PATHMAP (Pathogen And Tree fruit Health MAP): A Smartphone App and Interactive Dashboard to Record and Map Tree Fruit Diseases, Disorders, and Insect Pests

Author:

Jurick Wayne M.1ORCID,Messinger Lindsey2,Wallis Anna3,Peter Kari A.4,Villani Sara5,Bradshaw Michael J.1,Bartholomew Holly P.1,Buser Michael6,Aćimović Srđan G.7ORCID,Fonseca Jorge M.1,Cox Kerik D.8ORCID

Affiliation:

1. USDA-ARS, Food Quality Laboratory, Beltsville, MD

2. Department of Soil and Crop Sciences, Colorado State University, Fort Collins, CO

3. Michigan State University Extension, Grand Rapids, MI

4. Penn State University, Fruit Research and Extension Center, Biglerville, PA

5. North Carolina State University, Department of Entomology and Plant Pathology, Mills River, NC

6. USDA-ARS, Office of National Programs, National Program for Engineering, Beltsville, MD

7. Virginia Tech, School of Plant and Environmental Sciences, Alson H. Smith Jr. Agricultural Research and Extension Center, Winchester, VA

8. Cornell University, Plant Pathology and Plant-Microbe Biology Section, School of Integrative Plant Science, Cornell AgriTech, Geneva, NY

Abstract

PATHMAP (Pathogen And Tree fruit Health MAP) is a smartphone application (app) and interactive dashboard developed specifically for support specialists, extension personnel, and university scientists supporting the tree fruit industry. The PATHMAP app collects detailed information about observed diseases, insect pests, and disorders and provides the option to attach photos. The data are then visualized using a graphical interface dashboard displaying an interactive color-coded map. Prior to the development of PATHMAP, abundant tree fruit disorder data were collected each year, but a central interactive repository for archiving data and facilitating communication of field observations did not exist. PATHMAP has been beta tested by university extension personnel, private consultants, and university scientists to ensure usability and functionality. PATHMAP will be used within the tree fruit industry for monitoring known pest patterns, occurrences, and outbreaks of emerging pathogens. It will augment existing extension diagnosis listservs that have value in visual diagnosis but are cumbersome and have no archiving capabilities. Data obtained through the tool can be used in epidemiological meta-analyses and to develop new predictive models, and can serve as a platform to track emerging pathogens, insects, and disorders for a variety of cropping systems. [Formula: see text] The author(s) have dedicated the work to the public domain under the Creative Commons CC0 “No Rights Reserved” license by waiving all of his or her rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law, 2022.

Funder

USDA-ARS National Program 303 Plant Diseases

Publisher

Scientific Societies

Subject

General Medicine

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