FARM PROTECTION WITH ESP32 FROM ANIMALS AND HUMAN THEFT

Abstract

In agricultural fields, manual irrigation still makes extensive use of conventional drip and can watering. Traditional irrigation systems, on the other hand, are inaccurate and inefficient, which results in either too little or too much watering. Furthermore, farmers find it challenging to forecast proper volumes at the right times. Moreover prone to human error, manual agriculture field monitoring poses a risk to rural communities. If farmers are not present, they might not be aware of invasions either. In order to ensure optimal water usage depending on particular conditions and to enable real-time environmental monitoring, this project aims to construct an intelligent monitoring and automated irrigation system. This technique also lessens the possibility of plant theft and guards against damage to plants. This system gathers environmental data from sensors, including temperature, humidity, and soil moisture content, using a NodeMCU ESP32 microcontroller. In addition to having a passive infrared sensor to detect intruders near the crop field, the NodeMCU is integrated with a relay and an RTC module to irrigate plants at certain times. Farmers will be notified once an ESP32 camera automatically records the current conditions upon detection. This technique also lessens the possibility of plant theft and guards against damage to plants. This system gathers environmental data from sensors, including temperature, humidity, and soil moisture content, using a NodeMCU ESP32 microcontroller. In addition to having a passive infrared sensor to detect intruders near the crop field, the NodeMCU is integrated with a relay and an RTC module to irrigate plants at certain times. Farmers will be notified once an ESP32 camera automatically records the current conditions upon detection.