capturing images, storing data, and transmitting information, enabling comprehensive field coverage at multiple locations without proportionally increasing operational complexity
Data Source
AI summary
A method for acquiring agricultural data using a UAV is provided. In several embodiments, the method includes receiving data associated with a data collection point located within a field and controlling an operation of the UAV such that the UAV is flown over the field and lands in the field at the data collection point. In such an embodiment, the method includes capturing field condition data associated with the field using a sensing device supported by the UAV. The field condition data is captured by the sensing device while the UAV is maintained in a landed condition at the data collection point.