Fruit Yield Prediction Using 3D Laser Scanners and Thermal Imaging
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Solution Overview
Problem
Current methods for accurately counting and forecasting fruit production on trees or vines are inaccurate and labor-intensive, leading to unreliable crop forecasts and pricing complications.
Innovation Solution
A system comprising data acquisition components like 3D laser scanners, survey grade GPS, thermal imaging, and high-speed HD video cameras, along with software analysis, to collect and analyze data on fruit trees, providing accurate predictions of yield and quality, and guiding sprayer operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual estimation methods are used for fruit counting, then labor requirements are reduced, but measurement precision deteriorates
Solution Approach 1:
The patent replaces manual mechanical counting methods with automated optical sensing systems including 3D laser scanners, HD video cameras, and image processing algorithms. This substitution enables accurate fruit detection and counting without human labor, simultaneously improving measurement precision and productivity
Solution Approach 2:
The system enables self-service through automated data collection and analysis. The optical sensors and software automatically detect, count, and analyze fruit without requiring manual intervention, allowing the system to serve itself in terms of data gathering and initial processing
2Measurement precision
If automated optical sensing systems are deployed, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent employs multi-functional sensor systems that perform multiple tasks simultaneously. The same optical sensing platform captures images for fruit counting, measures tree dimensions, monitors crop health, and provides spatial mapping, thereby improving measurement precision without proportionally increasing device complexity
Solution Approach 2:
The system merges multiple sensing capabilities (3D laser scanning, HD video, thermal imaging) into an integrated platform. By combining these functions into a single coordinated system rather than separate devices, the patent achieves high measurement precision while managing overall system complexity
3Loss of information
If detailed data collection is performed, then information completeness improves, but loss of time increases
Solution Approach 1:
The system performs preliminary data collection and processing in the field using portable sensors. Images and measurements are captured and preliminarily analyzed on-site, reducing the need for extensive later processing and minimizing overall time loss while ensuring complete data collection
Solution Approach 2:
The patent implements feedback loops where collected data is immediately processed and used to guide subsequent monitoring activities. This real-time feedback mechanism ensures complete information gathering while optimizing time usage by focusing subsequent measurements on areas needing further investigation
Data Source
AI summary
The present invention relates to systems and methods for monitoring agricultural products. In particular, the present invention relates to monitoring fruit production, plant growth, and plant vitality.