Nutrient deficiency detection and classification in coffee leaves using deep learning models
Coffee is one of the most popular drink in the world, with billions of cups consumed daily. It faces nutritional deficiencies that can reduce yield and productivity. Early detection and treatment are crucial for addressing these issues. Essential nutrients like nitrogen, phosphorus, and potassium ar...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/13/epjconf_icetsf2025_01038.pdf |
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