Automated Messaging Solutions: Feature based Classification of Farmers for Automatic Communication of Required Agriculture Products for Efficient Mass Messaging

Abstract

Now a today’s fast-paced world, efficient communication is crucial. This project focuses on developing  an automated communication system designed for farmers. The system integrates platforms like WhatsApp, email, and SMS to efficiently send personalized messages regarding agricultural products. By leveraging automation, it ensures  timely and accurate communication, enhancing the distribution and accessibility of essential farming supplies.  Agricultural productivity and sustainability heavily depend on the timely and accurate dissemination of information and resources to farmers. However, the diverse and varying needs of farmers based on their location, crop types, and farming  practices make traditional communication methods inefficient and resource intensive. This project proposes a feature

based. Classification System that leverages machine learning algorithms to automatically classify farmers based on key  features such as farm size, crop type, geographical conditions, and socio-economic factors. Once classified, the system  automates the communication of personalized agricultural product recommendations to farmers through SMS, mobile  apps, or other channels.