Smart Farming Prediction System Embedded with the Internet of Things

Abstract

AbstractAutomation and the Internet of Things are the two rising innovations changing the present reality. Because agriculture is a significant, possibly the most important, part of India’s economy, it needs to be connected at the hip with the innovation to save water and enhance efficiency. Water is crucial to life, and its significance has received increased attention because of population growth; the amount of fresh usable water is diminishing. A lack of rain resulting in the shortage of surface and groundwater has likewise brought about a decrease in the volume of water on the planet. The abatement in the water supply has led to food insufficiency, and this is a significant worry worldwide. In the agriculture industry, sensors (for example, those used to recognize soil pH value) are used in the field. To overcome the issues facing irrigation systems, we proposed a system to sense humidity, soil moisture, and diffusive temperature through the sensors. LoRa technology was used to collect data from the sensors. The parameters used included a soil moisture sensor, temperature and humidity sensor DHT11, an LDR light sensor, and the web server – NRF24L01 was used as the transmitter and receiver. The system supports water management decisions and monitors the whole system using a GSM(RS-232) module. A brief study was carried out on the different sensors to check humidity and soil pH value in an automated irrigation system. In addition, the data collected from these sensors can be used to analyze the system, appraise water use, and predict farming risk factors.KeywordsFarming systemInternet of Thingssensorshumiditysoil moisture and temperature