Developing an Automated Soil Fertility Detection System Using Deep Learning

This Omdena Local Chapter Challenge runs for 4 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by Oyo, Nigeria Chapter.

The problem

Agriculture depends heavily on soil analysis and detection, but the present approaches are frequently labor, time intensive and yield variable results. This problem created a need for more effective and efficient soil analysis techniques that can deliver precise and quick information on the characteristics and quality of the soil.

Traditional soil analysis techniques rely on labor-intensive manual processes that can produce variable results. Additionally, their broad use is constrained by the fact that they can be a lot and frequently require expensive equipment and educated employees. By offering a faster and more precise approach to soil analysis, deep learning has the potential to revolutionize soil fertility identification and analysis.

An artificial intelligence solution can help identify if the soil is fertile or not for agricultural purposes.

The goals

In this project, the Omdena Oyo Chapter team aims to develop a deep learning model that will predict whether the soil is fertile or not. The project’s primary goal is to accurately predict soil fertility.

With a duration of four weeks, this project aims to:

• Data Collection and Exploratory Data Analysis.
• Preprocessing and Feature Extraction.
• Model Development, training, and Evaluation.
• App development.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work