Design of an Embedded System Applying IoT to Reduce the Mortality of Pigs Due to Stress Syndrome Before Being Benefited

Design of an Embedded System Applying IoT to Reduce the Mortality of Pigs Due to Stress Syndrome Before Being Benefited
  IJETT-book-cover           
  
© 2025 by IJETT Journal
Volume-73 Issue-1
Year of Publication : 2025
Author : Jeffry Ricaldi -Cerdan, Paico-Campos Meyluz
DOI : 10.14445/22315381/IJETT-V73I1P120

How to Cite?
Jeffry Ricaldi -Cerdan, Paico-Campos Meyluz, "Design of an Embedded System Applying IoT to Reduce the Mortality of Pigs Due to Stress Syndrome Before Being Benefited," International Journal of Engineering Trends and Technology, vol. 73, no. 1, pp. 237-249, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I1P120

Abstract
Today, per capita consumption of pork has increased considerably in the Peruvian territory, with an average increase of 5%, which has caused some farms to accelerate the processing of pigs. For this, it is very important that the pig, before being processed in the slaughterhouse, is physically and mentally healthy to obtain a good quality product. Some studies indicate that 10% of pigs die before being benefited due to various factors such as stress syndrome, infectious diseases, poor transfer of pigs in transport, among others. Therefore, this article proposes a prototype to monitor pigs at the time of their transfer to the slaughterhouse to reduce the aforementioned mortality. For this, an embedded system is used that applies IoT to monitor in real time through smart sensors that will read the temperature, humidity, acceleration and movement speed of each pig. For this, an air conditioning system is used to control the temperature automatically through the ESP32 platform, sensors such as MPU6050, MQ135 and DHT11, INFLUX DB database and a GRAFANA panel to observe the statistical graphs of the system. Finally, this prototype aims to avoid economic losses on farms, reduce mortality through IoT technology, and ensure that the pigs arrive in the best conditions to obtain fresh, good-quality meat since the latter determines the cost of each pig.

Keywords
IoT, ESP32, Database, Sensors, Embedded System, Pig.

References

[1] Jhonas Vicente-Huaman, and Oscar E Gomez-Quispe, “Evaluation of a Porcine Deltacoronavirus Eradication Program in A Full-Cycle Pig Farm in Peru,” Journal of Advanced Veterinary and Animal Research, vol. 8, no. 2, pp. 300-306, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Joan K. Lunney et al., “Importance of the Pig as A Human Biomedical Model,” Science Translational Medicine, vol. 13, no. 621, pp. 1-19, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Xuan-Truong Nguyen, Linh Manh Pham, and Quang Hung Bui, “Simulation of the Health Monitoring and Disease Warning System on the Pig Herd with a Cloud-based GAMA Platform,” 2023 IEEE/ACIS 8th International Conference on Big Data, Cloud Computing, and Data Science (BCD), Hochimin City, Vietnam, pp. 26-31, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Hanqing Sun, Thelma D. Palaoag, and Qingle Quan, “Design of Pig Farm Environment Regulation and Video Monitoring System Based on Livestock Internet of Things Orbital Inspection Robot,” 2024 7th International Conference on Communication Engineering and Technology (ICCET), Tokyo, Japan, pp. 25-30, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[5] H. I. Hernandez-Antonio et al., “Practical Quantification of Animal Welfare in Pigs From Small Producers in Southern Veracruz, Mexico,” Journal MVZ Cordoba, vol. 26. no. 3, pp. 1-8, 2021.
[Google Scholar]
[6] Yu-Wen Hung et al., “Application of Degradation Technology of Light-Emitting Diode and Auto-Monitoring System for Harmful Substances in Farrowing Areas of a Specific Pathogen-Free Pig Farm,” International Journal of Scientific Research Updates, vol. 6, no. 1, pp. 59-66, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[7] R. M. Petters, and K. D. Wells, “Culture of Pig Embryos,” Journal of Reproduction and Fertility Ltd, vol. 48, pp. 61-73, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[8] N. Barlocco et al, “Reproductive Behavior of Pampa Rocha Sows and Their Crossbreeding with Duroc Under Permanent Grazing Conditions,” Agroscience Uruguay, vol. 13. no. 3, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Geunho Lee et al., “Wireless IC Tag Based Monitoring System for Individual Pigs in Pig Farm,” 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech), Osaka, Japan, pp. 168-170, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Santosh Pandey et al., “Behavioral Monitoring Tool for Pig Farmers: Ear Tag Sensors, Machine Intelligence, and Technology Adoption Roadmap,” Animals, vol. 11, no. 9, pp. 1-12, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Salvador Perez Martos, “Design of an Iot System for Monitoring a Pig Farm,” Bachelor Thesis, Polytechnic University of Cartagena, Murcia, 2022.
[Google Scholar] [Publisher Link]
[12] Alex Fernando Loja Aguilar, and Edwin Mauricio Naula Cedacero, “Design of a Positioning and Environmental Temperature Monitoring System for Cattle Using a Local Area Network,” Thesis, Institutional Repository of the Salesian Polytechnic University, pp. 1-59, 2022.
[Google Scholar] [Publisher Link]
[13] Zeng Zhixiong et al., “Design and Experiment of Wireless Multi-Point and Multi-Source Remote Monitoring System for Pig House Environment,” Nongye Jixie Xuebao Transactions of the Chinese Society for Agricultural Machinery, vol. 51, no. 2, pp. 332-340 and 349, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Marcia Cristina Hidalgo Heredia, and Kevin Israel Leon Tapia, “Design and Implementation of a Mechatronic System for the Control and Monitoring of Temperature, Humidity and Ammonia in the Pig Rearing Room of the Company Italimentos CIA. LTDA. Located in Santa Rosa,” Thesis, Institutional Repository of the Salesian Polytechnic University, pp. 1-84, 2021.
[Google Scholar] [Publisher Link]
[15] Isak Shabani, Tonit Biba, and Betim Cico, “Design of a Cattle-Health-Monitoring System Using Microservices and IoT Devices,” Computers, vol. 11, no. 5, pp. 1-17, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Kamepalli Alekhya et al., “Ambient Air Quality Monitoring System,” 2023 International Conference for Advancement in Technology (ICONAT), Goa, India, pp. 1-5, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Soraya Norma Mustika et al., “Smart Garden Monstera Adansonii Based on IoT Using DHT11,” 2023 3rd International Conference on Electrical Engineering and Informatics (ICon EEI), Pekanbaru, Indonesia, pp. 153-156, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[18] K. Chitra et al., “Animals Detection System in the Farm Area Using Iot,” 2023 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, pp. 1-6, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Joni Welman Simatupang, Aida Mahdalena Lubis, and Vincent, “IoT-Based Smart Parking Management System Using ESP32 Microcontroller,” 2022 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), Jakarta, Indonesia, pp. 305-310, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Patil Nagalakshmi et al., “Nanotech-Assisted Wireless Gas Monitoring,” 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India, pp. 945-950, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Muhammad Zharfan Mulawa, and Ir. Dwi Nur Fitriyanah, “Design of Portable Automatic Clothes Dryer with Fuzzy Logic Controller,” 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA), Surabaya, Indonesia, pp. 1-7, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Shabnam, and Manju Pandey, “Digital Twin: Iot Resources Metrics Measurement Using the Server-Based Agent,” 2023 OITS International Conference on Information Technology (OCIT), Raipur, India, pp. 805-810, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Hashimah Hashim et al., “The Real-Time Monitoring of Air Quality Using IOT-Based Environment System,” 2023 19th IEEE International Colloquium on Signal Processing and Its Applications (CSPA), Kedah, Malaysia, pp. 54-58, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Satea Hikmat Alnajjar, and Haneen Mohammed Mahmoud, “Internet of Things-Based Air Pollution Monitoring System for the Indoor Environment Utilizing Light Fidelity Technology,” 2023 9th International Conference on Optimization and Applications (ICOA), AbuDhabi, United Arab Emirates, pp. 1-5, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Mahvish Konain et al., “IoT Based Solar-Powered Mushroom Farming for Sustainable Agriculture,” 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India, pp. 944-948, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Praveen Kumar Malik et al., “Development of a Low-cost IoT device using ESP8266 and Atmega328 for Real-time Monitoring of Outdoor Air Quality with Alert,” 2023 3rd International Conference on Advancement in Electronics and Communication Engineering (AECE), GHAZIABAD, India, pp. 125-129, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Jovan C. Aguila et al., “Mimicking 3-DOF Human Upper Neck Movement using Wearable MPU6050 IMU Sensor-Based Device with Tilt Compensation Algorithm,” 2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI), Tiruchengode, India, pp. 1-6, 2023.
[CrossRef] [Google Scholar] [Publisher Link]