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https://soilnet.herokuapp.com/ Created a Soil Classification model using Deep Learning which also suggests Crops in 6 different languages and deployed on Heroku. Soil Classification is one of the most important topics, for Farmers and Agriculture Researchers.

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OMIII1997/Soil-Type-Classification

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Soil-Type-Classification for Crops Suggestion 🌳🌲🎄🎋🌴

Model deployed as Web-Application API at:🎯🔗📳

https://soilnet.herokuapp.com/

Code Notebook at Kaggle: 📝📒📔📑🧾💻

https://www.kaggle.com/omkargurav/soil-type-classification-soilnet

Dataset available at: 📚📓🗞💾

https://www.kaggle.com/omkargurav/soil-classification-image-data

For this project a deep learning model is trained with 903 images of four different types soil. "Alluvial", "Black", "Clay" , "Red". All images are collected from Google Search Engine and crafted and filtered.

Based on the type of the Soil Crops will be suggested. Model is deployed on Heroku Platform.

Acknoledgement: 🎓💡🏷🔖📌

I am expressing my gratitude towards Sir Krish Naik for his super clear explanation about Neural Network in Deep Learning Playlist and Model Deployment Tutorial

I am also thankful to Sir Akash Zade for his model deployment explanation at AI in Agri Playlist.

Click on Below Image for Project Demo: 😍👀🔍📺📡

YouTube

Screen-Shots:🖥🖨✔🖼📷

Image Image Image Image Image Image Image Image Image

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https://soilnet.herokuapp.com/ Created a Soil Classification model using Deep Learning which also suggests Crops in 6 different languages and deployed on Heroku. Soil Classification is one of the most important topics, for Farmers and Agriculture Researchers.

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