Soil Detection using Image Processing | Crop Prediction using Machine Learning

Crop Fertilizer Prediction and Soil Detection System using Python
This system helps farmers know how much fertilizer to use and what kind of soil they've got. It's like having a clever buddy helping out on the farm! It figures out the best amount of fertilizer for different crops by looking at things like soil and weather. Also, it checks the type of soil in the field to give better advice. This system is simple for farmers and helps them grow more food while using less fertilizer, which is good for nature.
Advantages of using the system:
1. It gets the fertilizer amount just right for different crops.
2. It makes farming easier by doing soil tests and suggesting fertilizer amounts automatically.
3. It's easy for farmers to use.
4. It helps the environment by using less fertilizer.
5. It can change recommendations based on how the soil and crops are doing.
Software Requirements :-
• Coding Language : Python
• Implementation: Web Framework.
• Operating system : Windows 10 / 11.
• Graphical User Interface : HTML, CSS, Django
Hardware Requirement :-
• Input Devices : Keyboard, Mouse.
• System : Pentium i3 Processor.
• Hard Disk : 500 GB.
• Ram : 4 GB.
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