Fuzzy methods in smart farming: a systematic review

Widayat, Irawan Widi and Arsyad, Andi Arniaty and Mantau, Aprinaldi Jasa and Adhitya, Yudhi and Koppen, Mario (2024) Fuzzy methods in smart farming: a systematic review. Informatica, 36 (2). pp. 453-489. ISSN 1822-8844

	Text (Article's Content) ILS0043-26_Isi-Artikel.pdf - Published Version Download (2MB)
	Text (Similarity Check) ILS0043-26_Cek-Turnitin.pdf - Supplemental Material Download (2MB)

Official URL: https://informatica.vu.lt/journal/INFORMATICA/arti...

Abstract

Smart Farming (SF) has garnered interest from computer science researchers for its potential to address challenges in Smart Farming and Precision Agriculture (PA). This systematic review explores the application of Fuzzy Logic (FL) in these areas. Using a specific anonymous search method across five scientific web indexing databases, we identified relevant scholarly articles published from 2017 to 2024, assessed through the PRISMA methodology. Out of 830 selected papers, the review revealed four gaps in using FL to manage imprecise data in Smart Farming. This review provides valuable insights into FL for potential applications and areas needing further investigation in SF.

Item Type:	Article
Uncontrolled Keywords:	Fuzzy logic; Smart Farming; Precision agriculture; Agri-food chain; Preferred Reporting Items for Systematic Reviews; PRISMA
Subjects:	000 Computer science, information & general works > 000 Computer Science, Information, General Works > 006 Special Computer Methods 600 Applied sciences & technology > 630 Agriculture
Divisions:	Universitas Al-Azhar Indonesia (UAI) > Fakultas Sains dan Teknologi (FST) > Teknik Informatika
Depositing User:	Ms Novi Tasari
Date Deposited:	31 Jul 2026 08:59
Last Modified:	01 Aug 2026 14:06
URI:	http://eprints.uai.ac.id/id/eprint/2636

Actions (login required)

View Item