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RoboGardner: A Low-Cost System with Automatic Plant Identification Using Markers

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Book cover Quality, Reliability, Security and Robustness in Heterogeneous Networks (QShine 2013)

Abstract

In this modern era, automation is inevitable. With the fast paced and busy lifestyles, there is no time even for day to day household activities. There is a need of automation in each and every small activity performed by humans. In this paper we present an autonomous system that caters to the need of automation in gardening by providing a low cost, portable and efficient system for watering indoor potted plants at home and offices. The system comprises of a mobile ROBO equipped with a camera for auto-location and identification of the plants and a sensing circuitry for analyzing the watering needs. The RoboGardner is designed to ease out human workload and performs all the functions without any human intervention. It even provides an automatic feedback mechanism to inform the user about its daily performance. The water level of the RoboGardner’s on-board reservoir is also scrutinized automatically by it and the user is alarmed to refill when required. The paper outlines the complete architecture, functional modules and detailed implementation supported with the design circuits. It concludes with the system performance of the RoboGardner along with graphical analysis.

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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Aswani, R., Hema, N. (2013). RoboGardner: A Low-Cost System with Automatic Plant Identification Using Markers. In: Singh, K., Awasthi, A.K. (eds) Quality, Reliability, Security and Robustness in Heterogeneous Networks. QShine 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37949-9_27

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  • DOI: https://doi.org/10.1007/978-3-642-37949-9_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37948-2

  • Online ISBN: 978-3-642-37949-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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