Classification of Corn Leaf Disease Using the Optimized DenseNet-169 Model
Author:
Affiliation:
1. Informatics Engineering, Indonesian, Indonesia
2. Department of Informatics Engineering, University of Trunojoyo Madura, Indonesia
3. Computer Engineering, Indonesian, Indonesia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3512576.3512588
Reference17 articles.
1. TINJAUAN PERKEMBANGAN PERTANIAN JAGUNG DI MADURA DAN ALTERNATIF PENGOLAHAN MENJADI BIOMATERIAL
2. Plant leaf disease classification using EfficientNet deep learning model;Uçar M.;Ecol. Inform.,2020
3. LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis;Cap Q. H.;IEEE Trans. Autom. Sci. Eng.,2020
4. Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning
5. Comparison of Neural Network and Random Forest Classifier Performance on Dragon Fruit Disease
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1. A Fine-Tuned DenseNet Model for an Efficient Maize Leaf Disease Classification;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14
2. Combining Spatial and Temporal Analysis: A CNN-LSTM Hybrid Model for Maize Disease Classification;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09
3. Classification of Corn Leaf Diseases using Loss-Fused Convolutional Neural Network;2023 International Conference on Information Management and Technology (ICIMTech);2023-08-24
4. Multi-stage Transfer Learning for Corn Leaf Disease Classification;2023 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS);2023-06-17
5. Classification of Corn Leaf Diseases using Various Pre-trained Deep Learning Networks and Performance Comparison;2022 International Conference on Advances in Computing, Communication and Materials (ICACCM);2022-11-10
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