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Smart Farming System

This project introduces a Smart Farming System, a next-generation agricultural management solution designed to improve farm productivity, operational efficiency, and environmental sustainability through intelligent automation. The system integrates AI-based monitoring, IoT sensors and a smart transportation system to optimize farming operations from cultivation to post-harvest logistics.

The objective of this project is to develop a cost-effective, data-driven ecosystem that enables farmers to make accurate and timely decisions while improving the overall efficiency of agricultural production. The system continuously collects real-time data using IoT sensors to monitor soil moisture, weather conditions, crop health, and nutrient levels. The collected data is analyzed through cloud-based artificial intelligence and machine learning algorithms to provide predictive insights, optimize irrigation, detect pests and diseases at an early stage, and estimate crop yield.

In addition to intelligent crop management, the project incorporates a Smart Transportation System, where autonomous or AI-assisted transport vehicles are used to efficiently deliver harvested rice from the paddy fields to the storage warehouse. This minimizes transportation time, reduces labor dependency, lowers post-harvest losses, and ensures that harvested rice is delivered safely and efficiently for storage and processing.

The results demonstrate improved water efficiency, reduced manual labor, enhanced crop monitoring, early pest detection, optimized harvesting operations, and more efficient post-harvest transportation. This project showcases how artificial intelligence, IoT, drone technology, and smart logistics can work together to create a future-ready and sustainable Smart Farming System for modern agriculture.

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