Tilapia Decision Support Tool
Date Issued
Date Online
Language
Type
Review Status
Access Rights
Usage Rights
Metadata
Full item pageCitation
Stander H, Greengrass C, Oladejo S, Watson B, Nel A, Salie K, Mudege N, Kakwasha K, Lundeba M, Hossain R, Siamudaala V . 2023. Tilapia Decision Support Tool. AICCRA Multimedia. Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA).
Permanent link to cite or share this item
External link to download this item
DOI
Abstract/Description
The tilapia decision support tool 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.