MACHINE LEARNING CLASSIFIER FOR DALIUM GUINEENSE FRUIT USING ITS PHYSICAL PROPERTIES
- Keywords:
- machine learning, classifier, classification,, deshelled fruit, whole fruit,, Dalium Guineense, classification learner.
- Abstract
-
Dalium guineense (DG) is a wild fruit with a brittle epicarp that may be broken accidentally or intentionally while processing during any of the unit operations thereby creating a binomial mixture. Having a binomial mixture of similar items that need to be separated for processing or storage purposes presents a common challenge. This research aims at selecting an appropriate machine learning classifier for the classification of DG fruits. Fifteen measured physical characteristics of randomly selected 200 DG fruits were obtained. Fifty percent of the fruits were deshelled, while the remaining 50% were whole fruits. Different machine learning classifiers were chosen from Decision Tree (DT), Support Vector Machines (SVM), and K-Nearest Neighbor (KNN) classification models, using the classification learner toolkit of MATLAB. The results revealed that Coarse Gaussian SVM and Cosine KNN presented an outstanding classification accuracy of 98.5% compared to other classifiers under investigation. The two classifiers also attained precision, sensitivity, specificity, and F-scores of 99.0%, 98.0%, 99.0%, and 98.5% respectively. The method deployed in this study demonstrates superiority to those reported in some literature. This research recommends the adoption of either the coarse Gaussian SVM or the cosine KNN as the most appropriate classifier for the DG fruits classification.
- Author Biographies
- References
-
Abiodun, O. A., Dauda, A. O., Adebisi, T. T., and Alonge, C. D. (2017). Physico-chemical,
microbial and sensory properties of kunu zaki beverage sweetened with black velvet
tamarind (Dialium guineense). Croatian Journal of Food Science and Technology,
Afolabi, O. B., Oloyede, O. I., Ojo, A. A., Onasanya, A. A., Agunbiade, S. O., Ajiboye, B.
O., Jonathan, J., and Peters, O. A. (2018). In vitro antioxidant potential and
inhibitory effect of hydroethanolic extract from African black velvet tamarind
(Dialium indium) pulp on type 2 diabetes linked enzymes. Potravinarstvo, 12(1).
Asoegwu, S. N., Ohanyere, S. O., Kanu, O. P., and Iwueke, C. N. (2006). Physical properties
of African oil bean seed (Pentaclethra macrophylla). Agricultural Engineering
International: CIGR Journal E.Journal. Manuscript FP05 006. Vol. VIII.
Asoiro, F. U., Ezeoha, S. L., Ezenne, G. I., and Ugwu, C. B. (2017). Chemical and
mechanical properties of velvet tamarind fruit (Dialium guineense). Nigerian Journal
of Technology, 36 (1), 252–260.
Battineni, G., Chintalapudi, N., and Amenta, F. (2019). Machine learning in medicine:
Performance calculation of dementia prediction by support vector machines
(SVM). Informatics in Medicine Unlocked, 16, 100200.
Bhambri, P., Dhanoa, I. S., Sinha, V. K., and Kaur, J. (2020). Paddy Crop Production Analysis Based on SVM and KNN Classifier. International Journal of Recent Technology and Engineering, 8(5), 2790–2793.
Bhavani, B. G., Kumar, G. L. N. V. S., Moram Lakshim, Rekha, M. L., K N V P S, and Ramesh, K. N. V. P. S. B. (2021). Prediction of Various Crops in Agricultural Field Using Decision Tree and Naviebayes Algorithm in Machine Learning. International Journal of Engineering Research & Technology, 9(5), 79–83.
Jijo, B. T., and Abdulazeez, A. M. (2021). Classification Based on Decision Tree Algorithm for Machine Learning. Journal of Applied Science and Technology Trends, 02(01), 20–28.
Jye, K. S., Manickam, S., Malek, S., Mosleh, M., and Dhillon, S. K. (2018). Automated plant
identification using artificial neural network and support vector machine. Frontiers in
Life Science, 10(1), 98–107.
Kalichkin, V. K., Alsova, O. K., and Maksimovich, K. Y. (2021). Application of the decision tree method for predicting the yield of spring wheat. IOP. Conference Series: Earth and Environmental Science. (Vol. 839. No 3) IOP Publishing.
Karthikeya, H. K., Sudarshan, K., and Shetty, D. S. (2020). Prediction of Agricultural Crops using KNN Algorithm. International Journal of Innovative Science and Research Technology, 5(5), 1422–1424.
K?l?çkan, A., and Güner, M. (2008). Physical properties and mechanical behavior of olive fruits (Olea europaea L.) under compression loading. Journal of Food Engineering, 87(2), 222–228.
Kramar, V. A, Alchakov, V. V., Dushko, V. R., and Kramar, T. V. (2018). Application of
support vector machine for prediction and classification. Journal of Physics
Conference series (Vol. 1015, No. 3) IOP Publishing
Lasekan, O., and See, N. S. (2015). Key volatile aroma compounds of three black velvet
tamarind (Dialium) fruit species. Food Chemistry, 168, 561–565.
Macuacua, J. C., Centeno, J. A.S. and Amisse, C. (2023). Data mining approach for dry bean
seeds Classification. Smart Agricultural Tech. 5, 100240.
Mohamed, A. E. (2017). Comparative Study of Four Supervised Machine Learning Techniques for Classification. International Journal of Applied Science and Technology, 7(2), 5–18.
Obi, O. F., and Offorha, L. C. (2015). Moisture-dependent physical properties of melon (Citrullus colocynthis lanatus) seed and kernel relevant in bulk handling. Cogent Food & Agriculture, 1(1), 1020743.
Okudu, H. O., Umoh, E. J., Ojinnaka, M. C., and Chianakwalam, O. F. (2017). natritional functional and sensory attributes of jam from velvet tamarind pulp. African Journal of Food Science, 11(2), 44-49.
Olamide, K., Oludele, A., Monday, E., K., and Chigozirim, A. (2020). Evaluation of Decision
Tree Algorithms in Precision Agriculture. International Journal of Computing and
Technology, 7(3), 25-33.
Onwe, D. N., Umani K.C., Olusunde, W. A and Ossom, I. S. (2020). Comparative analysis of
moisture-dependent physical and mechanical properties of African star apple
(Chrysophyllum albidum) seeds relevant in engineering design. SCientific African, 8,
e00303.
Samakradhamrongthai, R.S., and Jannu, T. (2021). Effect of Stevia, xylitol, and corn syrup in
the development of velvet tamarind ( Dalium indum L.) chewy candy. Food
Chemistry, 352, 129353
Singh, L., Janghel, R. R., and Sahu, S. P. (2021). Classification of Hepatic Disease Using
Machine Learning Algorithms. In Advances in Biomedical Engineering and
Technology. Select Proceedings of ICBEST 2018 (pp. 161-173) Springer Singapore.
Song, Y., Huang, J., Zhou, D., Zha, H., & Giles, C. L. (2007). IKNN: Informative k-nearest
neighbor pattern classification. In Knowledge Discovery in Databases: PKDD 2007:
11th European Conference on Principles and Practice of Knowledge Discovery in
Databases, Warsaw, Poland, September 17-21, 2007. Proceedings 11 (pp. 248-264).
Springer Berlin Heidelberg.
Song, Y., and Lu, Y. (2015). Decision tree methods: Applications for classification and
prediction. Shanghai Archives of Psychiatry, 27(2), 130–135.
Syahminan, S., Maknunah, J., Dijaya, R., and Hindarto, H. (2019). KNN (K-Nearby
Neighbor) for identifying agricultural land. In Journal of Physics Conference Series
(Vol. 1402, No 6, p 066059). IOP publishing
Thai, L. H., Hai, T. S., and Thuy, N. T. (2012). Image Classification using Support Vector
Machine and Artificial Neural Network. International Journal of Information
Technology and Computer Science, 5, 32–38.
https://www.mathworks.com/help/stats/choose-a-classifier.html Retrieved 10 February, 2023
- Downloads
- Published
- 2023-05-31
- Section
- Articles
- License
-
Copyright (c) 2023 FUTA JOURNAL OF ENGINEERING AND ENGINEERING TECHNOLOGY

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright
With the submission of a manuscript, the corresponding author confirms that the manuscript is not under consideration by another journal. With the acceptance of a manuscript, the Journal reserves the exclusive right of publication and dissemination of the information contained in the article. The veracity of the paper and all the claims therein is solely the opinion of the authors not the journal.
How to Cite
Similar Articles
- Popoola, J. J, Dada, A. B. , deyemi, C. S., A DEEP CONVOLUTIONAL NEURAL NETWORK-BASED MOBILE APPLICATION FOR EARLY AUTO-DETECTION OF PNEUMONIA FROM CHEST X-RAY IMAGES , FUTA JOURNAL OF ENGINEERING AND ENGINEERING TECHNOLOGY: Vol. 18 No. 2 (2024): FUTA Journal of Engineering and Engineering Technology
- Obiora-Okeke, O. A, Owolabi, S. H , Adewumi, J. R, HYDRAULIC ASSESSMENT FOR SIGHTING A CONCRETE WEIR ON OGBESE RIVER FOR IRRIGATION , FUTA JOURNAL OF ENGINEERING AND ENGINEERING TECHNOLOGY: Vol. 18 No. 2 (2024): FUTA Journal of Engineering and Engineering Technology
- E O Olutomilola, A Omoaka, THEORETICAL DESIGN OF A PLANTAIN PEELING MACHINE , FUTA JOURNAL OF ENGINEERING AND ENGINEERING TECHNOLOGY: Vol. 12 No. 2 (2018): FUTA Journal of Engineering and Engineering Technology
- 1Obiora-Okeke, O. A, Owolabi, S. H , Adewumi, J. R, HYDRAULIC ASSESSMENT FOR SIGHTING A CONCRETE WEIR ON OGBESE RIVER FOR IRRIGATION , FUTA JOURNAL OF ENGINEERING AND ENGINEERING TECHNOLOGY: Vol. 18 No. 2 (2024): FUTA Journal of Engineering and Engineering Technology
- AWOPETU, O. O, OWOYEMI, J. M, BABATUNDE, T. P. , OJO, O. T., DEVELOPMENT OF A TRANSFORMABLE FURNITURE SYSTEM: FROM SHELVING UNIT TO FUNCTIONAL TABLETOP , FUTA JOURNAL OF ENGINEERING AND ENGINEERING TECHNOLOGY: Vol. 18 No. 1 (2024): FUTA Journal of Engineering and Engineering Technology
- Odeyemi, C. S, Olaniyan, O. M, Sobowale, A. A, DEVELOPMENT OF REAL TIME HOME AUTOMATION SYSTEM WITH SMS ALERT ON NIGERIA GSM NETWORKS , FUTA JOURNAL OF ENGINEERING AND ENGINEERING TECHNOLOGY: Vol. 18 No. 2 (2024): FUTA Journal of Engineering and Engineering Technology
- M. A. Akintunde, K A ADETORO, T. J. Abioye, Development of Refrigeration System for Storage and Preservation of Yam Tubers , FUTA JOURNAL OF ENGINEERING AND ENGINEERING TECHNOLOGY: Vol. 13 No. 2 (2019): FUTA Journal of Engineering and Engineering Technology
- P B Mogaji, DEVELOPMENT OF AN IMPROVED CIRCULAR SAWING MACHINE , FUTA JOURNAL OF ENGINEERING AND ENGINEERING TECHNOLOGY: Vol. 12 No. 2 (2018): FUTA Journal of Engineering and Engineering Technology
- Adeyemo A. J., AMELIORATION OF DIFFERENT SOIL TYPES CONTAMINATED WITH SPENT HYDROCARBON. , FUTA JOURNAL OF ENGINEERING AND ENGINEERING TECHNOLOGY: Vol. 18 No. 2 (2024): FUTA Journal of Engineering and Engineering Technology
- H. A. Owolabi, B. V. Omidiji, A. O. Oke, A. T. Morakinyo, Development of a Small-Scale Motorized Dough Kneading Machine , FUTA JOURNAL OF ENGINEERING AND ENGINEERING TECHNOLOGY: Vol. 11 No. 2 (2017): FUTA Journal of Engineering and Engineering Technology
You may also start an advanced similarity search for this article.
