Systematic Literature Review for Classification of Wheat Just Review

3. RESEARCH METHODS
Experiments
Surveys
Questioners
Interviews
Case Studies
Participants and Non Participant Observations
Observation Trails
Studies Using Delphi Methods

4. DATA COLLECTED
Investigate how CVS can be used
for inspection and grading wheat
grains?
Machine Vision System Extract
Morphology?
Feasibility of Classifying the
Components and their Appropriate
Classes

5. Main Advantage of Grading?
Wheat forecasting Techniques?
How A Computer Can Classify
different kind of Wheat Grains?
Accuracy of Different Methods

6. TECHNIQUES OF VISION SYSTEM
Neural Network
Component Analysis
KNN Algorithms
Morphological Features
BPN & GRNN & PNN
ANN
MLP
Neuro Fuzzy Networks
Machine Algorithm(OVR & LM)

7. MATERIAL AND METHODS
SYSTEM ARCHITECTURE

8. CLASSIFICATION PROCESS

9. METHODOLOGY OFWHEAT CLASSIFICATION

10. RESEARCH FINDINGS
IMPLICATIONS
NEXT PHASE

11. CONCLUSION
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