Crop Yield Prediction based on Indian Agriculture using Machine Learning | Crop Yield Prediction
Crop Yield Prediction based on Indian Agriculture using Machine Learning
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Crop Yield Prediction is an important feature of agriculture domain that helps farmers to make correct decision for huge losses for their crops. User have to provide the details of temperature (C), Humidity, Nitrogen, Phosphorous, Potassium from those inputs values model will predict the crop. It will predict and monitor crop and plot a graphs of individual values.
Implement machine learning model for crop yield prediction, a huge dataset of crop yield data is required. The machine learning algorithm is trained on dataset to learn the relationship between input and output. After the model trained it can be used to do prediction about crop yield.
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Software Requirements:-
1. Operating System: Win 7 or more
2. Programming Language: Python
3. Web Interface: HTML, CSS, Django
Hardware Requirement :-
1. Processor-i3
2. Hard disk-5GB
3. Memory-2GB RAM
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