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Click on “Download PDF” for the PDF version or on the title for the HTML version. If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options. Development of Intelligent Irrigation System, Robot Transporter, and Precision Artificial Lighting System for Moss Mat Production in a Fully Controlled Plant FactoryPublished by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org Citation: 2012 Dallas, Texas, July 29 - August 1, 2012 121341187.(doi:10.13031/2013.42097)Authors: Yusuf Hendrawan, Bambang Dwi Argo, Mochamad Bagus Hermanto, Song Zhang, Haruhiko Murase Keywords: Keywords Machine-Vision, Moss-Mat, Robotics, Plant-Factory, Intelligent-System Plant factories can provide much better conditions for implementing precision agriculture since the environment of a plant factory is more controllable and observable than that of open-field agriculture. In plant factory, optimal control, expert systems, and robotics applications for obtaining higher yield and better quality of plant is essential. Most of the environmental factors in a fully controlled plant factory are observable and controllable. Sunagoke moss is one of the plant products which are produced by plant factory. In this study, we will discuss the device, the design, and the implementation of micro-precision technologies for automated plant factory. The objectives of this research are developing an intelligent irrigation system, line tracer robot transporter, and precision artificial lighting system in a cultured moss mat production factory. In the intelligent irrigation system, machine vision device is used as non-destructive sensing to detect water stress in cultured moss mat. Artificial neural network has been tested successfully to describe the relationship between the water content of moss and image features such as color features and textural features from some color spaces (gray, RGB, HSV, HSL, L*a*b*, XYZ, LCH, and Luv). Fish Swarm Intelligent as optimization algorithms have been successfully implemented to maximize the accuracy of Back-propagation Neural Network for predicting the deficit water content of moss mat. A miniature of line tracer robot transporter has been developed to simulate the transport process of moss mat in plant factory. A combination of machine vision and scanning type laser diodes lighting system is used to control the light condition. The intelligent irrigation system using artificial neural network is able to predict the deficit water content of moss accurately and fulfil the water needs in moss mat precisely. The line tracer robot transporter has been tested successfully to describe the relationship between the load variations and the transport speed and energy. The precision artificial lighting system can recognize the moss mat area which lack of light and provide accurate light in each moss mat area according to their needs. Overall, the proposed control systems in this study are acceptable to develop automated precision plant factory. (Download PDF) (Export to EndNotes)
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