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 application for Farmers to recommend them the best types of crops which can be cultivated on a certain piece of land using Soil Image.
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.
Agro companion is a soil classification, crop recommendation and crop information website. It helps identify seven types of soils, recommend 20+ crop based on specific factors and also help search information required to grow them.
Desarollo movido a https://github.com/ppizarror/granulometria-gui
soilDT: the soil classification app
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