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.