Vegetation Health Monitoring System using Agricultural Iot

Information Technology

Vegetation health monitoring project aims to measure and record data about crops in real time using the reflectance of light shined or water provided on the growing plants. Sensors can be installed across the application boom to collect information while the different span of time of the plant growth. The data is logged and mapped to be used in further analysis – or for real-time variable rate applications. This kind of data is the key to precision farming. Collect information in the fields, analyze and then make decisions based on the data.. A Sensor Network (SN) is a group of sensor nodes work collaboratively to perform a common task. Sensor Networks plays a major role in the development of monitoring air, soil and water, habitat monitoring, agricultural monitoring, military surveillance, inventory tracking etc. Sensors are used in agriculture to monitor Temperature, Humidity, Soil moisture, Wind (speed and direction), Pressure. In the existing system arduino, and the sensors are used to track the needs of the canopy growth. External server is used to collect the data. In proposed system, a plant growth will be monitored in terms of sunlight, temperature and soil moisture, and read values will be fed into the application on the user’s mobile phone. With this Project, plant breeders can evaluate the performance of different plant varieties using measurements taken from remote sensors. These sensors monitor things like soil moisture, atmospheric temperature, and soil moisture and are often used for crop variety trials. The system has a great advantage, that is expandable and so new type of sensors and controllers can be added without affecting the existing infrastructure; power and communication are made using a single cable This allows planning appropriate necessities for the vegetation, and monitoring the vegetation’s health.

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