Page 862 - AI for Good Innovate for Impact
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AI for Good Innovate for Impact
Use Case 6: Intelligent Soil Analyzer and Crop Fertilizers Advisory
System
Country: Tanzania
Organization: Mbeya University of Science and Technology (MUST)
Contact Person:
Projestus Protas projestusprotas601@ gmail .com
1 Use case summary Table
Category Smart Agriculture
The problem to Farmers choose crops to plant and fertilizer to use in the farm basing on their
be addressed own understanding and historical practices of previous farmers. This leads to
inefficient resource use and low crop yields.
Key aspects of This system will provide accurate recommendations and suggestions to farm-
the solution ers about a suitable crop to cultivate in the farm and amount of fertilizer
needed basing on nutrients level in the farm.
Technology Intelligent soil analyzer, Crop fertilizer advisory system, IoT sensors, Machine
keywords learning, Remote server and Sustainable agriculture.
Data availability Private (Collected on site by IoT sensors) and Public ( Collected from Kaggle
archive platform for training datasets)
Metadata (type Numerical data (NPK values, soil pH , soil moisture, rainfall and temperature)
of data) and Text data (Crop type, Fertilizer type)
Model Training Random forest classifier is going to be the main machine learning algorithm
and fine-tuning to processes and analyze the collected data
Testbeds or pilot Plantix. n.d [3]
deployment CropIn. n.d [4]
2 Use case description
2�1 Description
Agriculture is backbone of the economy, but farmers face issues like poor crop selection, soil
degradation, inefficient fertilizer use, and nutrient deficiencies. Current farming methods don't
effectively address these challenges. There is a need of system that provides real-time insights
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