IoT-Driven Smart Management in Broiler Farming: Simulation of Remote Sensing and Control Systems

TL;DR

This paper presents an IoT-based automation system for broiler farming that uses sensor networks, embedded systems, and cloud services to monitor and control environmental factors, aiming to enhance productivity and sustainability.

Contribution

It introduces a simulation-based IoT framework for broiler management, integrating sensors, control systems, and cloud services for improved decision-making.

Findings

Successful simulation of temperature and feeding control

Enhanced monitoring capabilities through IoT sensors

Potential for scalable, cost-effective automation solutions

Abstract

Parameter monitoring and control systems are crucial in the industry as they enable automation processes that improve productivity and resource optimization. These improvements also help to manage environmental factors and the complex interactions between multiple inputs and outputs required for production management. This paper proposes an automation system for broiler management based on a simulation scenario that involves sensor networks and embedded systems. The aim is to create a transmission network for monitoring and controlling broiler temperature and feeding using the Internet of Things (IoT), complemented by a dashboard and a cloud-based service database to track improvements in broiler management. We look forward this work will serve as a guide for stakeholders and entrepreneurs in the animal production industry, fostering sustainable development through simple and cost-effective automation solutions. The goal is for them to scale and integrate these recommendations into their existing operations, leading to more efficient decision-making at the management level.