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Smartcrop
Python machine-learning crop recommendation system for location-based farming advice.
SmartCrop is a Python-based crop recommendation project that uses machine learning (e.g., GaussianNB and other classifiers) to predict suitable crops from soil, climate, and rainfall features. It processes augmented Indian datasets (soil nutrients, weather, fertilizer), reports model training and validation metrics, and is intended for agroTech apps that provide location-specific crop suggestions and decision support; example deployments run on Google Cloud using AMD instances.
Features
Crop Recommendation Engine
Soil And Climate Analysis
Model Training And Evaluation
Dataset Augmentation
Live Demo Deployment
Pricing
Free plan available
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Developer
👨🏻💻 AyushAgnihotri2025 Github Stars
20
Last Commit Date
2023-04-16 (fetched 4 months ago)
Repo URL
AyushAgnihotri2025/SmartCrop Technologies
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