Discovering Research Landscape and Emerging Trends of Compost Implementation with the Internet of Things via Bibliometric Analysis

Mohd Fauzie Jusoh; Muhammad Nurfaiz  Abd Kharim; Fatimah  Kayat; Tengku Halimatun Sa’adiah  T. Abu Bakar; Akmal Adilah  Idris; Muhammad Firdaus  Abdul Muttalib; Farah Adila  Abdullah; Tuula  Löytty

doi:10.37934/ard.128.1.100115

Authors

Mohd Fauzie Jusoh Faculty of Mechanical Engineering and Technology, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia
Muhammad Nurfaiz Abd Kharim Faculty of Agro-Based Industry, Universiti Malaysia Kelantan, Jeli Campus, 17600, Jeli, Kelantan, Malaysia.
Fatimah Kayat Faculty of Agro-Based Industry, Universiti Malaysia Kelantan, Jeli Campus, 17600, Jeli, Kelantan, Malaysia.
Tengku Halimatun Sa’adiah T. Abu Bakar Faculty of Agro-Based Industry, Universiti Malaysia Kelantan, Jeli Campus, 17600, Jeli, Kelantan, Malaysia.
Akmal Adilah Idris Faculty of Agro-Based Industry, Universiti Malaysia Kelantan, Jeli Campus, 17600, Jeli, Kelantan, Malaysia.
Muhammad Firdaus Abdul Muttalib Faculty of Mechanical Engineering and Technology, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia.
Farah Adila Abdullah Faculty of Plantation and Agrotechnology, Universiti Teknologi MARA, Jasin Campus, 77300, Merlimau, Melaka, Malaysia.
Tuula Löytty Smart and Lean Hub Oy, Luumukatu 4, 15300 Lahti, Finland

DOI:

https://doi.org/10.37934/ard.128.1.100115

Keywords:

Bibliometric, compost, IoT, organic fertiliser, research progress

Abstract

This study explores the research landscape, emerging composting trends, and the Internet of Things (IoT) application via a comprehensive bibliometric analysis. The analysis examines 353 research documents from 2016 to 2024, identifying key themes, prominent authors, institutions, and countries in this evolving field. The results highlight the significant role of countries in Asian regions like India, China, and Malaysia as leading contributors to IoT-integrated composting research. These countries publish work focusing on smart waste management, biomass monitoring, and the application of artificial intelligence in optimising compost processes. Co-occurrence networks and thematic analyses emphasise IoT-based monitoring systems, renewable energy solutions, and machine learning applications. This study contributes to the existing literature by providing a systematic review of the integration of IoT with composting and identifying research gaps in the related field. The findings highlight the transformative potential of IoT in promoting sustainable agricultural practices and optimising waste management processes.