IoT and Machine Learning based approach for Fully Automated Greenhouse

Abstract

With the rapid evolution of technology, automation has taken over almost all fields of operation. The change in human-computer interaction has accelerated over the years. Greenhouses have come a long way in terms of technological advances. For 100% yields, it is essential to constantly monitor the optimal parameters for plant growth. Here in this work, different parameters that impact the yield of crops like humidity, CO2 levels, light intensity, soil moisture, temperature are being monitored, controlled and coordinated using Raspberry Pi and Arduino. Internet of Things has enabled real-time data collection from the Smart Greenhouse and visualization on ThingSpeak platform. This paper proposes a fully automated greenhouse embedded with hydroponics and vertical farming and with excellent security provisions and surveillance to become a highly advanced and diverse version of currently prevailing models.