Development of a Low-Cost Wireless Bee-Hive Temperature and Sound
                        Monitoring System

Imoize, Agbotiname Lucky; Odeyemi, Samuel Damilola; Adebisi, John Adetunji

doi:10.11591/ijeei.v8i3.2268

Cited by 2 publications

(1 citation statement)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The visual inspection provided a clear image for the beekeepers to monitor their colonies activities and behaviours, including the sound of swarming, pressure, camera, force, accelerometer, etc. Imoize et al [7] observed sound of the swarming with the relation of temperature with Arduino Uno. Based on the finding, the highest sound intensity was recorded approximately at 15:10 pm with temperature of 25.5 °C.…”

Section: Related Workmentioning

confidence: 99%

IoT Based Monitoring System for Stingless Bees Colony in IIUM

Rosli

Malik

Ahmad

2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Currently, the beekeeping method in IIUM is based on manual monitoring by human inspection to see the condition of the stingless bees. However, frequent manual monitoring by opening the lid can stress the colonies causing colony collapsed disorder (CCD). Therefore, this project offers a smart apiary system prototype to add value in preserving the species and the environment because bees are good pollinators. It can benefit the users in tracking the health status of stingless bees by proposing an IoT-based monitoring system. One way is to develop a real-time autonomous beekeeping system that offers several insights to the apiarists in terms of weight, temperature, humidity and pressure caused by intrusions. These parameters can be monitored with a wireless mobile application. The hardware consists of a microcontroller board (Arduino Uno) based on the ATmega328P, a DHT11 temperature and humidity sensor, an HX711 load cell sensor and an FSR402 force sensor connected to ESP8266 wifi module for internet access. The user interface was developed with the Blynk platform to display all information and provide alarms for unwanted incidents or emergencies that need to be catered, such as sudden pressure surges exerted on the beehive log and temperature beyond 40°C.

show abstract

Section: Related Workmentioning

confidence: 99%

IoT Based Monitoring System for Stingless Bees Colony in IIUM

Rosli

Malik

Ahmad

2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

Embedded Microprocessor Wireless Communication Data Collection Aids in Early Warning of Default Risk for Internet Finance Bank Customers

2021

Journal of Sensors

View full text Add to dashboard Cite

Thanks to the maturity and innovation of embedded technology, products based on embedded platforms continue to penetrate people’s lives and play a pivotal role in various fields of society, while the development of data acquisition systems based on wireless communication of embedded microprocessors is one of the frontier directions of embedded development. Modern commercial bank risk management system includes risk control organization, risk measurement techniques (including risk warning), risk avoidance techniques, and total risk management model. In this paper, a multichannel data acquisition system combined with a wireless sensor platform is designed for early warning of default risk of Internet financial bank customers, which can realize real-time monitoring, acquisition, display, and data storage of DC signals and indoor environment information output from sensor platforms or electronic devices, and for frequent transactions, fund splitting, and mortgage pledging related to complex customers in today’s e-commerce platform, which triggers when the associated enterprise credit risk presents complexity, continuity, wholeness, multiplicity, volatility, severity, etc., it is used to improve risk judgment and risk warning ability, enhance investment risk response ability, and reduce the related losses caused by marketing risk.

show abstract

Development of a Low-Cost Wireless Bee-Hive Temperature and Sound Monitoring System

Cited by 2 publications

References 30 publications

IoT Based Monitoring System for Stingless Bees Colony in IIUM

IoT Based Monitoring System for Stingless Bees Colony in IIUM

Embedded Microprocessor Wireless Communication Data Collection Aids in Early Warning of Default Risk for Internet Finance Bank Customers

Contact Info

Product

Resources

About