A DESIGN OF SMART PLANT ROBOTS BASED ON ARTIFICIAL NEURAL NETWORK
Keywords:
robot, automatic control, water saving
Abstract
Robots had always been studied in various areas for educational, medical, and military purposes. However, in various writings, the manufacture of robots that are applied in plantation practice is very low. In this research, a robot for automatic watering has been developed. because the water circulation in Indonesia will run low, and when watering plants really need a lot of water and sometimes it is wasted as well as spending time applying it. Therefore, this research is applied research that can be applied in plantations.
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References
[1]. Aryza, S. (2018). a Novelty of Quality Fertilizer Dryer Based on Solar Cell and Ann.
[2]. Aryza, S., Abdallah, A. N., bin Khalidin, Z., Lubis, Z., & Jie, M. (2012). A Fast Induction Motor Speed Estimation based on Hybrid Particle Swarm Optimization (HPSO). Physics Procedia, 25, 2109-2115.
[3]. Wang Peijin, Object-Oriented Flexible Design and Control (I), J. Of Computer Engineering & application, Vol 37(16) , Chinese Institute of Computer, 2011.
[4]. Wang Peijin, Object-Oriented Flexible Design and Control (III), J. Of Computer Engineering & application, Vol 38(24) , Chinese Institute of Computer, 2012.
[5]. Wang Peijin, Object-Oriented Flexible Design and Control (IV), J. Of Computer Engineering & application, Vol 39(1) , Chinese Institute of Computer, 2003.
[6]. G.Betta, A. Pietrosanto, "Instrument Fault Detection and Isolation: State of the Art and New Research Trends", IEEE Instrumentation and Measurement , Technology conference , St. Paul, Minnesota, USA, May 18-21, 1998
[7]. THGUO, J. Musgrave, "Neural Network Based Sensor Validation for Resuable Rocket Engines", Proceedings of 1995 American Control Conference, Seattle, Washington, P1367-1372, June, 1995.
[2]. Aryza, S., Abdallah, A. N., bin Khalidin, Z., Lubis, Z., & Jie, M. (2012). A Fast Induction Motor Speed Estimation based on Hybrid Particle Swarm Optimization (HPSO). Physics Procedia, 25, 2109-2115.
[3]. Wang Peijin, Object-Oriented Flexible Design and Control (I), J. Of Computer Engineering & application, Vol 37(16) , Chinese Institute of Computer, 2011.
[4]. Wang Peijin, Object-Oriented Flexible Design and Control (III), J. Of Computer Engineering & application, Vol 38(24) , Chinese Institute of Computer, 2012.
[5]. Wang Peijin, Object-Oriented Flexible Design and Control (IV), J. Of Computer Engineering & application, Vol 39(1) , Chinese Institute of Computer, 2003.
[6]. G.Betta, A. Pietrosanto, "Instrument Fault Detection and Isolation: State of the Art and New Research Trends", IEEE Instrumentation and Measurement , Technology conference , St. Paul, Minnesota, USA, May 18-21, 1998
[7]. THGUO, J. Musgrave, "Neural Network Based Sensor Validation for Resuable Rocket Engines", Proceedings of 1995 American Control Conference, Seattle, Washington, P1367-1372, June, 1995.
Published
2022-06-30
How to Cite
Frans Erwinsyah Simaremare, Solly Aryza, & Hamdani, H. (2022). A DESIGN OF SMART PLANT ROBOTS BASED ON ARTIFICIAL NEURAL NETWORK. INFOKUM, 10(02), 1337-1342. Retrieved from http://infor.seaninstitute.org/index.php/infokum/article/view/644
Section
Articles
