Computer Tools for Diagnosing Citrus Leaf Symptoms (Part 2): Smartphone Apps for Expert Diagnosis of Citrus Leaf Symptoms
Visual identification of nutrient deficiencies in foliage is an important diagnostic tool for fine-tuning nutrient management of citrus. This new 2-page article describes a new smartphone app that uses a trained neural network to identify disease and pest symptoms on citrus leaves through your phon...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The University of Florida George A. Smathers Libraries
2020-10-01
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| Series: | EDIS |
| Online Access: | https://journals.flvc.org/edis/article/view/115441 |
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| _version_ | 1823868778938630144 |
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| author | Arnold Schumann Laura Waldo Perseveranca Mungofa Chris Oswalt |
| author_facet | Arnold Schumann Laura Waldo Perseveranca Mungofa Chris Oswalt |
| author_sort | Arnold Schumann |
| collection | DOAJ |
| description |
Visual identification of nutrient deficiencies in foliage is an important diagnostic tool for fine-tuning nutrient management of citrus. This new 2-page article describes a new smartphone app that uses a trained neural network to identify disease and pest symptoms on citrus leaves through your phone's camera. Written by Arnold Schumann, Laura Waldo, Perseveranca Mungofa, and Chris Oswalt, and published by the UF/IFAS Department of Soil and Water Sciences.
https://edis.ifas.ufl.edu/ss691
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| format | Article |
| id | doaj-art-01644cebc6cf46e7b89e09f4fe0bd780 |
| institution | Kabale University |
| issn | 2576-0009 |
| language | English |
| publishDate | 2020-10-01 |
| publisher | The University of Florida George A. Smathers Libraries |
| record_format | Article |
| series | EDIS |
| spelling | doaj-art-01644cebc6cf46e7b89e09f4fe0bd7802025-02-08T05:47:36ZengThe University of Florida George A. Smathers LibrariesEDIS2576-00092020-10-0120205Computer Tools for Diagnosing Citrus Leaf Symptoms (Part 2): Smartphone Apps for Expert Diagnosis of Citrus Leaf SymptomsArnold Schumann0Laura Waldo1Perseveranca Mungofa2Chris Oswalt3University of FloridaUniversity of FloridaUniversity of FloridaUniversity of Florida Visual identification of nutrient deficiencies in foliage is an important diagnostic tool for fine-tuning nutrient management of citrus. This new 2-page article describes a new smartphone app that uses a trained neural network to identify disease and pest symptoms on citrus leaves through your phone's camera. Written by Arnold Schumann, Laura Waldo, Perseveranca Mungofa, and Chris Oswalt, and published by the UF/IFAS Department of Soil and Water Sciences. https://edis.ifas.ufl.edu/ss691 https://journals.flvc.org/edis/article/view/115441 |
| spellingShingle | Arnold Schumann Laura Waldo Perseveranca Mungofa Chris Oswalt Computer Tools for Diagnosing Citrus Leaf Symptoms (Part 2): Smartphone Apps for Expert Diagnosis of Citrus Leaf Symptoms EDIS |
| title | Computer Tools for Diagnosing Citrus Leaf Symptoms (Part 2): Smartphone Apps for Expert Diagnosis of Citrus Leaf Symptoms |
| title_full | Computer Tools for Diagnosing Citrus Leaf Symptoms (Part 2): Smartphone Apps for Expert Diagnosis of Citrus Leaf Symptoms |
| title_fullStr | Computer Tools for Diagnosing Citrus Leaf Symptoms (Part 2): Smartphone Apps for Expert Diagnosis of Citrus Leaf Symptoms |
| title_full_unstemmed | Computer Tools for Diagnosing Citrus Leaf Symptoms (Part 2): Smartphone Apps for Expert Diagnosis of Citrus Leaf Symptoms |
| title_short | Computer Tools for Diagnosing Citrus Leaf Symptoms (Part 2): Smartphone Apps for Expert Diagnosis of Citrus Leaf Symptoms |
| title_sort | computer tools for diagnosing citrus leaf symptoms part 2 smartphone apps for expert diagnosis of citrus leaf symptoms |
| url | https://journals.flvc.org/edis/article/view/115441 |
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