Bambang Dwi Argo
University of Brawijaya
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Featured researches published by Bambang Dwi Argo.
2012 Dallas, Texas, July 29 - August 1, 2012 | 2012
Yusuf Hendrawan; Bambang Dwi Argo; Mochamad Bagus Hermanto; Song Zhang; Haruhiko Murase
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.
International Journal on Advanced Science, Engineering and Information Technology | 2015
Bambang Dwi Argo; Yusuf Hendrawan; Dimas Firmanda Al Riza; Anung Nugroho Jaya Laksono
International Journal on Advanced Science, Engineering and Information Technology | 2015
Wahyunanto Agung Nugroho; Fatma Ridha Nurlaili; Yusuf Hendrawan; Bambang Dwi Argo
International Journal on Advanced Science, Engineering and Information Technology | 2016
Bambang Dwi Argo; Yusuf Hendrawan; Dewi Maya Maharani; Angky Wahyu Putranto; Sri Winarsih
The Indonesian Green Technology Journal | 2014
Angky Wahyu Putranto; Bambang Dwi Argo; Susinggih Wijana
Jurnal Keteknikan Pertanian Tropis dan Biosistem | 2013
Faisz Kasifalham; Bambang Dwi Argo; Musthofa Lutfi
Rona Teknik Pertanian | 2018
Shinta Rosalia Dewi; Bambang Dwi Argo; Naily Ulya
Jurnal Keteknikan Pertanian Tropis dan Biosistem | 2018
Lastriyanto Anang; Bambang Dwi Argo; Dhika Aringtyas
Journal of Mechanical Science and Technology | 2018
Bambang Dwi Argo; Sandra Sandra; Ubaidillah Ubaidillah
Jurnal Keteknikan Pertanian Tropis dan Biosistem | 2017
Gunomo Djoyowasito; Bambang Dwi Argo; Ary Mustofa Ahmad; Dinia Cholidia