Autors: Antonov, S. I.
Title: An advanced method for chilli plant disease detection using image processing
Keywords: Chilli disease, Leaf image, Image Processing

References

    Issue

    52nd International Scientific Conference On Information, Communication and Energy Systems and Technologies (ICEST), pp. 309-313, 2017, Serbia, Publishing House, Technical University of Sofia, ISSN 2603-3259

    Цитирания (Citation/s):
    1. Y. Sambrani, Rajashekarappa and S. Bhairannawar, "Chili Disease Detection and Classification using Various Machine Learning Techniques," 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC), Dharwad, India, 2023, pp. 1-6, doi: 10.1109/ICAISC58445.2023.10199988. - 2023 - в издания, индексирани в Scopus или Web of Science
    2. Al Wajieh, M. W. (2023). Klasifikasi Jenis Kelengkeng Berdasarkan Morfologi Daun Dengan Ekstraksi Ciri RGB, GLCM, dan Bentuk Menggunakan Metode BPNN. Jurnal Aplikasi Teknologi Informasi Dan Manajemen (JATIM), 4(2), 183 - 193. https://doi.org/10.31102/jatim.v4i2.2341 - 2023 - в издания, индексирани в Scopus или Web of Science
    3. S. Varur, A. Mugad, A. Kinagi, A. Shanbhag, K. Hiremath and U. Kulkarni, "Identification of Anthracnose in Chillies using Deep Learning on Embedded Platforms," 2023 3rd International Conference on Smart Data Intelligence (ICSMDI), Trichy, India, 2023, pp. 350-356, doi: 10.1109/ICSMDI57622.2023.00068. - 2023 - в издания, индексирани в Scopus или Web of Science
    4. Saputra, R.A., Adhinata, F.D., Ramadhan, N.G., Charisma, R.A. (2023). A Model Convolutional Neural Network for Early Detection of Chili Plant Diseases in Small Datasets. In: Triwiyanto, T., Rizal, A., Caesarendra, W. (eds) Proceeding of the 3rd International Conference on Electronics, Biomedical Engineering, and Health Informatics. Lecture Notes in Electrical Engineering, vol 1008. Springer, Singapore. https://doi.org/10.1007/978-981-99-0248-4_10 - 2023 - в издания, индексирани в Scopus или Web of Science
    5. S. Nuanmeesri and W. Sriurai, “Multi-Layer Perceptron Neural Network Model Development for Chili Pepper Disease Diagnosis Using Filter and Wrapper Feature Selection Methods”, Eng. Technol. Appl. Sci. Res., vol. 11, no. 5, pp. 7714–7719, https://doi.org/10.48084/etasr.4383, Oct. 2021. - 2021 - в издания, индексирани в Scopus или Web of Science
    6. S. D. C. S. E. Araujo, V. S. Malemathh and K. M. Sundaram, "Automated G-4 Disease Identification Agricultural Intelligent System: An impression and survey," 2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM), Gautam Buddha Nagar, India, 2022, pp. 37-43, doi: 10.1109/ICIPTM54933.2022.9754145. - 2022 - в издания, индексирани в Scopus или Web of Science
    7. Al Wajieh, M.W. and Al-Farisi, B.L., 2022, December. Classification of Longan Types Using The Back-Propagation Neural Network Algorithm Based on Leaf Morphology With Shape Characteristics. In Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) (Vol. 3, pp. 00035-00035), DOI: https://doi.org/10.29103/micoms.v3i.196 - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Google Scholar