Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.12348/5818
Climate Information Systems (CIS) for Aquaculture: Development of a temperature-based early warning alert system for fish farmers in Zambia
Abstract
- This paper presents a temperature-based early warning alert system for fish farmers in Zambia. The decision support tool indicating the conditions under which air temperatures may result in a normal, high risk or emergency scenario, combined with the monitoring and management mitigations recommended under each scenario. During model development, five models were compared, including linear regression, stochastic regression, deep learning, random forest, and decision tree. The data was modelled for a pond designed according to best aquaculture practices, and therefore, pond size and pond depth are constants.
- External link to download this item: https://mel.cgiar.org/dspace/limited
Collections
- Sustainable aquaculture [2702]
View/ Open
Date
- 2023
Author
-
Stander, H.
-
Mudege, N.
-
Hossain, P.R.
-
Lundeba, M.
Author(s) ORCID(s)
- Netsayi Mudegehttps://orcid.org/0000-0002-0389-1967
- Peerzadi Rumana Hossainhttps://orcid.org/0000-0002-1125-284X
- Mary Lundebahttps://orcid.org/0000-0001-8274-0800
Subject(s)
AGROVOC Keywords
Type
- Presentation
Publisher
- Stellenbosch University (SU)