Development of Internet of Things-Based Rumen Health Monitoring Prototype with Fuzzy Logic Controllers for Cattle.

In this study, a prototype based on fuzzy logic (FL) controller and internet of things (IoT) was developed to monitor rumen health parameters in cattle. In the system build as a prototype, the monitoring process related to the parameters is followed through three different applications developed on the Android operating system, the Thingspeak service and the WEB environment. The first application, which is an Android-based program, warns the user in case of any abnormality related to the rumen health. The other two applications allow monitoring and analyzing rumen health parameters in real time. The system implements a process that measures at varying time intervals to display the values of rumen health parameters, pH and temperature. The management of this process is carried out by the FL controller depending on the pH and temperature changes. This measurement, which is made at varying time intervals, is the most important feature that distinguishes our study from studies in the literature. Because in the studies reported in the literature, measurements are made at fixed time intervals. The relevant feature brings with it two important contributions for the system we propose. The first is to accelerate the precautions to be taken regarding animal health by enabling the system to measure at more frequent intervals in cases of deterioration in the pH level of rumen. The second is to reduce the energy consumed by the parameter measuring device from the battery by allowing the system to measure at longer intervals when the pH level of rumen is in balance. [ABSTRACT FROM AUTHOR]