Automation of smart greenhouses for monitoring and control with Internet of Things approaches
Paper ID : 1213-NICAME1402
Authors:
Vali Rasooli Sharabiani *1, Mohammad Baqer Safari2, Somayeh Nuorzadeh3, Nader Alipour4
1University of Mohaghergh Ardabili
21Department of Biosystem Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
3Department of Biosystem Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
4Department of Biosystem Engineering, Faculty of Agriculture and Natural Resources, Mohaghegh Ardabili University, Ardabil, Iran
Abstract:
Greenhouse, a critical component of agricultural infrastructure, has been instrumental in the development of modern agriculture by providing plants with a healthy environment. This study proposes an automatic greenhouse monitoring and control system that uses a variety of sensors, including temperature, soil moisture, and light, photoionization, and soil moisture sensors to collect potential greenhouse environmental parameters and integrate them for storage and processing. The aim of this work is to provide a technological solution based on the Internet of Things (IoT) that will help the agricultural sector to avoid crop losses due to climate change. In this way, it can be easily accessed remotely using the smart Internet of Things (IoT) system. In this proposed work, an IoT-based environment is designed, developed and implemented with sensors that are connected to internet-connected laptops/computers or mobile phones. Farmers are forced to use information and innovation in communication in order to increase production efficiency and product flexibility. Systems engineering and information infrastructures based on the Internet of Things (IoT) are major new approaches that have generated increasing interest. In agriculture, IoT solutions can be applied in greenhouses according to industry challenges. Greenhouses are protected environments where the best plant growth can be achieved. IoT for smart greenhouses includes sensors, devices, and information and communication infrastructure for real-time monitoring and data collection and processing, in order to effectively control indoor parameters such as exposure to light, ventilation, humidity, temperature, and carbon dioxide levels.
Keywords:
Internet of Things (IoT); Smart greenhouse; Artificial intelligence; real time; automation;
Status : Paper Accepted (Poster Presentation)