@DIA APPLICATION FOR IRRIGATION SIZING BY SPRAYING

Abstract

This article presents the development of @Dia, a multiplatform software for sizing sprinkler supervision, which aims to offer a cohesive and essential solution to improve the efficiency and sustainability of agricultural systems. The developed application comprises all stages of the sizing process, from the collection of basic project data, such as location, area, culture and agronomic, hydraulic and climatic conditions, to the definition of equipment, including parameters of motor pumps, sprinkler models and of pipes. The system is intended to optimize the use of water, energy and financial resources, ensuring a uniform and efficient distribution of efficiency. The software was developed using the Flutter framework for the front-end and Express.js for the RESTful API, which communicates with the NoSQL MongoDB database hosted in the cloud. The application offers an interactive and functional experience, enabling sizing variables to be edited at any time and allowing users to save their projects, which can be accessed later on both web and mobile platforms. Furthermore, the results screen allows the export of generated data in formats such as PDF and Excel, making it easier to view the results obtained. After the tests carried out, it was concluded that the use of the software is effective and even covers dimensioning on irregular terrain.