Aquaponics Systems Modelling
Aquaponics Food Production Systems: Combined Aquaculture and Hydroponic Production Technologies for the Future, Page: 267-300
2019
- 19Citations
- 58Captures
- 1Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Most Recent News
Standard architecture design to automate aquaponics crops/Diseño de arquitectura estandar para Automatizar cultivos acuaponicos.
1. Introduction To achieve the global transition to sustainable food and agriculture, it is essential to improve environmental protection, system resilience, and resource use efficiency
Book Chapter Description
Mathematical models can take very different forms and very different levels of complexity. A systematic way to postulate, calibrate and validate, as provided by systems theory, can therefore be very helpful. In this chapter, dynamic systems modelling of aquaponic (AP) systems, from a systems theoretical perspective, is considered and demonstrated to each of the subsystems of the AP system, such as fish tanks, anaerobic digester and hydroponic (HP) greenhouse. It further shows the links between the subsystems, so that in principle a complete AP systems model can be built and integrated into daily practice with respect to management and control of AP systems. The main challenge is to choose an appropriate model complexity that meets the experimental data for estimation of parameters and states and allows us to answer questions related to the modelling objective, such as simulation, experiment design, prediction and control.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85161857343&origin=inward; http://dx.doi.org/10.1007/978-3-030-15943-6_11; https://link.springer.com/10.1007/978-3-030-15943-6_11; https://dx.doi.org/10.1007/978-3-030-15943-6_11; https://link.springer.com/chapter/10.1007/978-3-030-15943-6_11
Springer Science and Business Media LLC
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