Journal ArticleOpen Access
Evaluating Plant Disease Detection Mobile Applications: Quality and Limitations
Author Affiliations
Central Women's University, Charles Sturt University, City University, Save the Children
Published InAgronomy
Year2022
Citations68
Abstract
In this technologically advanced era, with the proliferation of artificial intelligence, many mobile apps are available for plant disease detection, diagnosis, and treatment, each with a variety of features. These apps need to be categorized and reviewed following a proper framework that ensures their quality. This study aims to present an approach to evaluating plant disease detection mobile apps, which includes providing ratings of distinct features of the apps and insights into the exploitation of artificial intelligence used in plant disease detection. The applicability of these apps for pathogen or disease detection, identification, and treatment will be assessed along with significant insights garnered. For this purpose, plant disease detection apps were searched in three prominent app stores (the Google Play…
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