IoT-Based AI-Integrated Device for Farmers: A Recommendation System for Crop Cultivation

Agriculture serves as the primary source of livelihood for the majority of the population. However, crop yields in the country often remain low due to various factors, including prolonged cultivation of the same crops, insufficient knowledge regarding fertilizer types and quantities, and susceptibility to crop diseases in Bangladesh. Previously, several studies were conducted, but the equipment used in the research was too cost-ineffective. To address these challenges, a comprehensive system leveraging advanced technology and data analytics methodologies was developed to assist Bangladeshi farmers. This system utilizes sensors to collect data on moisture levels and soil quality, which are then analyzed to recommend suitable crops and necessary fertilizers for specific fields. Additionally, the system includes a module for detecting potato leaf diseases, aiding farmers in identifying and treating this common ailment. Moreover, the system is capable of calculating the required amount of fertilizer for the field. A thorough evaluation involving farmers was conducted to assess the system's effectiveness, revealing that it performs efficiently in providing recommendations for crop selection, fertilizer application, and plant disease detection.