Farm animal inventory system / Uwais Hasif Ahmad Nizam

Ahmad Nizam, Uwais Hasif (2024) Farm animal inventory system / Uwais Hasif Ahmad Nizam. [Student Project] (Unpublished)
Abstract

Farmers face substantial challenges because of farm animal disappearances, affecting their way of life and generating concerns about animal welfare. The current paper-based farm inventory method is problematic, as it is difficult to obtain and impedes effective management. Traditional inventory systems that rely on human data entry are inefficient and prone to mistakes, resulting in poor animal supply distribution and inventory imbalances.
The integration of Internet of Things (IoT) technology is presented as a solution to these difficulties. IoT is a great option since it provides real-time data and improves accessibility. The proposed technique is divided into two parts: hardware development and data presentation. Ultrasonic sensors and RFID readers are used to detect animal presence and scan unique identification codes affixed to each animal. This allows for accurate tracking and monitoring of animal inventory. The data presentation step is concerned with giving farmers information.
The key conclusion of the study is that deploying an IoT-based farm animal inventory system increases overall farm efficiency. Farmers can manage their animal population properly and immediately ascertain the number of animals in inventory. This approach decreases the likelihood of animal loss or theft, resulting in greater farm productivity and well-being. The use of IoT technology into the farm animal inventory system provides substantial benefits, including accurate and accessible real-time monitoring, more effective resource management, and the reduction of hazards connected with animal disappearances

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