Automatic Cleaning System of Chicken Coop
Abstract
A This study aims to develop an automated cleaning system for chicken coops using Internet of Things (IoT) technology. The system utilizes IoT technology to monitor and control the condition of the coop in real-time and provide notifications to the farmer through a mobile application. The main specifications of the system include scheduled feeding, system status monitoring, alarm notifications, and database communication. The system utilizes Arduino Mega 2560 + Wi-Fi built in Esp8266 as the microcontroller, in case of any discrepancies in the system status, such as low food or water capacity, the system triggers alarms or sends notifications to the mobile application. Additionally, the system operates continuously for 24 hours and maintains communication with the database to ensure up-to-date information. It also features an automated cleaning function that can schedule regular cleaning of the coop using water. The farmer can control the cleaning process through buttons located near the coop. During the system verification, the scheduled Cleaning, status alert feature, system uptime, communication between the system and the database, and automated cleaning functionality were tested and verified according to the specified requirements. This research provides a practical and efficient solution for managing broiler chicken coops. The system allows real-time monitoring of coop conditions, improves cleaning efficiency, and enhances coop cleanliness. Implementing this system can boost farm productivity and facilitate overall coop management.
Downloads
References
[2] N. Bumanis, A. Kviesis, A. Tjukova, I. Arhipova, L. Paura, and G. Vitols, “Smart Poultry Management Platform with Egg Production Forecast Capabilities,” Procedia Comput Sci, vol. 217, pp. 339–347, 2023, doi: 10.1016/j.procs.2022.12.229.
[3] Y. Yin, A. Diao, Z. Li, Q. Wang, and S. Liu, “Design of an Automatic Ground Cleaning Machine for Dedusting Rooms of Chicken Houses,” Agriculture, vol. 13, no. 6, p. 1231, Jun. 2023, doi: 10.3390/agriculture13061231.
[4] P. Kumar Reddy Maddikunta et al., “Incentive techniques for the Internet of Things: A survey,” Journal of Network and Computer Applications (JNCA), pp. 1–25, 2022, doi: 10.1016/j.jnca.2022.103464ï.
[5] A. L. Prasasti, R. R. Septiawan, and M. H. Alfarisi, “IoT-Based Banknotes Saving Automation System,” [CEPAT] Journal of Computer Engineering: Progress, Application and Technology, vol. 2, no. 01, p. 1, Feb. 2023, doi: 10.25124/cepat.v2i01.5499.
[6] Sefto, I. Jaya, and M. Iqbal, “Design and implementation of waste cleaning automation system for the shrimp pond bottom,” in IOP Conference Series: Earth and Environmental Science, Institute of Physics Publishing, Feb. 2020. doi: 10.1088/1755-1315/429/1/012050.
[7] F. Afira and J. W. Simatupang, “Real-Time Web-based Dashboard using Firebase for Automated Object Detection Applied on Conveyor,” Green Intelligent Systems and Applications, vol. 3, no. 1, pp. 35–47, Jun. 2023, doi: 10.53623/gisa.v3i1.251.
[8] Y. Totani, S. Kotani, K. Odai, E. Ito, and M. Sakakibara, “Real-Time Analysis of Animal Feeding Behavior with a Low-Calculation-Power CPU,” IEEE Trans Biomed Eng, vol. 67, no. 4, pp. 1197–1205, Apr. 2020, doi: 10.1109/TBME.2019.2933243.
[9] P. Rahardjo, “Sistem Penyiraman Otomatis Menggunakan Sensor Kelembaban Tanah Berbasis Mikrokontroler Arduino Mega 2560 Pada Tanaman Mangga Harum Manis Buleleng Bali,” Majalah Ilmiah Teknologi Elektro, vol. 21, no. 1, p. 31, Jul. 2022, doi: 10.24843/mite.2022.v21i01.p05.
[10] W. Indrasari and L. V. Kadarwati, “Prototype of water level monitoring system using magnetic sensor and ultrasonic based on Arduino Mega 2560,” in Journal of Physics: Conference Series, Institute of Physics, Feb. 2022. doi: 10.1088/1742-6596/2193/1/012052.
[11] R. Boya Marqas, S. M. Almufti, and R. Rajab Asaad, “Firebase Efficiency in Csv Data Exchange Trought Php-Based Website,” Academic Journal of Nawroz University, vol. 11, no. 3, pp. 410–414, Aug. 2022, doi: 10.25007/ajnu.v11n3a1480.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
CEPAT has chosen to apply the Creative Commons Attribution NonCommercial 4.0 License (CC BY-NC 4.0) to all manuscripts to be published. Authors who publish with this journal agree to the following terms.
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
