Technological Innovation in Palm Oil Industry: A Bibliometric Analysis of AI, IoT, and Precision Agriculture Applications
DOI:
https://doi.org/10.58812/wsis.v3i11.2388Keywords:
Palm Oil, Artificial Intelligence, Internet of Things, Precision Agriculture, Smart Farming, Bibliometric Analysis, Digital Agriculture, SustainabilityAbstract
This study examines the representation of artificial intelligence (AI), the Internet of Things (IoT), and precision agriculture in the scholarly literature pertaining to the palm oil business. A bibliometric technique was employed to obtain literature indexed in major databases from 2000 to 2024, utilizing specific search strings that combined palm oil terminology with keywords related to AI, IoT, and smart farming. Following screening and data cleansing, performance analysis and science-mapping methodologies were employed using VOSviewer and Biblioshiny to investigate publication patterns, significant documents, collaboration networks, and keyword structures. The findings indicate a swiftly advancing research frontier centered on the intersection of IoT, palm oil, and sustainability, wherein sensor-based monitoring, intelligent platforms, and machine-learning technologies are utilized for plantation management and environmental supervision. Malaysia and Indonesia predominate in the national network, bolstered by interdisciplinary collaborations among engineering, computer science, and agriculture departments. Nonetheless, inclusive innovation and social factors are still inadequately examined, since the majority of research emphasizes technical feasibility and productivity over smallholder integration or governance concerns. The report finishes by delineating practical consequences for industry and policymakers, theoretical contributions to digital agriculture and innovation-ecosystem research, and objectives for future endeavors on sustainable, data-driven palm oil systems.
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