Computer Tools for Diagnosing Citrus Leaf Symptoms (Part 2): Smartphone Apps for Expert Diagnosis of Citrus Leaf Symptoms
A person's hand holding a smartphone, taking a picture of a leaf for analysis. Credit: UF/IFAS
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PDF-2020

How to Cite

Schumann, Arnold, Laura Waldo, Perseveranca Mungofa, and Chris Oswalt. 2020. “Computer Tools for Diagnosing Citrus Leaf Symptoms (Part 2): Smartphone Apps for Expert Diagnosis of Citrus Leaf Symptoms”. EDIS 2020 (5). https://doi.org/10.32473/edis-ss691-2020.

Abstract

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://doi.org/10.32473/edis-ss691-2020
view on EDIS
PDF-2020

References

Redmon, Joseph, and Ali Farhadi. 2018. YOLOv3: An Incremental Improvement. University of Washington. https://github.com/pjreddie

Copyright (c) 2020 UF/IFAS