Claim Missing Document
Check
Articles

Found 2 Documents
Search

Internet of Things Integration for Land Management and Agricultural Production Parwito Parwito; Edi Susilo
SMART : Jurnal Teknologi Informasi dan Komputer Vol. 1 No. 2 (2022): July-December
Publisher : Gayaku Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/xmqavr71

Abstract

The rapid development of digital technology has ushered in the era of Agriculture 4.0, where the Internet of Things (IoT) serves as the primary backbone for optimizing agricultural processes. This article explores the integration of IoT for land management and agricultural production, focusing on research and publications from 2017 to 2022. By implementing various sensors, connectivity layers, and data analysis platforms, IoT enables real-time monitoring of environmental parameters, leading to precision agriculture. The results indicate that IoT integration can increase crop yields by up to 40% while reducing water and nutrient waste by 25-30%. Furthermore, this study discusses the technical architecture, implementation challenges in Indonesia, and the economic benefits of smart farming. The comprehensive analysis aims to provide a strategic framework for stakeholders to adopt IoT solutions in enhancing national food security.
Utilization of Sensors and IoT in Smart Agriculture: A Systematic Literature Review (2017–2022) Parwito Parwito; Edi Susilo; Andreani Kinata; Susi Handayani
SMART : Jurnal Teknologi Informasi dan Komputer Vol. 1 No. 2 (2022): July-December
Publisher : Gayaku Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/h2s5qg97

Abstract

The global agricultural landscape is undergoing a paradigm shift toward "Agriculture 4.0," where data-driven decisions replace traditional intuition. This transformation is underpinned by the integration of sensor technology and the Internet of Things (IoT). This article presents a comprehensive systematic literature review (SLR) of research published between 2017 and 2022, focusing on the technical nuances of sensors, network architectures, and their socio-economic impacts. By analyzing over 20 key publications, the study identifies a transition from resistive to capacitive sensing technologies and the dominance of LPWAN protocols in large-scale farming. The findings highlight that IoT integration leads to a 30-40% increase in productivity and a significant reduction in resource waste. This review provides a strategic roadmap for implementing smart farming solutions, emphasizing the need for infrastructure development and digital literacy in developing economies like Indonesia..