Design And Develop An Iot Application That Automatically Controls The Environment Affecting Shrimp Pond Quality Based On Abnormal Signs

Abstract

This thesis presents the development and implementation of a comprehensive mobile application designed specifically for shrimp farmers. The application aims to enhance farm management efficiency and optimize yield through data-driven decision-making. Key features of the application include real-time water quality monitoring and the integration of IoT sensors to provide actionable insights, enabling farmers to respond promptly to environmental changes. Field tests and user feedback from pilot deployments in several shrimp farms indicate significant improvements in operational efficiency and overall productivity. The study concludes that the application streamlines farm management practices and contributes to sustainable aquaculture by promoting best practices and reducing the risk of adverse environmental impacts. This innovative tool represents a significant advancement in the digital transformation of aquaculture, offering a scalable solution to meet the evolving needs of shrimp farmers worldwide.