Mochammad Haldi Widianto, Mochamad Iqbal Ardimansyah, Husni Iskandar Pohan, Davy Ronald Hermanus
Current technology has been widely applied for development, one of which has an Artificial Intelligence (AI) applied to Smart Farming. AI can give special capabilities to be programmed as needed. In cooperation with agricultural systems, AI is part of improving the quality of agriculture. This technology is no stranger to being applied in basic fields such as agriculture. This smart technology is needed to increase crop yields for various regions by utilizing the current trends paper. This is necessary because less land is available for agriculture, and there is a greater need for food sources. Therefore, this systematic review aims to collect the current trends in AI studies for Smart Farming papers using the latest year features from 2018-2022. This paper is handy for researchers and industry in looking for the latest papers on research to enhance crop yields. The authors utilized Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) of 534 articles from IEEE, ACM, MDPI, IAES, and ScienceDirect. After going through a careful process, 67 papers were found that were judged according to the criteria. After the authors got some of the current trends, the author has discussed several factors regarding the results obtained to enhance crop yields, such as Weather, Soil, Irrigation, Unmanned Aerial Vehicle (UAV), Pest Control, Weed Control, and Disease Control. © 2022 Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta. All right reserved.
Computer Science Department, School of Computer Science, Bina Nusantara University, Bandung Campus, Jakarta, 11480, Indonesia; Department of Software Engineering, Universitas Pendidikan Indonesia, 229 Dr. Setiabudi Street, West Java, Bandung, 40514, Indonesia
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