AUTOMATION OF PRECISION IRRIGATION USING RASPBERRY PI AND SENSOR NETWORKS

Abstract

Water shortages and ineffective irrigation methods persist as significant challenges in contemporary agriculture. This study introduces an automated precision irrigation system that employs Raspberry Pi and a collection of environmental sensors to enhance water efficiency. The suggested system monitors realtime soil moisture, temperature, and humidity to facilitate informed irrigation choices, reducing human involvement and preserving resources. The system uses the Raspberry Pi as an economical and adaptable microcontroller, facilitating smooth integration with wireless sensor networks and cloud-based platforms. The experimental configuration exhibits enhanced crop management, decreased water use, and scalability for extensive agricultural areas. This technique has considerable potential for intelligent agriculture and sustainable farming methods in areas experiencing water scarcity