Paper Key : IRJ************089
Author: Atharva Pachpute, Jahid Shaikh, Tejas Nikam,G.g.rathode
Date Published: 03 Apr 2025
Abstract
Agriculture plays a crucial role in global food production, and optimizing soil conditions is essential for improved crop yield and resource management. This project proposes a Smart Soil Nutrients and Water Level Analysis System using Internet of Things (IoT) technology to monitor and analyze soil parameters in real time.The system consists of sensors to measure soil moisture, pH, nitrogen (N), phosphorus (P), potassium (K), and water level in agricultural fields. These sensors are integrated with a microcontroller (such as Arduino or ESP32) and connected to a cloud-based platform via Wi-Fi or LoRa for remote monitoring. Data collected from the sensors is processed and visualized through a web dashboard or mobile application, enabling farmers to make informed decisions about irrigation and fertilization.Additionally, the system can incorporate machine learning algorithms to predict soil health trends and provide recommendations for crop management. Alerts and notifications are generated when critical levels of nutrients or water are detected, preventing over-irrigation or nutrient deficiencies.By implementing this IoT-based smart soil monitoring system, farmers can enhance resource efficiency, reduce manual effort, and increase agricultural productivity while promoting sustainable farming practices.
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