Journal ArticleDOI
A Comprehensive Survey of Fruit Grading Systems for Tropical Fruits of Maharashtra
Suchitra Khoje,Shrikant Bodhe +1 more
TLDR
This paper is the first step toward evaluating the research carried out by the research community all over world for tropical fruits in India by focusing on the tropical fruits of the state of Maharashtra, while keeping in focus of the review image processing algorithms.Abstract:
It is said that the backbone of Indian economy is agriculture. The contribution of the agriculture sector to the national GDP (Gross Domestic Products) was 14.6% in the year 2010. To attain a growth rate equivalent to that of industry (viz., about 9%), it is highly mandatory for Indian agriculture to modernize and use automation at various stages of cultivation and post-harvesting techniques. The use of computers in assessing the quality of fruits is one of the major activities in post-harvesting technology. As of now, this assessment is majorly done manually, except for a few fruits. Currently, the fruit quality assessment by machine vision in India is still at research level. Major research has been carried out in countries like China, Malaysia, UK, and Netherlands. To suit the Indian market and psychology of Indian farmers, it is necessary to develop indigenous technology. This paper is the first step toward evaluating the research carried out by the research community all over world for tropical fruits. For the purpose of survey, we have concentrated on the tropical fruits of the state of Maharashtra, while keeping in focus of the review image processing algorithms.read more
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Journal ArticleDOI
Machine Vision based Fruit Classification and Grading - A Review
Sapan Naik,Bankim Patel +1 more
TL;DR: A detailed overview of the process of fruit classification and grading has been presented and some extraction methods like Speeded Up Robust Features (SURF), Histogram of Oriented Gradient (HOG) and Local Binary Pattern (LBP) are discussed with the common features of fruits like color, size, shape and texture.
Journal ArticleDOI
Real-time oil palm FFB ripeness grading system based on ANN, KNN and SVM classifiers
Meftah Salem M. Alfatni,Abdul Rashid Mohamed Shariff,Siti Khairunniza Bejo,Osama M. Ben Saaed,Aouache Mustapha +4 more
TL;DR: The results show that the real-time oil palm FFB ripeness grading system has achieved the highest accuracy 93 % and the fastest image processing speed 0.40 (s) by using BGLAM texture feature based on ANN classifier compared to the other feature extraction techniques and machine learning classifiers.
Journal ArticleDOI
Study on Handing Process and Quality Degradation of Oil Palm Fresh Fruit Bunches (FFB)
Zainon Mat Sharif,Norhasnina Binti Mohd Taib,M. S. Yusof,Mohammad Zulafif Rahim,Abdul Latif Mohd Tobi,Mohd Syafiq Othman +5 more
TL;DR: In this paper, the relationship between quality of oil palm fresh fruit bunches (FFB) and handling processes was determined. But, the main objective of this study is to determine the relationship of FFB quality and handling process.
Journal ArticleDOI
Towards a Real-Time Oil Palm Fruit Maturity System using Supervised Classifiers Based on Feature Analysis
Meftah Salem M. Alfatni,Siti Khairunniza Bejo,Mohammad Hamiruce Marhaban,Osama M. Ben Saaed,Aouache Mustapha,Abdul Rashid Mohamed Shariff +5 more
TL;DR: The experimental results showed that the FFB classification system of non-destructive palm oil maturation in real time provided a significant result, and although the SVM classifier is generally a robust classifier, ANN has better performance due to the natural noise of the data.
Journal ArticleDOI
Image processing methods to evaluate tomato and zucchini damage in post-harvest stages
José Antonio Álvarez-Bermejo,Cynthia Giagnocavo,Li Ming,Encarnación Castillo Morales,Diego P. Morales Santos,Yang Xinting +5 more
TL;DR: The proposed method achieves success rates comparable to, and improving, the expert inspection, and the algorithms used take account of the short time available and the limited capacity of the batteries.
References
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Journal ArticleDOI
Classification of grapefruit peel diseases using color texture feature analysis
TL;DR: Kim et al. as discussed by the authors investigated the potential of using color texture features for detecting citrus peel diseases and developed algorithms for selecting useful texture features based on a stepwise discriminant analysis, and 14, 9, and 11 texture features were selected for three color combinations of HSI, HS, and I, respectively.
Journal ArticleDOI
Development of a lemon sorting system based on color and size
TL;DR: An efficient algorithm for grading lemon fruits is developed and implemented in visual basic environment and can be easily adapted for grading and/or inspection of other agricultural products such as cucumber and eggplant.
Journal Article
Classification and analysis of fruit shapes in long type watermelon using image processing
TL;DR: The results indicated that length to width ratio and fruit area (2D) to background area ratio can be used to determine misshapen fruit.
Journal Article
Determination of orange volume and surface area using image processing technique
TL;DR: In this article, an accurate image processing algorithm for determination of volume and surface area of an orange is developed, which consists of two CCD cameras placed at right angle to each other in order to give two perpendicular views of the image of the orange.
Journal ArticleDOI
Assessing mango anthracnose using a new three-dimensional image-analysis technique to quantify lesions on fruit
Gabriel Corkidi,Karina Alejandra Balderas-Ruíz,Blanca Taboada,Leobardo Serrano-Carreón,Enrique Galindo +4 more
TL;DR: An accurate image-analysis method was developed to assess quantitatively the spot-like lesions on fruits resulting from pathogen attack, applied to evaluation of the development and severity of anthracnose of mango fruit, caused by the fungus Colletotrichum gloeosporioides.