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AI for Good-Innovate for Impact
Use case – 47: Water conservation using AI-enabled smart irrigation
systems in agriculture Use-case
Country: Tanzania
Organization: University of Dodoma
Contact person: Joel Emmanuel Mshana joelmsha4@ gmail .com, +255755787327
Adolf Faustine adolffaustine200@ gmail .com ,+ 255 711583374/+255629653757
47�1� Use case summary table
Domain Water conservation and Agriculture
Inefficiency and water wastage associated with
Problem to be addressed traditional irrigation methods in Tanzania and simi-
lar regions facing water scarcity.
• AI-driven smart irrigation systems optimize
water usage.
• Real-time monitoring and adjustment of irriga-
Key aspects of the solution tion schedules.
• Sustainable agriculture practices supported by
optimized water usage, minimizing environmen-
tal impact.
Irrigation systems, water conservation, Artificial
Technology keywords
intelligence, IoT
Public data from ministry of agriculture in tanzania
Data availability
and private data
Numerical such as weather data, Soil data, EX data,
Metadata (type of data)
plant profile data, etc.
Train - LSTM model
Model Training and fine tuning Fine tuning - the LSTM model can be fine tuned for
good start
Dodoma region, selected for its representative soil
Testbeds or pilot deployments types, crop varieties, and climate conditions preva-
lent in Tanzanian agriculture.
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