Fuzzy Logic Applied to Smart Cow's Wearable Device for Early Detection of Foot and Mouth Disease in Rwanda

Authors : NIRERE Gaudence; Kayalvizhi Jayavel; MASABO Emmanuel

Volume/Issue : Volume 7 - 2022, Issue 6 - June

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3IoSVnE

DOI : https://doi.org/10.5281/zenodo.6806507

Nowadays, the Rwanda is becoming the country where the technology is integrated in agriculture and livestock domains to easily enhance the life conditions of every Rwandan for wellbeing. With the technology development, cow’s health and early detection of disease have gained the importance in agriculture and livestock domains. It is a popular implementation to monitor cow’s health, particularly foot and mouth disease detection. The existing technology solutions covered only the cow’s health monitoring by the use of rectum thermometer to observe the body temperature and the ear tag mounted on the cow’s ear to monitor the identity of each cow. Thus farmers are using the traditional system for controlling the unpredictable killing diseases as cows are freely moving in the farm and employees visit them again by again for observing their health condition so it is so difficult to consult them and suggest treatments in real time. An advance monitoring system in which, mobile and wireless sensors networks are capable of bringing a new way of controlling the cow’s health instead of using many employees in doing that task physically in large farms. The IoT based cow health monitoring system monitors various cow health parameters such as body temperature, lameness and location of cows. In this system, sensors are used for capturing the body temperature and lameness related to the cow behavior where the data are collected, analyzed using fuzzy inference system and the results can be stored in cloud. This work estimates an alert system to notify the veterinary doctor and farmer when abnormal values are leading to the foot and mouth disease early and prevent its spread. The results can be viewed in internet on interfacing ESP8266 Wi-Fi module and in mobile application to provide full information and treatments at real time in which will show the live updates.

Keywords : Internet of Things, Atmega328p, Wi-Fi Module, Sensors, Cow’s Health Monitoring, Fuzzy Inference System, Foot and Mouth Disease, GSM, Cloud Storage.


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