Peanut Maturity Grading Using Digital Imaging
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Solution Overview
Problem
Current peanut maturity grading methods, such as the Peanut Profile Board, are time-consuming, subjective, and require trained professionals, leading to inconsistent results and inefficiencies in determining optimal harvest times, which affects yield and quality.
Innovation Solution
A peanut maturity grading system that includes a peanut grading board, photo lighting control device, and camera, using image processing and predictive methods to objectively assess peanut maturity and determine optimal harvest times, allowing for field-based grading without specialized training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual peanut maturity classification using Peanut Profile Board is used, then trained professionals can evaluate peanut maturity based on color, but the process is time-consuming and requires loss of valuable field time
Solution Approach 1:
The patent replaces the manual mechanical evaluation system with an automated digital imaging and image processing system. A camera captures images of peanuts on a grading board, and software automatically analyzes color values to determine maturity, eliminating the need for manual visual assessment by trained professionals.
Solution Approach 2:
The patent creates a digital copy (photograph) of the peanut sample on the grading board, which can then be analyzed computationally. This digital replica allows for rapid automated analysis without requiring physical handling or manual evaluation of each peanut.
2Measurement precision
If manual evaluation by trained county officials is used, then peanut maturity can be assessed, but the process is subjective and based on personal experience
Solution Approach 1:
The patent replaces subjective human judgment with objective computational analysis. The image processing algorithm consistently applies color threshold criteria to determine maturity, eliminating variability introduced by different evaluators' personal experiences and interpretations.
Solution Approach 2:
The patent transforms the subjective visual assessment into objective quantitative measurements by analyzing digital color values (RGB or HSV parameters) of the peanut images. This parameter transformation enables consistent, repeatable maturity determination based on measurable color thresholds.
3Measurement precision
If manual peanut maturity classification is performed, then harvest timing can be determined, but farmers must bring samples to county offices resulting in loss of field time
Solution Approach 1:
The patent enables farmers to perform their own maturity assessments using a portable grading board and camera system in the field. The system is self-contained and requires no external laboratory or office facilities, allowing farmers to independently determine optimal harvest timing at the crop location.
Solution Approach 2:
The patent transitions the evaluation process from a centralized office-based system to a decentralized field-based system by using portable equipment. This spatial dimension change allows maturity assessment to occur in-situ without transporting samples to remote locations.
4Productivity
If automated image processing is used for peanut maturity grading, then processing speed increases, but the system requires complex equipment including camera, lighting control, and computing devices
Solution Approach 1:
The patent uses a standard digital camera, which is a multi-functional device already widely available, rather than requiring specialized imaging equipment. The same camera can be used for various purposes, reducing the need for dedicated complex equipment while maintaining automated grading capability.
Solution Approach 2:
The patent employs off-the-shelf consumer electronics (camera, smartphone, or tablet) that are inexpensive and readily available, replacing expensive specialized scientific or industrial imaging equipment. This approach reduces system cost and complexity while achieving the required functionality.
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
The system provides quick, accurate, and objective maturity assessments, reducing processing time and variability, enabling farmers to optimize harvest dates and maximize crop value.
Implementation Method 1
a camera, configured to capture one or more images of the peanut grading board with the color gradient calibration bar
Data Source
AI summary
The present disclosure provides peanut maturity grading systems and methods for quickly, efficiently, and objectively determining a peanut maturity grade for a crop of peanuts and determining an optimal harvest time for the crop. Embodiments of systems and methods of the present disclosure can be performed in the field or field-side and do not require assistance of a trained peanut grading specialist.