AUTOMAÇÃO DE SISTEMA DE IRRIGAÇÃO DE BAIXO CUSTO BASEADO EM DADOS CLIMÁTICOS E NA UMIDADE DO SOLO

Abstract

Irrigation is responsible for making the agricultural sector the largest consumer of freshwater on the planet. Given this, it is essential to accurately determine the irrigation levels and the correct management for each type of crop, according to soil type and climatic conditions. Thus, this work aims to promote water management in the irrigation process through automation, based on climate data and soil moisture. A Raspberry PI processing and control unit was implemented to automate micro sprinkler irrigation in a small area. For this, meteorological data from an automatic station were used to calculate evapotranspiration by the Penman Monteith (FAO) method. The system also features capacitive sensors for providing soil moisture data from the crop area. Through a web interface, accessed by any device with internet access capability, the user has control and monitoring of irrigated system information.