Crop Yield Prediction based on Indian Agriculture using Machine Learning Project
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.
Crop and Soil Monitoring by Artificial Intelligence
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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