Author:
Rodriguez Rani E,De Castro Joel T,Sansolis Evans B,Gerardo Bobby D,Byun Yung-Cheol
Abstract
Abstract
The aqua-agriculture food sector, challenged by climate change, exploited biodiversity, food insecurity, water crisis, and global pandemic, urgently needs the sustainability transition and more sustainable practices. Sustainability transitions aim to transform current patterns of production and consumption into sustainable ones while enhancing the ecological and economic situation. This agenda is much possible with the integration of IIoT and AI/ML into the aqua agriculture. In this study, the researchers integrated a Prediction Model based on Bagging and Boosting Ensemble Technique in the Decision Support System of an Autonomous Smart IIoT Smart Aquaponic System that autonomously monitored, controlled, and managed the aquaponic systems.
Subject
Computer Science Applications,History,Education
Reference10 articles.
1. T-duality and Penrose limits of spatially homogeneous and inhomogeneous cosmologies;Kunze;Phys. Rev. D,2003
2. How to Feed the World in 2050,2018
3. Smart Aquaponics System: Challenges and Opportunities;Shafeena;Eur. J. Adv. Eng. Technol.,2016
4. Threats To Food Security and Common Agricultural Policy;Kwasek;Ekon. Poljopr.,2013