Earticle

초록

영어

Quality crop production plays an essential role in the financial stability of every country. Figuring out the damaging parts of plants can be the best way to prevent loss and improve production. Manually monitoring plant diseases is extremely difficult as it requires a significant amount of work, specialized knowledge of plant diseases, and extensive processing time. Therefore, image processing techniques are used for identifying plant diseases. In this paper, we provide a review on different advanced image processing methods using Machine Learning (ML) and Deep Learning (DL) Algorithms. We also discuss the accuracy of ML and DL methods used in previous studies.

목차

Abstract
1. Introduction
2. Related works
3. Discussion of Image Processing Techniques
3.1. Image Collection
3.2. Image Preprocessing
3.3. Segmentation
3.4. Feature Extraction
3.5. Classification
4. Conclusion
Acknowledgement
References

저자

• Arailym Dosset [ Dept. of Computer Science and Engineering Sejong University ]
• Muhammad Nadeem [ Dept. of Computer Science and Engineering Sejong University ]
• Sukjun Lee [ Dept. of Business Administration Kwangwoon University ]
• Hyeonjoon Moon [ Dept. of Computer Science and Engineering Sejong University ] Correspondence author

참고문헌