Design and Implementation of Temperature and Humidity Monitoring System Using LPWAN Technology

Danladi, Muhammad Sani; Baykara, Muhammet

doi:10.18280/isi.270401

Cited by 4 publications

(3 citation statements)

References 21 publications

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“…This method also saves money on the transmission of information by adjusting van schedules if required. By adding automated in the area, this idea completely approaches and solves the administration of bio-medical waste [19,20].…”

Section: Discussionmentioning

confidence: 99%

Classification, Collection, and Notification of Medical Waste Using IoT Based Smart Dust Bins

Rakesh¹,

Ramya²,

Murugan³

2023

ISI

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Hospitals generate a significant amount of highly hazardous medical waste. Waste collectors were now responsible for the majority of waste separation. Currently, hazardous medical waste, including substrate materials, syringes, and other items were separated manually, causing serious problems. Automatic waste separation is proposed for the separation of biowaste produced in hospitals. When waste disposal is identified, the treadmill is moved by an external motor. These wastes would be sent to the Sensing and Classification Units. The source image is captured, preprocessed, median filtered, contrast adjusted, and then classified in five steps. After the steps, the outcome would be assessed using the characteristics collected from the Grey Ordered Model (GOM) and transferred to the trash after the separation procedure. To determine the level of waste in dustbins, an infrared sensor, a moisture sensor, a pressure sensor, and an ultrasonic sensor are used.

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Section: Discussionmentioning

confidence: 99%

Classification, Collection, and Notification of Medical Waste Using IoT Based Smart Dust Bins

Rakesh¹,

Ramya²,

Murugan³

2023

ISI

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“…Conducting packet loss tests is an essential step in ensuring the integrity and efficiency of data transmission within the LoRa network [101]. The main goal of this testing is to identify the frequency and causes of packet loss during the data transmission process from LoRa sensor nodes to the gateway, and thereafter to TTN/ThingsBoard [102]. The purpose of these tests is to evaluate the impact of distance and environmental conditions on packet loss and to analyze at which stage the packet loss most frequently occurs, whether from the sensor node to the gateway, from the gateway to TTN, or TTN to ThingsBoard.…”

Section: F Performance Testingmentioning

confidence: 99%

Development of Microclimate Data Recorder on Coffee-Pine Agroforestry Using LoRaWAN and IoT Technology

Nurwarsito,

Suprayogo,

Sakti

et al. 2024

Journal of Robotics and Control

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Microclimate monitoring in agroforestry is very important to understand the complex interactions between vegetation, soil, and the environment. Microclimate parameters include air and soil temperature, air humidity, soil moisture, and light intensity. This research aims to develop a new microclimate data recording system for coffee-pine agroforestry, utilizing LoRaWAN and IoT technology to capture real-time microclimate parameters. Unlike traditional data loggers that require manual download on-site, this innovative system enables instant data download from IoT servers, thereby increasing data efficiency and accessibility. The system proved effective, significantly improving the precision of air temperature and humidity, as well as soil temperature measurements, with an average accuracy of 100%. However, soil moisture and light intensity recorded lower accuracies of 81.23% and 82.56%, respectively, indicating potential areas for future research and system refinement. The system maintains a 15-minute sampling period, aligning with conventional datalogger intervals. This represents an advancement in precision agriculture for microclimate monitoring, enabling the data to be utilized in decision-making for agroforestry management, which involves complex interactions between the local microclimate and the broader ecological system. It underscores the significance of sustainable land use as a response to global climate change.

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“…Temperature and humidity monitoring system [THMS] implemented based on low-power and wide-area network (LPWAN). The tedious job of Manual registration of end devices on the application server was eliminated as well [26].…”

Section: Introductionmentioning

confidence: 99%

Smart Farm: Agriculture System for Farmers Using IoT

Wahul,

Sonawane,

Kale

et al. 2023

ISI

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In 2050, the worldwide populace is assessed to be about 9.7 billion, because of which there will be incredible food inevitability. So as to address this issue, it is important to build the current arrangement of agriculture system. The conventional method of agribusiness is fine, yet at the same time it won't meet the world's whole food necessities. Here utilization of past information mining methods in assessment of yields and environmental change is used to take better decision of crop for farmer, choices made for cultivating and increase the necessary financial return. A huge issue that can be beaten reliant on past experience is the issue of yield assessment. Thus, from crop cultivation to crop market systematic approach is proposed using CNN framework with Smart Farm IoT. Utilizing Temperature, Humidity, Rainfall (THR) concept to get to trim creation design in light of climatic conditions, for example, precipitation, temperature, humidity and so on. Harvest expectation is a precondition, and forecast of illness is a post-condition for the assortment of information from a field or zone from a climate boundary test. Furthermore, utilizing this proposed framework farmer gets correct fertilizer prediction for diseases as well as the nearest fertilizer shops are recommended.

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Design and Implementation of Temperature and Humidity Monitoring System Using LPWAN Technology

Cited by 4 publications

References 21 publications

Classification, Collection, and Notification of Medical Waste Using IoT Based Smart Dust Bins

Classification, Collection, and Notification of Medical Waste Using IoT Based Smart Dust Bins

Development of Microclimate Data Recorder on Coffee-Pine Agroforestry Using LoRaWAN and IoT Technology

Smart Farm: Agriculture System for Farmers Using IoT

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