Analysis of Precise Green House Management System using Machine Learning based Internet of Things (IoT) for Smart Farming

Currently, wireless connectivity is replacing the existing wired system present in smart farming, which was difficult to maintain and install. Greenhouse is integrated with smart farming to improve agricultural growth management and, as a result, diverse conditions should be observed at precision agriculture. This paper has suggested a system and conducted an analysis on the present and previous research works that discuss about the greenhouse system's major elements, benefits, and challenges. The primary purpose of this work is to show and identify existing research gaps, as well as greenhouse characteristics that are considered in each system. Due to limited solutions, Agriculture growth on completely controlled systems is not yet capable of being monitored in greenhouses. This research proposes a smart greenhouse system for implementing remote monitoring and control in precision agriculture domain.