Smart garden with intruder detection system

Author:

Annapoorna E.,Manduva Aditi,Ram Kumar R.P.,Hajari Manu,Alabdeli Haider,Rajalakshmi B.,Gupta Manish,Praveen

Abstract

IoT contains of devices associated with the internet and communicate with each other. Considering the present scenario, people are more interested towards home gardening. Sometimes they forget to water the plants because of their monotonous work lifestyle, and also cannot guard them which eventually affects the growth of the plants. To overcome this situation a Smart gardening system using IoT is being developed. The system can detect the soil moisture level based on which it will inform the user whether to turn on the motor or not and also detects unauthorized entry into the garden. The IoT-based device is linked to the motor, which can be monitored and controlled by using a smartphone. It consists of a soil moisture sensor that can predict the soil’s moisture level and a PIR sensor that detects any objects entering the range and a BMP280 sensor which detects the humidity, temperature and atmospheric pressure of the air and sends the result to the user through a smartphone application named Kodular app. It transfers the soil moisture data and motor status to the firebase which displays it in the app. It is an efficient way of sensing the necessity of the plant and watering it to maintain the soil moistness. Further it also helps in guarding the garden which keeps it away from birds and animals. Which thereby maintains the plant’s health.

Publisher

EDP Sciences

Reference6 articles.

1. Parvathi R. M. S., Bala Bharathi K., and Devimala D.,2019. “IoT Based Smart Garden”, in Proceedings of the International Journal of Innovative Research in Science, Engineering and Technology, 8 (3): 2257-2268.

2. Ahmed Syed Musthak, Kovela B., Gunjan V.K. IoT Based Automatic Plant Watering System Through Soil Moisture Sensing-A Technique to Support Farmers Cultivation in Rural India.

3. Patil Manoj A, Adamuthe A.C., Umbarkar A.J.. Smartphone and IoT Based System for Integrated Farm Monitoring (2020)

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