Mohammad Kautsar Sophan

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Personal Profile
Expertise related to UN Sustainable Development Goals

This person's work contributes towards the following SDG(s):

Zero hunger
Concepts
GABA and Rice Research
Computer Science and Engineering
Smart Agriculture and AI
Image Processing Techniques and Applications
Industrial Vision Systems and Defect Detection
Agricultural Research and Practices
Advanced Data and IoT Technologies
Research output (5)
Classification of Rice Disease Using Deep Learning Object Detection Yolov8
https://doi.org/10.62527/joiv.9.6.3578
Source: JOIV International Journal on Informatics Visualization
Authors: Budi Dwi Satoto; Deshinta Arrova Dewi; Devie Rosa Anamisa; Muhammad Yusuf; Mohammad Kautsar Sophan et al.
article cite 0 Year 2025 Open Access
Rice fields based on Nitrogen levels using Learning Vision Transformer with Squeeze and Excitation
https://doi.org/10.1109/itis64716.2024.10845368
Source:
Authors: Budi Dwi Satoto; Budi Irmawati; Devie Rosa Anamisa; Mohammad Yusuf; Mohammad Kautsar Sophan et al.
article cite 0 Year 2024 Closed
Rice Pest and Disease Classification using Transfer Learning Inception V3 with data augmentation.
https://doi.org/10.1109/icoiact59844.2023.10455896
Source:
Authors: Budi Dwi Satoto; Budi Irmawati; Devie Rosa Anamisa; Mohammad Yusuf; Mohammad Kautsar Sophan et al.
article cite 2 Year 2023 Closed
Rice seed classification using machine learning and deep learning
https://doi.org/10.1109/icic56845.2022.10006960
Source: 2022 Seventh International Conference on Informatics and Computing (ICIC)
Authors: Budi Dwi Satoto; Budi Irmawati; Devie Rosa Anamisa; Mohammad Yusuf; Mohammad Kautsar Sophan et al.
article cite 12 Year 2022 Closed
Rice disease classification based on leaf damage using deep learning
https://doi.org/10.1109/icicos56336.2022.9930567
Source:
Authors: Budi Dwi Satoto; Budi Irmawati; Devie Rosa Anamisa; Mohammad Yusuf; Mohammad Kautsar Sophan et al.
article cite 1 Year 2022 Closed
See Also
Lihat semua penulis Lihat semua paper