Machine Learning and IoT based Seed Suggestion: To Increase Agriculture Harvesting and Development

Agriculture, or the farming-based cultivation of food and goods, account for the vast bulk of the world’s food supply. It is crucial to India’s GDP and economy. Yet getting here wasn’t a simple journey. Fast degradation of resources a number of causes, including population growth, climate change, diseases, labour shortages, and others, have periodically severely affected the food supply. The role of seed recommendation in agriculture is to provide farmers with the optimal seed variety based on a range of environmental criteria, including soil type, weather, and other relevant factors. Decision trees and XGBoost are two popular machine learning techniques that may be used for this purpose. Farmers may now prevent any costly accidents as a consequence of how machine learning and data analytics have transformed it. Our Wireless Sensor Network (WSN), which consists of a field-deployed PIC microcontroller (IC PIC16F877A), Node MCU (ESP82666), USB to UART converter, driver, relay, water pump, soil moisture, pH, NPK, temperature, and humidity sensors, shows to be a miracle worker. Using machine learning techniques, this IoT can identify the accurate seed, anticipate the crop varieties to be sown based on the appropriateness of the region, and use data to track soil quality. The remote eyes and hands for our farmer are provided by the mobile application myDevices Cayenne and a PC local host database. The farmer’s distant eyes and hands are represented by the smartphone software myDevices Cayenne, and this IoT acts as a host database.