An automated greenhouse system using agricultural Internet of Things for better crop yield

Greenhouse deployment of farms gives hope for the farmers on higher crop yield, through lowering risks against pests, insects and adverse climatic conditions. Automation of greenhouse benefits the farmers in various ways by detection of soil and water quality and automatic irrigation. Involving scientific process in this automation boosts the benefits on agricultural activities. The current status of the greenhouse can be collected and sent to the cloud infrastructure for further decision making. This paper deals with the design and implementation of a model for IoT based agricultural greenhouse system for better crop yield. The system uses light-weight MQTT protocol for device to device communication. This paper aims to leverage an IoT based agriculture system in a greenhouse and hence achieve the goal of reduced human intervention by automatically detecting and controlling various climatic factors such as soil moisture, air humidity and light intensity to automatically monitor the irrigation, aeration and lighting facilities of the greenhouse.