Building an ontology for diagnosing Sidr tree diseases
DOI:
https://doi.org/10.29304/jqcm.2023.15.1.1141Keywords:
Ontology, Sidr tree diseases, Symptoms, Diagnosis, DL-Query, SPARQLAbstract
Sidr trees are among the important trees in Iraq, especially in the southern regions of the country, as in Basra Governorate. The Sidr crop contributes a good share of the economy in many regions. In addition, it is used in various fields such as medicine. Various pathogens affect the Sidr tree due to many diseases, which cause serious problems that weaken or stop the production of the plant, and may eventually cause the plant to die. Therefore, we find that direct work, whether at the individual level of farmers or institutions specialized in agricultural prevention, for the development of solutions to detect and diagnose diseases quickly, with high accuracy, and recommend treatment for Sidr diseases is necessary and inevitable. In this work, we build an ontology to represent information about Sidr tree diseases. The proposal of this ontology is to support agricultural practices and systems geared towards helping farmers in the early prediction of diseases from their morphological symptoms. The ontology was developed under Protégé 5.5.0 using the Web Ontology Language (OWL) format and defined Competency Questions, DL-Query, and SPARQL queries. It includes 217 classes, 13 object properties, 6 data properties, and 1762 axioms. Experiments conducted through a data set showed the effectiveness of ontology in diagnosing Sidr tree diseases using one or more observations of symptoms provided by farmers. As a contribution to this work, it presents the first ontology to recover knowledge about the diseases of the Sidr tree and the possibility of using this ontology in designing easy-to-use computerized systems (relying on semantic web technologies) that help the farmer in diagnosing diseases and suggesting appropriate treatment quickly, accurately and at a lower cost.
Downloads
References
[2] Choi S., Ahn J., Kim H., Im N., Kozukue N., Levin C. E., Friedman M., “Changes in Free Amino Acid, Protein, and Flavonoid Content in Jujube (Ziziphus jujube) Fruit during Eight Stages of Growth and Antioxidative and Cancer Cell Inhibitory Effects by Extracts, Agric. Food Chem. 60(41): 10245−10255, 2012.
[3] Adgaba N., Al-Ghamdi A., Tadesse Y., Getachew A., Awad A.M., Ansari M.J., Owayss A.A., Mohammed S.A., Alqarni A.S., “Nectar secretion dynamics and honey production potentials of some major honey plants in Saudi Arabia”, Saudi J Bio.Sci.24(1):180-191, 2016.
[4] Najafabadi N. S., Sahari M. A., Barzegar M., Esfahani Z. H., “Effect of gamma irradiation on some physicochemical properties and bioactive compounds of jujube (Ziziphus jujuba var vulgaris) fruit”, Radiation Physics and Chemistry, Volume 130, Pages 62-68, January 2017.
[5] Bushra F. Ismael, Abdul Kareem M. Abd, Firas J. Jabbar, “Study The Effect of Antioxidants on The Traits of the Fruits of Two Cultivars of Jujube (Ziziphus mauritiana Lamk.) Al-Tufahi and Alarmouti Cultivars”, Basrah J. Agric. Sci., 35(1), 1-20, 2022
[6] M. dhaher T. Al-asadi, “Study of the phenotypic, chemical and molecular characterization of some cultivar sider Zidiphus spp and the response of the CV.tofahy to spray by salicylic acid and tryptophan in some vegetative and fruit traits View project Recombinant DNA technology" Or "DNA cloning View project,” University of Basra , college of Agriculture, 2018. doi: 10.13140/RG.2.2.17685.17128.
[7] AL-Marzooq M. A., “Phenolic compounds of Napek leave (Zizyphus spina-christi L.) as natural antioxidants”, J. F. Nutr. Scie. 2(5): 207-214, 2014.
[8] S. Sankaran, A. Mishra, R. Ehsani, and C. Davis. “A review of advanced techniques for detecting plant diseases”. Computers and Electronics in Agriculture, 72(1):1{13, 2010.
[9] Ling Liu and M. Tamer Özsu (Eds.), “Entry in the Encyclopedia of Database Systems”, Springer-Verlag, 2009.
[10] Mahmoud A. El-Askary, “An Ontology-Based Approach for Diagnosing Date Palm Diseases”, thesis Submitted to Islamic University of Gaza, 2015.
[11] Watanee Jearanaiwongkul, Chutiporn Anutariya, Frederic Andres, “An ontology-based approach to plant disease identification system”, Proceedings of the 10th International Conference on Advances in Information Technology, Bangkok, Thailand, 2018.
[12] Watanee Jearanaiwongkul, Chutiporn Anutariya, Teeradaj Racharak, Frederic Andres, “An Ontology-Based Expert System for Rice Disease Identification and Control Recommendation”, Journals: Applied Sciences, Volume 11, Issue 21, 10.3390/app112110450, 2021.
[13] Porawat Visutsak, “Ontology-Based Semantic Retrieval for Durian Pests and Diseases Control System”, International Journal of Machine Learning and Computing, Vol. 11, No. 1, January 2021.
[14] Rusul Yousif Al-Salhi, Abdulhussein Mohsin Abdullah, “Building Quranic stories ontology using MappingMaster domain-specific language”, International Journal of Electrical and Computer Engineering (IJECE), Vol. 12, No. 1, February 2022.
[15] Van Harmelen, F., “A Semantic Web Primer”, MIT Press, Cambridge, 2008.
[16] Staab, S., Studer, R., “Handbook on Ontologies”, Springer Science & Business Media, Berlin, 2010.
[17] Noy N.F., McGuinness D.L., et al., “Ontology development 101: A guide to creating your first ontology”, 2001.
[18] Protégé, Available website: http://protege.stanford.edu (Access online).
[19] DL Query, Website Available: https://protegewiki.stanford.edu/wiki/DL_Query.
[20] L. McCarthy, B. Vandervalk, and M. Wilkinson, "SPARQL Assist language-neutral query composer" BMC bioinformatics, vol. 13, pp. S2, 2012
