Dorper BSI Monitoring with Load Cells and Raspberry PI

Abstract

The paper describes an alternative method to weigh and monitor the health of livestock via BSI. One method is by recording the measured weight for each livestock for daily weight comparison. The farmer needs to manually lift each of the livestock onto the weighing scale, using rope, producing risk of injury to both farmer and livestock. The main purpose of this project is to enhance the existing weight process by developing a weighing scale which is durable, easy to maintain as well as equipped with online database to store the weight of the livestock for monitoring purposes. Hardware consisting of load cell, HX711 and Raspberry Pi while the software will be written using Python programming language and LAMP to create a web server for storing acquired data. The system’s prototype takes accurate and stable reading in experiments simulating a livestock walking onto the weighing platform with an error rate of 0.1kg. Finally, the implementation of this system shall increase farmers productivity as well as redusing risk for injury.