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2012 Dallas, Texas, July 29 - August 1, 2012 | 2012

Development of Intelligent Irrigation System, Robot Transporter, and Precision Artificial Lighting System for Moss Mat Production in a Fully Controlled Plant Factory

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

Optimization of PID Controller Parameters on Flow Rate Control System Using Multiple Effect Evaporator Particle Swarm Optimization

Bambang Dwi Argo; Yusuf Hendrawan; Dimas Firmanda Al Riza; Anung Nugroho Jaya Laksono


International Journal on Advanced Science, Engineering and Information Technology | 2015

Effect of Growth Promoting Bacteria on the Growth Rate and Lipid Content of Microalgae Chorella sp in Sludge Liquor of Anaerobic Digester of Dairy Manure

Wahyunanto Agung Nugroho; Fatma Ridha Nurlaili; Yusuf Hendrawan; Bambang Dwi Argo


International Journal on Advanced Science, Engineering and Information Technology | 2016

The Effect of Microwave-NaOH Pretreatment and Hydrolysis Enzyme Using Trichoderma reesei-Aspergillus niger on Rice Straw Bioethanol Production

Bambang Dwi Argo; Yusuf Hendrawan; Dewi Maya Maharani; Angky Wahyu Putranto; Sri Winarsih


The Indonesian Green Technology Journal | 2014

Green Pulsed Electric Field-Assisted Extraction Method of Total Carotenoid Carrot Pulp Using Olive Oil as Solvent

Angky Wahyu Putranto; Bambang Dwi Argo; Susinggih Wijana


Jurnal Keteknikan Pertanian Tropis dan Biosistem | 2013

Uji Performansi Mesin Pemarut Kelapa dan Pemeras Santan Kelapa

Faisz Kasifalham; Bambang Dwi Argo; Musthofa Lutfi


Rona Teknik Pertanian | 2018

Kandungan Flavonoid dan Aktivitas Antioksidan Ekstrak Pleurotus ostreatus

Shinta Rosalia Dewi; Bambang Dwi Argo; Naily Ulya


Jurnal Keteknikan Pertanian Tropis dan Biosistem | 2018

EFEK PENGEMASAN VAKUM PADA KUALITAS BENIH KEDELAI (Glycine max, L) VARIETAS ANJASMORO SELAMA PENYIMPANAN

Lastriyanto Anang; Bambang Dwi Argo; Dhika Aringtyas


Journal of Mechanical Science and Technology | 2018

Mathematical modeling on the thin layer drying kinetics of cassava chips in a multipurpose convective-type tray dryer heated by a gas burner

Bambang Dwi Argo; Sandra Sandra; Ubaidillah Ubaidillah


Jurnal Keteknikan Pertanian Tropis dan Biosistem | 2017

Model Laju Pertumbuhan Perkecambahan Tanaman Jagung (Zea Mays L.) pada Variasi Massa Benih Jagung

Gunomo Djoyowasito; Bambang Dwi Argo; Ary Mustofa Ahmad; Dinia Cholidia

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Nur Komar

University of Brawijaya

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