Weed Identification Using Deep Learning and Image Processing
Weed Detection using Image Processing, this project will identify weed plant from several plants, Yolo Algorithm is used for identifying the weed from plant image. This machine learning model is trained on large dataset of weed image so that if user upload any weed image, then it can easily identify the weed from input image, Image Processing Technique is used to process any weed image. Weed Identification project develop using Python programming language.
Weed Detection by using Image Processing
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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