Soil Type Classification Through Image Processing and Machine Learning This project is in development process for our Thesis Project.
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Updated
Oct 9, 2022 - Jupyter Notebook
Soil Type Classification Through Image Processing and Machine Learning This project is in development process for our Thesis Project.
A web-based software that classifies type of soil based on its physical properties using CNN. Outputs soil information and amendment for soil improvment.
An open-source software for geotechnical engineering analysis and modeling.
• Designed a classification model with 5 classes and 98% testing accuracy using a Convolutional Neural Network. • Applied Data Augmentation and reduced validation losses by 30% by applying MobileNetV2 Architecture.
An application for Farmers to recommend them the best types of crops which can be cultivated on a certain piece of land using Soil Image.
Desarollo movido a https://github.com/ppizarror/granulometria-gui
soilDT: the soil classification app
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