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All Journal Jurnal Simetris Jurnal Sosioteknologi Jurnas Nasional Teknologi dan Sistem Informasi INFORMAL: Informatics Journal JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research Jurnal Komputer Terapan Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Elektronika dan Telekomunikasi Jurnal ULTIMATICS SISFO KOMPUTIKA - Jurnal Sistem Komputer INTEGRITAS : Jurnal Pengabdian Journal of Innovation Information Technology and Application (JINITA) Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Jurnal Nasional Teknik Elektro dan Teknologi Informasi Ilmu Komputer untuk Masyarakat Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Journal of Applied Agricultural Science and Technology Jurnal Pengabdian Masyarakat Bidang Sosial dan Humaniora Proceeding International Applied Business and Engineering Conference JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat) PAPUMA: Journal of Comunnity Services JGGAG (Journal of Games, Game Art, and Gamification)
Furqon, Muhammad Ariful
Departemen Informatika, Universitas Jember
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Journal : International Journal of Artificial Intelligence Research

 1 
Knowledge Graph Construction for Rice Pests and Diseases Furqon, Muhammad Ariful; Bukhori, Saiful
International Journal of Artificial Intelligence Research Vol 7, No 1 (2023): June 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1022

Abstract

The agricultural industry in Indonesia confronts the simultaneous task of augmenting food production to satisfy escalating demand while proficiently handling crop losses caused by pests and diseases.  This study introduces a novel approach that leverages knowledge graphs to transform traditional, expert-based knowledge into a dynamic and interconnected system for addressing these agricultural challenges. The study delineates constructing a comprehensive knowledge graph, commencing with data extraction with SPARQL queries, and progressing to ontology design, object property and datatype property specification, and instance generation. The resultant knowledge graph not only serves as an organized archive for pest and disease information but also gives a systematic framework for the integration, analysis, and decision-making of data in agriculture. This knowledge graph adds to the broader junction of data science and agriculture by improving the diagnosis, prevention, and control of rice diseases.
Co-Authors Ahmad Sonny Pranata Alifian Sukma, Alifian Apol Pribadi Ar Ruhimat, Qurrota A'yuni Ari Cahaya Puspitaningrum Ati Kusmiati Balthasar Watunglawar Deana Nathania Damayanti Deny Hermansyah Dwi Wijonarko Eki Saputra Eki Saputra El Maidah, Nova Endah Septa Sintiya Fajariyanto, Gama Wisnu Fazrol Rozi, Fazrol Firmansyah, Diksy Media Gama Wisnu Fajarianto Gayatri Dwi Santika Gun Faisal Harry Soepandi Herman Cahyo Diartho Hidayat, Muhamad Arief Iqbal Al Mahdi Irawan, Hendry Sakti Kartika, Vera Katarina Leba Komaria, Vida Leba, Katarina Madani, Anis Mochamad Bagoes Alfarazi Mohammad Ovi Sanjaya Mohammad Zarkasi Muhammad Zuama Al Amin Najwa, Nina Fadilah Naura, Lintang Arsa Nina Najwa Nova El Maidah Nur Aini Rakhmawati Okfalisa Oktavia, Nelly Priza Pandunata Puspaningrum, Diah Putri, Ikfira Agustina Rakhmawati, Nur A retnani, windy eka yulia Rita Sari Rizqi Alvian, Muhammad Bagus Saiful Bukhori Sayekti Harits Suryawan Setiawan, Juni Suyudi, Fadil Abdillah Vega Kartika Sari Vera Kartika Windi Eka Yulia Retnani Yanuandika Akbar Yanuar Nurdiansyah, Yanuar Yanuarti, Rizky Yosari Dwi Fadhillah Yudha Alif Auliya Zarkasi, Mohamad Zarkasi, Mohammad