IoT based Irrigation Monitor
Challenge
The AgriTech approached with a number of features keeping in mind the area of the field and getting information on different parameters, all the hardware needed to be weatherproof with accurate data, and the challenging part of the project was to develop the irrigation system where by employing Machine Learning the device can automatically turn on the water supply by managing Solenoids after computing data from sensors along with checking the weather forecast.
Solution
After receiving all the requirements- our coders, PCB designers and web experts sat together and created a document having all the material required for this job along with the steps and procedures, After getting the go-ahead from Project Manager we started coding and setup the sensors and testing environment at our end. Meanwhile, the PCB designers start working on PCB. We decided that ESP32 will be the best solution and React will be best for Web apps, MQTT protocol for managing data. We also included the will be best for Web apps, IP Camera integration so the farmers can also check their fields from anywhere in the world.