Smart Agriculture with Machine Learning and Internet of Things Techniques: Literature Review and Bibliometric Analysis

Karima El MajdoubyMohamed El MohadabKarim Abouelmehdi

DOI 10.7160/aol.2026.180301
No 3/2026, September
pp. 3-16

El Majdouby, K., El Mohadab, M. and Abouelmehdi, K. (2026) "Smart Agriculture with Machine Learning and Internet of Things Techniques: Literature Review and Bibliometric Analysis", AGRIS on-line Papers in Economics and Informatics, Vol. 18, No. 3, pp. 3-16. ISSN 1804-1930 DOI 10.7160/aol.2026.180301.

Abstract

A booming field known as "smart agriculture" has emerged because of the rapid revolution and transformation of agriculture. It makes use of cutting-edge agricultural technologies, like the internet of things and machine learning (ML) algorithms, to enhance farm management tasks, boost agricultural productivity, and lessen environmental impact by empowering farmers to react swiftly and efficiently to climate change. A key component of the shift to smart farming is the Internet of Things (IoT), which makes it easier for sensors and devices to connect and share data. It also gives farmers access to actionable information and knowledge, enabling them to make well-informed decisions using machine learning algorithms to enhance crop management and boost yields. Numerous tasks, including weed identification, fertilization requirement analysis, irrigation adjustment, and pest and soil management, are made possible by the automation made possible by these technologies. They allow farmers to make targeted interventions by continuously monitoring crop health, which lowers labor costs and the environmental impact. The effects of technological advancements, such as machine learning and the Internet of Things, on the agriculture industry are thoroughly examined in this paper. It draws attention to the useful applications of these instruments, which help farmers better, more automatically, and more precisely manage their resources and output.

Keywords

Smart agriculture, machine learning, internet of things, bibliometric

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