Local Chapter Ethiopia Local Chapter
Coordinated byEthiopia ,
Status: Completed
Project Duration: 26 Mar 2023 - 17 May 2023
Open Source resources available from this project
Project background.
The necessary nutrients for plant growth are nitrogen, potassium, and phosphorus. The amount of these minerals in the soil in combination with the weather condition elements can be used to differentiate the type of plat to be harvested at that particular land.
The problem.
In this challenge, we will try to address a plant type recommender system using the nitrogen, phosphorus, and potassium values of the soil. We will also consider the amount of temperature, humidity, and altitude in order to make our recommendations more accurate.
Project goals.
Project plan.
Week 1
Data collection and Data preparation
Week 2
Training machine learning model
Week 3
Training the machine learning model and preparing it for implementation
Week 4
Project completion and submission
Learning outcomes.
Data science, Machine learning
