AI Based Crop Selection Advisor Using Location and Seasonal Data

The rapid advancement of artificial intelligence and Internet of Things (IoT) technologies has created new opportunities to improve agricultural productivity and sustainability.This project presents an AI Based Crop Selection Advisor Using Location and Seasonal Data that assists farmers in selecting suitable crops based on environmental and geographical conditions.The system aims to enhance crop yield, reduce resource wastage, and support informed decision-making in modern agriculture.The proposed system is developed using an ESP32 microcontroller integrated with environmental sensors such as temperature, humidity, and soil moisture sensors.Location data is obtained using a GPS module, while seasonal and historical climate data are processed using an AI-based prediction model.The collected sensor and location data are transmitted wirelessly to a cloud platform through Wi-Fi connectivity, where machine learning algorithms analyze the data to recommend the most suitable crops for the given region and season.