IoT Stingless Bee Colony Monitoring System
The IoT monitoring system for stingless bee colonies aims to provide real-time information about temperature, humidity, and hive weight in response to the issue of colony collapse disorder (CCD) caused by human intervention in beekeeping. It also aims to improve the current monitoring methods for th...
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| Format: | Article |
| Language: | English |
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Ferdowsi University of Mashhad
2025-03-01
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| Series: | Journal of Agricultural Machinery |
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| Online Access: | https://jame.um.ac.ir/article_46338_765e7a361c686602c7573f9cebf69149.pdf |
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| author | R. J. Arendela R. A. Ebora E. Arboleda J. L. M. Ramos M. Bono D. Dimero |
| author_facet | R. J. Arendela R. A. Ebora E. Arboleda J. L. M. Ramos M. Bono D. Dimero |
| author_sort | R. J. Arendela |
| collection | DOAJ |
| description | The IoT monitoring system for stingless bee colonies aims to provide real-time information about temperature, humidity, and hive weight in response to the issue of colony collapse disorder (CCD) caused by human intervention in beekeeping. It also aims to improve the current monitoring methods for the bees more effectively and efficiently. The monitoring system features a water-cooling control system to maintain an optimal temperature for Tetragonula Biroi (Stingless Bees). The system also includes a user dashboard for remote monitoring and alerts the beekeeper when it is time to harvest. It’s primarily built around the ESP8266-MOD microcontroller, with an Arduino Mega 2560 R3 for the water valve control system. Data were collected from a DHT22 sensor for temperature and humidity, and load cells connected to an HX711 amplifier for hive weight. The system was tested by comparing samples from the system and actual measuring instruments using MAPE for two months, and it demonstrated 98.74% and 97.89% accuracy for surrounding temperature and humidity, respectively. An accuracy of 95.92% for the weight scale and 93% for the water valve control system was also obtained. Hives equipped with the IoT system gained 3.414% more weight than those without it, indicating that the project succeeded in achieving its objectives. |
| format | Article |
| id | doaj-art-2cc8fbc8f3da436084ca6334cf3a6090 |
| institution | OA Journals |
| issn | 2228-6829 2423-3943 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Ferdowsi University of Mashhad |
| record_format | Article |
| series | Journal of Agricultural Machinery |
| spelling | doaj-art-2cc8fbc8f3da436084ca6334cf3a60902025-08-20T02:11:01ZengFerdowsi University of MashhadJournal of Agricultural Machinery2228-68292423-39432025-03-01151476310.22067/jam.2024.86261.122246338IoT Stingless Bee Colony Monitoring SystemR. J. Arendela0R. A. Ebora1E. Arboleda2J. L. M. Ramos3M. Bono4D. Dimero5Department of Computer, Electronics and Electrical Engineering (DCEE), College of Engineering and Information Technology, Cavite State University, Indang (Main Campus), Indang, Cavite, PhilippinesDepartment of Computer, Electronics and Electrical Engineering (DCEE), College of Engineering and Information Technology, Cavite State University, Indang (Main Campus), Indang, Cavite, PhilippinesDepartment of Computer, Electronics and Electrical Engineering (DCEE), College of Engineering and Information Technology, Cavite State University, Indang (Main Campus), Indang, Cavite, PhilippinesDepartment of Computer, Electronics and Electrical Engineering (DCEE), College of Engineering and Information Technology, Cavite State University, Indang (Main Campus), Indang, Cavite, PhilippinesCvSU Bee Research, Innovation, Trade, and Extension (BRITE) Center, Cavite State University, Indang, Cavite, PhilippinesCvSU Bee Research, Innovation, Trade, and Extension (BRITE) Center, Cavite State University, Indang, Cavite, PhilippinesThe IoT monitoring system for stingless bee colonies aims to provide real-time information about temperature, humidity, and hive weight in response to the issue of colony collapse disorder (CCD) caused by human intervention in beekeeping. It also aims to improve the current monitoring methods for the bees more effectively and efficiently. The monitoring system features a water-cooling control system to maintain an optimal temperature for Tetragonula Biroi (Stingless Bees). The system also includes a user dashboard for remote monitoring and alerts the beekeeper when it is time to harvest. It’s primarily built around the ESP8266-MOD microcontroller, with an Arduino Mega 2560 R3 for the water valve control system. Data were collected from a DHT22 sensor for temperature and humidity, and load cells connected to an HX711 amplifier for hive weight. The system was tested by comparing samples from the system and actual measuring instruments using MAPE for two months, and it demonstrated 98.74% and 97.89% accuracy for surrounding temperature and humidity, respectively. An accuracy of 95.92% for the weight scale and 93% for the water valve control system was also obtained. Hives equipped with the IoT system gained 3.414% more weight than those without it, indicating that the project succeeded in achieving its objectives.https://jame.um.ac.ir/article_46338_765e7a361c686602c7573f9cebf69149.pdfenvironmental parametershive weightiot monitoring systemremote monitoringstingless bee colony |
| spellingShingle | R. J. Arendela R. A. Ebora E. Arboleda J. L. M. Ramos M. Bono D. Dimero IoT Stingless Bee Colony Monitoring System Journal of Agricultural Machinery environmental parameters hive weight iot monitoring system remote monitoring stingless bee colony |
| title | IoT Stingless Bee Colony Monitoring System |
| title_full | IoT Stingless Bee Colony Monitoring System |
| title_fullStr | IoT Stingless Bee Colony Monitoring System |
| title_full_unstemmed | IoT Stingless Bee Colony Monitoring System |
| title_short | IoT Stingless Bee Colony Monitoring System |
| title_sort | iot stingless bee colony monitoring system |
| topic | environmental parameters hive weight iot monitoring system remote monitoring stingless bee colony |
| url | https://jame.um.ac.ir/article_46338_765e7a361c686602c7573f9cebf69149.pdf |
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