Implementation Of Proficient Agriculture Using IoT With Machine Learning and Mobile Application

Agriculture or food cultivation generates the largest portion of the world's food supply. Also, agriculture plays a critical role in India's economy and GDP. However, the road to the present has not been simple. Also, the Food supplies have been periodically crippled due to resource depletion, rapid population growth, changing climate, diseases, labour shortage, and other factors. To combat losses, artificially intelligent, data-centric, and Internet of Things-driven smart agriculture employs a variety of technological innovations in traditional farming to optimize the food production process and improve quality. The way machine learning and data analytics re-imagine it and help farmers avert all expensive mishaps. The proposed highly efficient, low cost and low power Wireless Sensor Network (WSN) – PIC (IC PIC16F877A) microcontroller, NodeMCU (ESP82666), USB to UART converter, driver, relay, water pump, LCD display, transformer, soil moisture, soil pH, soil NPK, temperature and humidity sensors deployment in the field prove to be an elixir. This IoT performs automatic irrigation, crop variety prediction for sowing according to land suitability and leaf diseases detection through Machine Learning techniques and soil parameters monitoring though Data Analysis. PC localhost database and the mobile application, myDevices Cayenne function as the remote eyes and hands for our farmer.