Adaptive Digital Color Chart for Crop Phenotype Detection
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Solution Overview
Problem
Current methods for determining the physiological phenotype of crops, such as leaf color charts and colorimetric cards, are prone to errors due to subjective human interpretation and environmental light variations, leading to inaccurate assessments.
Innovation Solution
A portable device equipped with a camera, environmental light sensor, distance sensor, and a color chart database that selects an adaptive digital color chart based on environmental brightness and object distance, allowing for objective comparison of crop color information to determine corresponding physiological information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If farmers use leaf color chart or colorimetric card to determine crop color appearance, then the method is simple and easy to operate, but the determination result is prone to errors and misjudgment due to subjective human interpretation and environmental light variations
Solution Approach 1:
The patent replaces the manual mechanical system of visually comparing crop color to physical color charts with an automated optical detection system. A portable device captures images of crops using a camera, extracts color information digitally, and automatically compares it against stored reference color data. This substitution eliminates subjective human interpretation and environmental light interference, significantly improving measurement precision while maintaining ease of operation through automated processing.
Solution Approach 2:
The patent creates digital copies of reference color charts and stores them in a database within the portable device. Instead of requiring farmers to physically hold and compare against printed color charts under varying light conditions, the system uses digitally stored reference colors that can be consistently displayed and compared. This digital copying ensures that the reference standard remains constant and can be accurately matched against captured crop images, improving measurement reliability.
2Adaptability or versatility
If farmers determine color appearance under open environment (outdoor environment), then the method allows field-based detection, but environmental light variations seriously influence the determination result and generate higher error
Solution Approach 1:
The patent introduces an intermediary processing layer between the crop and the determination result. The portable device captures the crop image, extracts color information, and compares it against reference data stored in the database. This intermediary digital processing acts as a mediator that isolates the measurement from environmental light variations, allowing field-based detection to maintain high precision by translating physical color perception into objective digital data that can be consistently analyzed regardless of lighting conditions.
Solution Approach 2:
The patent performs preliminary actions by pre-storing reference color data corresponding to different physiological states (nitrogen levels, maturity stages) in the device database before field use. During field detection, the system directly compares captured crop color against these pre-prepared reference standards. This preliminary preparation of reference data enables rapid, accurate comparison in the field without requiring complex real-time calibration, maintaining both adaptability to field conditions and measurement precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces errors caused by environmental factors and subjective determination, providing accurate physiological phenotype data for farmers, enhancing decision-making in crop management.
Implementation Method 1
capturing an image to be detected of the designated crop and acquiring color information corresponding to the image to be detected
Implementation Method 2
detecting an environmental brightness
Data Source
AI summary
The present disclosure provides a method, portable device, and system for detecting physiological phenotype of crops, which determines a digital color chart according to the distance between a designated crop and the portable device and the present environmental brightness, and then determines that the appearance color of the designated crop belongs to which control color information of the selected digital color chart. It can avoid causing the error result because of the influence of the subjective determination and the environmental light. Therefore, the selected control color information may correspond to physiology information of the designated crop, to provide farmers with an understanding the present physiological phenotype of the designated crop.