Developing a Crop Type Recommendation System based on the NPK Values of a Soil using AI

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.

Our primary goal is to create a machine learning model that can accurately recommend the type of plant we need to plant using the nitrogen, phosphorus, and potassium contents of the soil.

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

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