SMART AGRICULTURAL MONITORING AND IRRIGATION SYSTEM

In today’s world, technology is continually evolving in order to reduce human labour through the use of IOT, artificial intelligence, and machine learning. It is extremely difficult to grow any agricultural food in areas with sporadic rainfall patterns and high mean temperatures, putting additional pressure on farmers to irrigate at regular intervals without any basic understanding of the rainfall pattern and soil humidity. The crop plant is either under-watered or over-watered as a result of ignorance and irregular irrigation. This study attempts to create a basic and low-cost automatic watering system utilizing a soil moisture sensor, a DHT11 sensor, and a NodeMCU. To accurately manage the water levels required by each unique plant, a fuzzy logic model based on soil moisture, temperature, humidity, and precipitation forecast is being developed. Finally, this model is fuelled by solar energy, which not only helps in achieving true independence from conventional forms but also helps to lessen the carbon footprint problem.