System of Carbon Dioxide (Co2) Detection Using Sim7600 Communication Module in Palm Oil Plantations

Batubara, Febrin Aulia; Sundawa, Bakti Viyata; Nasution, Tuti Adi Tama

doi:10.53893/ijrvocas.v2i4.171

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…One of the components developed is the use of a communication module from sim800 to sim7600 and implementation of the device on oil palm plantations. This research is about a system for detecting CO2 level in oil palm plantations [12]. It has been published in a reputable international journal with the link: http://journal.gpp.or.id/index.php/ijrvocas/article/view/171.…”

Section: Methodsmentioning

confidence: 99%

Design of Environmental Detector System (EDS) application through industrial and vocational collaboration

Sundawa,

Hutabarat,

Nasution

et al. 2024

p.ISST

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Politeknik Negeri Medan (POLMED) as a vocational institution and PT Berkat Solusi Teknik as a partner have the same responsibility to solve problems that exist in society. Problems in society related to pollution from industrial waste. This is due to many complaints from the public, NGO, and other organizations regarding environmental damage due to production and economic activities. Based on the problems above, this study is needed to detect and monitor environmental parameters such as CO2 level, lighting, noise, temperature, humidity, and measurement data that can be accessed and displayed in real-time via the internet. The implementation method is strengthening work organization, making EDS prototype brackets, design of an environmental detector system (EDS) prototype, prototype testing, MBKM internship, international conferences, monitoring and coordinating with partner, internal monitoring, and evaluation I and II, and preparation of final report. We innovate in the selection of components and the technology used. This collaboration is a symbiotic mutualism between POLMED and industry. The results are in average values, namely the density of dust particles is 1.418 µg/m3. Temperature 36.60oC. Humidity 53.82%RH. Light intensity 10,615 lux. These values above are still normal condition, and there is no pollution in campus. Especially for temperature and humidity. This condition above on the threshold.

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Section: Methodsmentioning

confidence: 99%

Design of Environmental Detector System (EDS) application through industrial and vocational collaboration

Sundawa,

Hutabarat,

Nasution

et al. 2024

p.ISST

View full text Add to dashboard Cite

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Palm Oil Tree Canopy Identification Using Deep Learning Approach (Case Study: Tanjung Gusta District, North Sumatera)

Fitri Alya,

Hapsari Handayani,

Fuad Rachmadi

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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The palm oil plantation industry in Indonesia has growing rapidly as demand for palm oil increases globally. This needs to be supported by technological innovation to increase palm oil production. One of them is to integrate the power of artificial intelligence technology. This research aims to develop a robust and accurate method for segmenting oil palm trees in plantation areas. Leveraging deep learning algorithms techniques, the research explores the potential of SAM in accurately delineating individual oil palm trees derived from aerial imagery data. The study also involves the development of a comprehensive and versatile labelled dataset to support the training and validation of the deep learning models for oil palm tree counting and segmentation. The performance of the proposed approach is evaluated and discussed critically. This research demonstrates the potential of deep learning algorithms for large-scale mapping and accurate counting of oil palm trees in plantation areas. The author hopes that the result and analysis of this research will give insight and improvement in detecting oil palm trees using automatic method.

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System of Carbon Dioxide (Co2) Detection Using Sim7600 Communication Module in Palm Oil Plantations

Cited by 2 publications

References 13 publications

Design of Environmental Detector System (EDS) application through industrial and vocational collaboration

Design of Environmental Detector System (EDS) application through industrial and vocational collaboration

Palm Oil Tree Canopy Identification Using Deep Learning Approach (Case Study: Tanjung Gusta District, North Sumatera)

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