Harnessing the Power of Transfer Learning in Sunflower Disease Detection: A Comparative Study
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- Khalied Albarrak & Yonis Gulzar & Yasir Hamid & Abid Mehmood & Arjumand Bano Soomro, 2022. "A Deep Learning-Based Model for Date Fruit Classification," Sustainability, MDPI, vol. 14(10), pages 1-16, May.
- Rodica Gabriela Dawod & Ciprian Dobre, 2022. "Automatic Segmentation and Classification System for Foliar Diseases in Sunflower," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
- Sonam Aggarwal & Sheifali Gupta & Deepali Gupta & Yonis Gulzar & Sapna Juneja & Ali A. Alwan & Ali Nauman, 2023. "An Artificial Intelligence-Based Stacked Ensemble Approach for Prediction of Protein Subcellular Localization in Confocal Microscopy Images," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
- Promila Ghosh & Amit Kumar Mondal & Sajib Chatterjee & Mehedi Masud & Hossam Meshref & Anupam Kumar Bairagi, 2023. "Recognition of Sunflower Diseases Using Hybrid Deep Learning and Its Explainability with AI," Mathematics, MDPI, vol. 11(10), pages 1-24, May.
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- Edmond Maican & Adrian Iosif & Sanda Maican, 2023. "Precision Corn Pest Detection: Two-Step Transfer Learning for Beetles (Coleoptera) with MobileNet-SSD," Agriculture, MDPI, vol. 13(12), pages 1-24, December.
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Keywords
disease classification; sunflower diseases; artificial intelligence; convolutional neural networks; transfer learning; precision agriculture; adjustable learning;All these keywords.
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