An Augmented Reality based Intelligent Precision Agriculture using Cascade Advancement Technique

Agriculture is the backbone of developing countries and it is very important to the country's economy. Therefore, automation must be used in agriculture to solve the issues. The proposed system is based on augmented reality intelligent precision agriculture using the smart sensor. It consists of the hardware ESP32 microcontroller, DHT11 sensor, and Load, and the software unity hub in Augmented Reality technology and Blynk application is used. The proposed system uses a deep learning algorithm characterized by 4 process categories 1) sensor interface, 2) wireless transmission, 3) data processing and 4) data monitoring and controlling. Agriculture characteristics are mostly maintained in the IoT platform, and the AR controls the water outlet during irrigation. To improve system performance and reach maximum efficiency, it is helpful for farmers to maintain irrigation properly. This leads to alternatives that may be both effective and practical.