A Real-Time Web-Based Monitoring System for Stingless Bee Farming

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) Pub Date : 2022-09-13 DOI:10.1109/IICAIET55139.2022.9936841

Bill Acherllys Jailis, A. Kiring, H. T. Yew, L. Barukang, Y. Y. Farm, F. Wong

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Abstract

The low yields in stingless honeybee production have impacted the daily earnings of small size farmers. The IoT-based monitoring system is presented to improve the earnings of stingless bee farmers by helps farmers to gain a better under-standing of their farm and boost honey production. The system uses an Arduino Uno ATmega328P and DHT22 sensor to monitor the temperature and humidity inside the hive continuously and transmit the data wirelessly to a server for monitoring and analysis. Furthermore, 30 days of practical monitoring indicates that the system can operate without human intervention and was successfully observed the living condition inside the stingless beehive. Data is collected every 30 minutes for 30 days by the sensor and stored in the cloud. The temperature inside the hive has to be maintain not exceeding 35°C and the humidity level is proposed to be not exceeding 78% to achieve optimal living condition for stingless beehives. The system can be extended with multiple sensors to allow farmers make informed decisions on the condition and activity within the beehive.

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一种基于网络的无刺养蜂实时监测系统

无刺蜜蜂生产的低产量影响了小农的日常收入。基于物联网的监测系统旨在通过帮助农民更好地了解他们的农场和提高蜂蜜产量来提高无刺蜜蜂农民的收入。该系统使用Arduino Uno ATmega328P和DHT22传感器连续监测蜂箱内部的温度和湿度，并将数据无线传输到服务器进行监测和分析。此外，30天的实际监测表明，该系统可以在没有人为干预的情况下运行，并成功地观察了无刺蜂巢内的生活状况。传感器每30分钟采集一次数据，持续30天，并将数据存储在云端。蜂箱内温度应保持不超过35℃，湿度建议不超过78%，以达到无刺蜂巢的最佳生存状态。该系统可以扩展多个传感器，使农民能够根据蜂巢内的状况和活动做出明智的决定。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)

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