Huda, A.S. NazmulTaz, Nahid HossainAntara, Raihana Shams IslamAhmed, SafayetNiloy, Tanjim RahmanHossain, Md SazzadHossain, KhelafatShams, Kazi Ananda2023-09-192023-09-1920232023-05ID 18321037ID 18321055ID 18321051ID 1622104118221051http://hdl.handle.net/10361/20996Cataloged from PDF version of thesis.Includes bibliographical references (pages 116-117).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2023.This abstract presents an IoT based Cow Health Monitoring and Disease Detection. The system uses different sensors to monitor cow health parameters. Moreover, the health parameters data is then transmitted to IoT analytics platform via IoT connectivity for further analyzation, visualization of cow health and anticipation of cow diseases. The system is also intended to be highly effective and affordable, making it a feasible option for large-scale application in diverse cow farms. A variety of farmers can utilize the system because it is made to be user-friendly and simple to setup. By giving access to regular cow health monitoring, this suggested IoT-based Cow Health Monitoring and Disease Detection system has the potential to improve cow health and farm quality.146 pagesenBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.CowIoTFarmingDiseasesUser-friendlyInternet of thingsThesis