TY - GEN
T1 - Development of mobile RoboVision with stereo camera for automatic crop growth monitoring in plant factory
AU - Wijanarko, Anggit
AU - Nugroho, Andri Prima
AU - Sutiarso, Lilik
AU - Okayasu, Takashi
N1 - Funding Information:
Authors wishing to acknowledge financial support from Ministry of Research, Technology and Higher Education of the Republic of Indonesia by 2018 - 2019 Research Grants of Penelitian Terapan Unggulan Perguruan Tinggi (PTUPT) 2018 (No. 1878/UN1/DITLIT/DIT-LIT/LT/2018) and 2019 (No. 2771/UN1/DITLIT/DIT-LIT/LT/2019), Research Grant of Rekognisi Tugas Akhir (RTA) Scheme from Universitas Gadjah Mada 2019 (No. 3414/UN1/DITLIT/DIT-LIT/LT/2019). Also, the author would like to thanks Smart Agriculture Research group of Agricultural and Biosystems Engineering UGM for the support.
Publisher Copyright:
© 2019 Author(s).
PY - 2019/12/27
Y1 - 2019/12/27
N2 - Plant Factory is a large-scale vegetable production method with limited, closed, and controlled space. This system is endeavored to support the sustainability of agricultural production system by applying the concept of precision agriculture. This concept is implemented to observe plant growth effectively and efficiently. Currently, in the conventional way monitoring carried out one by one, using the computer vision technology will help accelerate plant growth monitoring in the Plant Factory. However, in the application in a Plant Factory, it requires many cameras to be used for growth monitoring for each crop to support the precise measurement. So, it is necessary to have a system that supports the mobility of the camera module inside the plant factory. The objective of this study was to design the Mobile RoboVision using the stereo camera for automatic Crop Growth Monitoring. The system consists of three modules: Stereo camera positioning system using M1 Computer Numerical Control (1000mm x 1000mm of size) equipped with x and y motor for flexible movement; Image acquisition system using Raspberry Pi B+ as microcomputer unit installed Stereo Camera standard with quad IR Illuminator and sensors; Data collection system using Cloud Storage. The camera positioning system manages the position of the camera module to stop in every crop in specified coordinate C1..n = {(x1, y1), (x2, y2), ..(xn, yn)} and capture stereo images automatically. The captured image will be managed in a data collection system using Cloud System to provide flexible and convenient access for further analysis.
AB - Plant Factory is a large-scale vegetable production method with limited, closed, and controlled space. This system is endeavored to support the sustainability of agricultural production system by applying the concept of precision agriculture. This concept is implemented to observe plant growth effectively and efficiently. Currently, in the conventional way monitoring carried out one by one, using the computer vision technology will help accelerate plant growth monitoring in the Plant Factory. However, in the application in a Plant Factory, it requires many cameras to be used for growth monitoring for each crop to support the precise measurement. So, it is necessary to have a system that supports the mobility of the camera module inside the plant factory. The objective of this study was to design the Mobile RoboVision using the stereo camera for automatic Crop Growth Monitoring. The system consists of three modules: Stereo camera positioning system using M1 Computer Numerical Control (1000mm x 1000mm of size) equipped with x and y motor for flexible movement; Image acquisition system using Raspberry Pi B+ as microcomputer unit installed Stereo Camera standard with quad IR Illuminator and sensors; Data collection system using Cloud Storage. The camera positioning system manages the position of the camera module to stop in every crop in specified coordinate C1..n = {(x1, y1), (x2, y2), ..(xn, yn)} and capture stereo images automatically. The captured image will be managed in a data collection system using Cloud System to provide flexible and convenient access for further analysis.
UR - http://www.scopus.com/inward/record.url?scp=85077995683&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85077995683&partnerID=8YFLogxK
U2 - 10.1063/1.5141713
DO - 10.1063/1.5141713
M3 - Conference contribution
AN - SCOPUS:85077995683
T3 - AIP Conference Proceedings
BT - International Conference on Science and Applied Science, ICSAS 2019
A2 - Suparmi, A.
A2 - Nugraha, Dewanta Arya
PB - American Institute of Physics Inc.
T2 - International Conference on Science and Applied Science 2019, ICSAS 2019
Y2 - 20 July 2019
ER -
