Agriculture is a fundamental sector that supports the livelihood of millions of people and ensures food security across the globe. However, crop diseases pose a significant threat to agricultural productivity, often leading to reduced yield quality and financial losses for farmers. Early detection and proper treatment of these diseases are essential to maintain healthy crops and improve farming outcomes. Traditional methods rely on manual observation, which may result in delayed or inaccurate diagnosis.

This paper presents an IoT-based system designed to detect crop diseases and provide smart treatment guidance. The system collects crop-related data such as temperature, humidity, soil moisture, and leaf condition, and analyzes it using predefined logic to identify diseases. Once detected, it provides recommendations including fertilizers, pesticides, and preventive measures.

An additional feature of the system is a store locator that helps farmers identify nearby agricultural stores to purchase required materials. The proposed system reduces crop loss, improves productivity, and promotes sustainable farming practices.