Identification of Peanut Pods with Three or More Kernels by Machine Vision and Neural Network
-
Jason Wang
,
Lloyd T. Walker
Abstract
Separation of unshelled peanuts containing three or more kernels and then niche marketing them can potentially increase the value of unshelled peanuts and thus the profit of peanut producers or processors. Effective identification of peanut pods with three or more kernels is a critical step prior to separation. In this study, a machine vision system was teamed up with neural network technique to discriminate unshelled peanuts into two groups: one with three or more kernels and the other with two or less kernels. A set of physical features including the number of bumps, projected area, length and perimeter, etc., were extracted from the images taken and used to train an artificial neural network for discriminating the peanuts. It was found that among all the selected features, the length, the major axis length and perimeter have the best correlation with the number of kernels (correlation coefficient r = 0.87–0.88); the area and convex area have good correlation (r = 0.85); the eccentricity, number of bumps, and the compactness have relatively lower correction (r = 0.77–0.80); the solidity and the minor axis length have the least correlation to the number of kernels (r = −0.415–0.26). The best discrimination accuracy obtained for peanut pods with three or more kernels was 92.5% for the conditions used in this study.
References
PoxtonMG, GoldsworthyGT. The remote estimation of weight and growth in turbot using image analysis. In: Proceedings of Conference: Aquaculture ’86, Automation and Data Processing in Aquaculture, 1986:T12.1–12.8.Suche in Google Scholar
SchofieldCP, MarchantJA. Measuring the size and shape of pigs using image analysis. Paper No. 96G-035, AgEng 96 Conference, Madrid, 1996.Suche in Google Scholar
PearsonT. Machine vision system for automated detection of stained pistachio nuts. Lebensm Wiss Technol1996;29:203–9.10.1006/fstl.1996.0030Suche in Google Scholar
RidgwayC, DaviesER, ChambersJ, MasonDR, BatemanM. Rapid machine vision method for the detection of insects and other particulate biocontaminants of bulk grain in transit. Biosyst Eng2002;83:21–30.Suche in Google Scholar
PanditRB, TangJ, LiuF, PittsM. Development of a novel approach to determine heating pattern using computer vision and chemical marker (M-2) yield. J Food Eng2007;78:522–8.10.1016/j.jfoodeng.2005.10.039Suche in Google Scholar
YangW, WinterP, SokhansanjS, WoodH, CrererB. Discrimination of hard-to-pop popcorn kernels by machine vision and neural networks. Biosyst Eng2005;91:1–8.10.1016/j.biosystemseng.2005.02.002Suche in Google Scholar
QiaoJ, WangN, NgadiMO, KazemiS. Predicting mechanical properties of fried chicken nuggets using image processing and neural network techniques. J Food Eng2007;79:1065–70.10.1016/j.jfoodeng.2006.03.026Suche in Google Scholar
BrosnanT, SunD-W. Improving quality inspection of food products by computer vision – a review. J Food Eng2004;61:3–16.10.1016/S0260-8774(03)00183-3Suche in Google Scholar
DowellFE. Automatic control of a peanut grade sample inspection system. Food Control1992;3:105–8.10.1016/0956-7135(92)90041-8Suche in Google Scholar
WangY, YangW, WinterP, WalkerLT. Non-contact sensing of hog weights by machine vision. Appl Eng Agric2005;22:577–82.10.13031/2013.21225Suche in Google Scholar
©2014 by Walter de Gruyter Berlin / Boston
Artikel in diesem Heft
- Frontmatter
- Mass Transfer Coefficients and Correlation of Supercritical Carbon Dioxide Extraction of Sarawak Black Pepper
- Higher Order Predictive Functional Control Versus Dynamical Matrix Control for a Milk Pasteurisation Process: Transfer Function Versus Finite Step Response Internal Models
- Fluidized Bed Drying of Sprouted Wheat(Triticum aestivum)
- Investigation of Hydrodynamics, Kinetics, Energetic and Exergetic Aspects of Fluidized Bed Drying of Rough Rice
- Flux Behavior and Quality of Effluent from a Poultry Processing Plant Treated by Membrane Bioreactor
- Experimental Analysis and Numerical Modeling of Microwave Reheating of Cylindrically Shaped Instant Rice
- Microwave, Air and Combined Microwave-Air Drying of Grape Leaves (Vitis vinifera L.) and the Determination of Some Quality Parameters
- Modelling the Influence of Time and Temperature on Respiration Rate of Fresh Fig and Diced Papaya
- Identification of Peanut Pods with Three or More Kernels by Machine Vision and Neural Network
- Effect of Drying Pre-treatments on the Yield and Bioactive Content of Oil Extracted from Gac Aril
- Effect of Pulsed Electric Field on Microstructure of Some Amino Acid Group of Soy Protein Isolates
- A Novel Modified Starch/Carboxymethyl Cellulose/Montmorillonite Bionanocomposite Film: Structural and Physical Properties
- Effects of Spray Drying Conditions on the Stability and Antioxidant Properties of Spray-Dried Soluble Maté
- Effect of Frying Time and Temperature on the Functional Properties of Carrot Pomace, Pulse Powder and Rice Flour–Based Extrudates
- Effects of Moisture Content and Impact Energy on the Cracking Characteristics of Walnuts
- Spray Drying of Karkade (Hibiscus sabdariffa L.) Calyces and Evaluation of the Product
- Optimization of Closed-Cycle Fluidized Bed Drying of Sesame Seeds Using Response Surface Methodology and Genetic Algorithms
- Assessment of Heat Transfer and Mass Change During Fruits and Vegetables Impingement Pre-Cooling
- High Temperature Short Time Air Puffed Ready-To-Eat (RTE) Tapioca–Peanut Snack: Process Parameters Optimization
Artikel in diesem Heft
- Frontmatter
- Mass Transfer Coefficients and Correlation of Supercritical Carbon Dioxide Extraction of Sarawak Black Pepper
- Higher Order Predictive Functional Control Versus Dynamical Matrix Control for a Milk Pasteurisation Process: Transfer Function Versus Finite Step Response Internal Models
- Fluidized Bed Drying of Sprouted Wheat(Triticum aestivum)
- Investigation of Hydrodynamics, Kinetics, Energetic and Exergetic Aspects of Fluidized Bed Drying of Rough Rice
- Flux Behavior and Quality of Effluent from a Poultry Processing Plant Treated by Membrane Bioreactor
- Experimental Analysis and Numerical Modeling of Microwave Reheating of Cylindrically Shaped Instant Rice
- Microwave, Air and Combined Microwave-Air Drying of Grape Leaves (Vitis vinifera L.) and the Determination of Some Quality Parameters
- Modelling the Influence of Time and Temperature on Respiration Rate of Fresh Fig and Diced Papaya
- Identification of Peanut Pods with Three or More Kernels by Machine Vision and Neural Network
- Effect of Drying Pre-treatments on the Yield and Bioactive Content of Oil Extracted from Gac Aril
- Effect of Pulsed Electric Field on Microstructure of Some Amino Acid Group of Soy Protein Isolates
- A Novel Modified Starch/Carboxymethyl Cellulose/Montmorillonite Bionanocomposite Film: Structural and Physical Properties
- Effects of Spray Drying Conditions on the Stability and Antioxidant Properties of Spray-Dried Soluble Maté
- Effect of Frying Time and Temperature on the Functional Properties of Carrot Pomace, Pulse Powder and Rice Flour–Based Extrudates
- Effects of Moisture Content and Impact Energy on the Cracking Characteristics of Walnuts
- Spray Drying of Karkade (Hibiscus sabdariffa L.) Calyces and Evaluation of the Product
- Optimization of Closed-Cycle Fluidized Bed Drying of Sesame Seeds Using Response Surface Methodology and Genetic Algorithms
- Assessment of Heat Transfer and Mass Change During Fruits and Vegetables Impingement Pre-Cooling
- High Temperature Short Time Air Puffed Ready-To-Eat (RTE) Tapioca–Peanut Snack: Process Parameters Optimization
