IoT and AI-based Plant Monitoring System

Abstract

Plants plays a vital role in the environment because it provides the health support through absorbing the carbon dioxide and releasing the oxygen to the atmosphere. Although, it required to maintain the proper plant growth and health as well as provide the appropriate monitoring. To overcome these concerns, an Artificial Intelligence (AI) and Internet of Things (IoT) based solution is proposed to monitor the plant’s growth and health. This study demonstrates the real-time monitoring of the plants via environmental sensors such as DHT 11 and soil moisture sensors. Real-time values stored in the cloud server and applied the machine learning models to predict the plant’s growth. The Statistical parameters such as RMSE, MAE are used to analyze the resulting outcome from the system.

An empirical study on the Performance and Energy Consumption of AI Containerization Strategies for Computer-Vision Tasks on the Edge

“…In healthcare [9], we encounter application providing cancerous moles detection in skin images or finding symptoms in x-ray and MRI scans. In agriculture, Edge AI could be employed for plant health monitoring [29]. In manufacturing, Edge sensor devices can evaluate whether a component is defective [25].…”