Trend forecasting of computer vision application in aquaponic cropping systems industry
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Conference Proceeding
Source Title
IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
Publication Date
2020
Abstract
Computer vision is a fast-growing technology that provides exceptional impact in the world of agriculture. As different problems affecting crop cultivation emerge, as well as the increase in world population, the threat to food security becomes more significant. This paper discussed the international and local agricultural advancements. Trends of computational intelligence (CI) applications in aquaponics systems were also reviewed. This is to see the growth of the industry in terms of technological advancements and determine where the industry is heading. Computer vision allows a non-destructive way of monitoring and detecting agricultural irregularities. Integration of CI in aquaponics made the system more cost-efficient, and beneficial both for the farmers and the environment. This integration has been gaining more attention through the years and the increasing technical publications about the applications it is the significant proofs. This expansion of CI application in the Philippine farm industry can shift old manual labor into a fully automated scheme of farming. Though the Philippine agricultural growth in the past five years has been slow with 1.3% between 2016 and 2019, the introduction of CI, as well as different technologies, can help boost the industry performance especially now that the whole world is now engaging in the fourth industrial reform (FIRM. Therefore, technology intensification of computer vision in Philippine agriculture is expected to crest in the coming two decades.
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Digitial Object Identifier (DOI)
10.1109/HNICEM51456.2020.9400070
Recommended Citation
Aquino, H. L., Concepcion, R. S., Dadios, E. P., Sybingco, E., & Bandala, A. A. (2020). Trend forecasting of computer vision application in aquaponic cropping systems industry. IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) https://doi.org/10.1109/HNICEM51456.2020.9400070
Disciplines
Computer Sciences
Keywords
Aquaponics; Computer vision; Hydroponics
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