Automation Prototype for Grain Flow in Non-Automatic Seeder

Abstract

This work proposes to create a prototype to systematize the planting process by controlling the grain flow of the seeders, in order to verify possible failures in the distribution of seeds and to show the exact location where the failure occurred. During the development of this research, Internet of Things (IoT) solutions were used, aiming to reduce costs to favor mainly family producers, Arduino, ESP8266, GPS module were used to identify the location, data storage and communication with the cloud, generating dashboards to monitor the failures in the process, so that the planting can be corrected in an efficient way, taking better advantage of the land's cultivation capacity. The scenario discussed throughout the research brings as evidence the need and benefits offered by systematization. The article presents a prototype that simulates four sowing lines and results ranging from 85.33% to 95.86% of accuracy in grain counts were obtained. , the information is presented in real time to the tractor operator through a web page and after sowing all the information is exported to the internet, which allows a history and monitoring of all plantations shown by dashboard.