The Paper Work Only Considered Frontal and Fresh Leaves When Creating Leaf Image Databases.
In Future, Cap-Lr Can Consider and Analyze Leaves That Are Wrinkled, Occult and Dry. Another Difficult
Field of Research Can Be Considered In Similar Ways Is Color Discoloration or Discolored Leaves. Advanced
Operations Such As Parallel Workflow Processing Can Be Studied to Increase the Speed of the Recognition
Of the Leaf Disorder For Plant Identification. Parallel Task Processing Can Be Used to Group Algorithms
Together During the Different Recognition Stages. This Study Proposed Techniques For Improving The
Operation of Plant Identification Leaf Recognition. Positive Results from the Different Experiments Show
That the Model Proposals Discriminate Effectively Against the Various Leaves and Identify the Right Plant To
Match the Image of the Inserted Leaf. the Botanists Can Therefore Safely Use This to Increase Their
Efficiency In Plant Recognition and Thus Save Valuable Plants In Order to Improve the Quality of Human Life
And Life on Earth.A System For Improving the Leaf Image Was Proposed, Called 'Enhanced Wavelet-Based
Demoizing With Built-In Edge Enhancement and Automatic Contrast Adjustment Algorithm.The 197 Method
Combines the Wavelets, Clahe (Contrast Adjustment), Corner Enhances and a Relaxed Middle Filter (Noise
Removal), With a Single Procedure to Increase the Visual Quality of the Leaf Image. Texture-Based Color
Segmentation Technique Called 'Enhanced Wavelet-Based Segmenta ...