IoT-Based Analysis of Soil Moisture Impact in Agriculture through Real-time Monitoring of Atmospheric Humidity and Temperature

Computer science engineering

This M.Tech project introduces an innovative approach to agricultural soil management by leveraging Internet of Things (IoT) technology. It centers on the development of a sophisticated IoT-based system for real-time soil moisture monitoring, coupled with the analysis of the dynamic relationship between soil conditions and atmospheric factors, specifically humidity and temperature. The project integrates IoT sensors, including soil moisture level sensors and atmospheric sensors, with data processing conducted using C++ or Python programming languages. Data is collected and logged at 30-second intervals, enabling comprehensive insights into soil moisture dynamics. A key feature of the system is its ability to transmit data directly to Google Sheets via Wi-Fi connectivity, ensuring real-time access for remote monitoring and analysis. The project's primary objectives are to facilitate precision agriculture, improve crop yield, and optimize resource allocation. By providing real-time, data-driven insights into soil moisture levels and their correlation with atmospheric conditions, this project empowers farmers and agronomists with valuable tools for informed decision-making. Furthermore, it contributes to sustainable farming practices by enabling efficient irrigation and resource management, ultimately fostering increased agricultural productivity and resource conservation. In conclusion, the IoT-Based Analysis of Soil Moisture Impact in Agriculture through Real-time Monitoring of Atmospheric Humidity and Temperature” represents a pivotal advancement in modern agriculture, aligning technology with environmental stewardship and agricultural sustainability.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.