Maize disease classification using transfer learning and convolutional neural network with weighted loss
Maize stands out as a versatile commodity, finding applications in food and animal feed industries. Notably, half of the total demand for maize is met through its utilization as animal feed. Despite its importance, maize cultivation often grapples with crop failures resulting from delayed disease ma...
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| Main Authors: | Krisnanda Ahadian, Novanto Yudistira, Bayu Rahayudi, Ahmad Hoirul Basori, Sharaf J. Malebary, Sami Alesawi, Andi Besse Firdausiah Mansur, Almuhannad S. Alorfi, Omar M. Barukab |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-11-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024156009 |
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