AI BASED SEED SUGGESTING SYSTEM TO ENHANCE AGRICULTURE HARVESTING

Abstract: Agriculture generates most of the world's food. It's important for India's GDP. However, getting here wasn't easy. Degradation, population increase, climate change, illnesses, and labour shortages have hampered food supply. Artificially intelligent, data-centric, IoT-driven smart agriculture optimizes food production and improves quality to reduce losses. Machine learning and data analytics help farmers avoid costly mistakes. Our Wireless Sensor Network (WSN) - PIC (IC PIC16F877A) microcontroller, Node MCU (ESP82666), USB to UART converter, driver, relay, water pump, soil moisture, soil pH, soil NPK, temperature and humidity sensors deployment in the field proves to be an elixir. This IoT provides autonomous irrigation, crop variety prediction for sowing based on land appropriateness, and soil quality monitoring via data analysis. PC local host database and my Devices Cayenne are our farmer's remote eyes and hands. This machine learning predicts crop variety for sowing based on land appropriateness, seed amount, and fertilizer utilizing agricultural land size and Data Analysis. PC local host database and my Devices Cayenne are our farmer's remote eyes and hands.

Keywords: Wireless sensor network, Node MCU, IoT, PIC microcontroller