University IoT project for intelligent monitoring of agricultural fields. It includes sensor simulation (soil moisture, temperature, pH, water salinity, relative humidity, rainfall) and automatic alert generation for critical conditions. The system aims to optimise resource management and improve agricultural efficiency.
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Table of Contents
- Project Overview
- Exam Requirements
- Identify sub-optimal conditions for crops (e.g. water stress, pH imbalances, critical temperatures).
- Generate automatic alerts to signal anomalies or situations that require action (e.g. irrigation, pH corrections, salinity management).
- Support data-driven decisions to optimise water use, prevent crop damage and improve agricultural productivity in a sustainable manner.
The main objective of the project is the development and simulation of a Smart Agriculture - Field Monitoring System, capable of collecting and analysing environmental and soil data through simulated IoT sensors.
The system aims to optimise resource management and improve the efficiency of agricultural activities by providing real-time information on the following key parameters: soil moisture, temperature, soil pH, water salinity, relative humidity and precipitation.
Through continuous monitoring and data analysis, the system is designed to:
By simulating sensors and related conditions, the project provides a scalable and adaptable model for future implementations in real-world contexts, promoting technological innovation in the agricultural sector.
The project meets all the requirements described in the following file: SE4IOT_ Requirement_Document_for_the_IoT_System_Development_Project.pdf