$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

FF-PCA-LDA: Intelligent Feature Fusion Based PCA-LDA Classification System for Plant Leaf Diseases 원문보기

Applied sciences, v.12 no.7, 2022년, pp.3514 -   

Ali, Safdar ,  Hassan, Mehdi ,  Kim, Jin Young ,  Farid, Muhammad Imran ,  Sanaullah, Muhammad ,  Mufti, Hareem

Abstract AI-Helper 아이콘AI-Helper

Crop leaf disease management and control pose significant impact on enhancement in yield and quality to fulfill consumer needs. For smart agriculture, an intelligent leaf disease identification system is inevitable for efficient crop health monitoring. In this view, a novel approach is proposed for ...

참고문헌 (35)

  1. Haverkort, A. J., Boonekamp, P. M., Hutten, R., Jacobsen, E., Lotz, L. A. P., Kessel, G. J. T., Visser, R. G. F., van der Vossen, E. A. G.. Societal Costs of Late Blight in Potato and Prospects of Durable Resistance Through Cisgenic Modification. Potato research, vol.51, no.1, 47-57.

  2. 10.5120/8176-1495 

  3. Guenthner, J. F., Michael, K. C., Nolte, P.. The economic impact of potato late blight on US growers. Potato research, vol.44, no.2, 121-125.

  4. Yellareddygari, S. K. R., Taylor, Raymond J., Pasche, Julie S., Zhang, Anqing, Gudmestad, Neil C.. Predicting potato tuber yield loss due to early blight severity in the Midwestern United States. European journal of plant pathology, vol.152, no.1, 71-79.

  5. Wahabzada, Mirwaes, Mahlein, Anne-Katrin, Bauckhage, Christian, Steiner, Ulrike, Oerke, Erich-Christian, Kersting, Kristian. Plant Phenotyping using Probabilistic Topic Models: Uncovering the Hyperspectral Language of Plants. Scientific reports, vol.6, 22482-.

  6. Nejat, Naghmeh, Vadamalai, Ganesan. Diagnostic techniques for detection of phytoplasma diseases: past and present. Journal of plant diseases and protection : scientific journal of the German Phytomedical Society (DPG), vol.120, no.1, 16-25.

  7. Thomas, Stefan, Kuska, Matheus Thomas, Bohnenkamp, David, Brugger, Anna, Alisaac, Elias, Wahabzada, Mirwaes, Behmann, Jan, Mahlein, Anne-Katrin. Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective. Journal of plant diseases and protection : scientific journal of the German Phytomedical Society (DPG), vol.125, no.1, 5-20.

  8. Patil Leaf disease severity measurement using image processing Int. J. Eng. Technol. 2011 3 297 

  9. Kamlapurkar Detection of Plant Leaf Disease Using Image Processing Approach Int. J. Sci. Res. Publ. 2016 6 73 

  10. Hu Detection of Late Blight Disease on Potato Leaves Using Hyperspectral Imaging Technique Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu 2016 36 515 

  11. Liu, Jun, Wang, Xuewei. Plant diseases and pests detection based on deep learning: a review. Plant methods, vol.17, no.1, 22-.

  12. Hassan, Mehdi, Ali, Safdar, Alquhayz, Hani, Safdar, Khushbakht. Developing intelligent medical image modality classification system using deep transfer learning and LDA. Scientific reports, vol.10, 12868-.

  13. Ali, Safdar, Hassan, Mehdi, Saleem, Muhammad, Tahir, Syed Fahad. Deep transfer learning based hepatitis B virus diagnosis using spectroscopic images. International journal of imaging systems and technology, vol.31, no.1, 94-105.

  14. Lai, ZhiFei, Deng, HuiFang. Medical Image Classification Based on Deep Features Extracted by Deep Model and Statistic Feature Fusion with Multilayer Perceptron . Computational intelligence and neuroscience, vol.2018, 2061516-.

  15. Selvaraj, Michael Gomez, Vergara, Alejandro, Ruiz, Henry, Safari, Nancy, Elayabalan, Sivalingam, Ocimati, Walter, Blomme, Guy. AI-powered banana diseases and pest detection. Plant methods, vol.15, no.1, 92-.

  16. Zeng, Weihui, Li, Miao. Crop leaf disease recognition based on Self-Attention convolutional neural network. Computers and electronics in agriculture, vol.172, 105341-.

  17. Saleem, Muhammad Hammad, Khanchi, Sapna, Potgieter, Johan, Arif, Khalid Mahmood. Image-Based Plant Disease Identification by Deep Learning Meta-Architectures. Plants, vol.9, no.11, 1451-.

  18. Zhong, Yong, Zhao, Ming. Research on deep learning in apple leaf disease recognition. Computers and electronics in agriculture, vol.168, 105146-.

  19. Sharma, Parul, Berwal, Yash Paul Singh, Ghai, Wiqas. Performance analysis of deep learning CNN models for disease detection in plants using image segmentation. Information processing in agriculture, vol.7, no.4, 566-574.

  20. Saleem, Muhammad Hammad, Potgieter, Johan, Arif, Khalid Mahmood. Plant Disease Classification: A Comparative Evaluation of Convolutional Neural Networks and Deep Learning Optimizers. Plants, vol.9, no.10, 1319-.

  21. Sujatha, R., Chatterjee, Jyotir Moy, Jhanjhi, NZ, Brohi, Sarfraz Nawaz. Performance of deep learning vs machine learning in plant leaf disease detection. Microprocessors and microsystems, vol.80, 103615-.

  22. Iscan, Z., Yuksel, A., Dokur, Z., Korurek, M., Olmez, T.. Medical image segmentation with transform and moment based features and incremental supervised neural network. Digital signal processing, vol.19, no.5, 890-901.

  23. Hassan, M., Chaudhry, A., Khan, A., Kim, J.Y.. Carotid artery image segmentation using modified spatial fuzzy c-means and ensemble clustering. Computer methods and programs in biomedicine, vol.108, no.3, 1261-1276.

  24. Ojala, T., Pietikainen, M., Maenpaa, T.. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE transactions on pattern analysis and machine intelligence, vol.24, no.7, 971-987.

  25. Di Huang, Caifeng Shan, Ardabilian, M., Yunhong Wang, Liming Chen. Local Binary Patterns and Its Application to Facial Image Analysis: A Survey. IEEE transactions on systems, man and cybernetics. a publication of the IEEE Systems, Man, and Cybernetics Society. Part C, Applications and reviews, vol.41, no.6, 765-781.

  26. Du, J.X., Wang, X.F., Zhang, G.J.. Leaf shape based plant species recognition. Applied mathematics and computation, vol.185, no.2, 883-893.

  27. Tahir, Muhammad. Pattern analysis of protein images from fluorescence microscopy using Gray Level Co-occurrence Matrix. Journal of King Saud University. Science, vol.30, no.1, 29-40.

  28. Amin, Ayyaz, Ghouri, Nimrah, Ali, Safdar, Ahmed, M., Saleem, M., Qazi, Javaria. Identification of new spectral signatures associated with dengue virus infected sera. Journal of Raman spectroscopy : JRS, vol.48, no.5, 705-710.

  29. Heagerty, Patrick J., Lumley, Thomas, Pepe, Margaret S.. Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker. Biometrics, vol.56, no.2, 337-344.

  30. Athanikar Potato leaf diseases detection and classification system Int. J. Comp. Sci. Mob. Comput. 2016 5 76 

관련 콘텐츠

오픈액세스(OA) 유형

GOLD

오픈액세스 학술지에 출판된 논문

저작권 관리 안내
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로