Mobile apps utilising ai for plant disease identification: A systematic review of user reviews

Iyawa, Gloria

Abstract

Plant pests and diseases are huge issues in agriculture which cause yield loss and threaten food security. There have been many efforts to educate, provide services and tools that help farmers deal with the issue of pests and diseases. Mobile apps that utilise Artificial Intelligence are one such tool that is being explored to have farmers identify diseases. There is evidence of mobile apps utilising Artificial Intelligence on mobile app stores; however, there is a dearth of studies showing how users perceive them. In this paper, we study the perception of users of these mobile apps by scraping 2438 user reviews from 9 Android mobile apps that employ AI. The average rating of the mobile apps is 3.48 and average the install is 1,000,000+. A thematic study on the user reviews is conducted and 19 concrete themes are discovered. The themes are divided across qualities that users liked, qualities they disliked and qualities

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 3rd International Multidisciplinary Information Technology and Engineering Conferenc
• Start Date: Jun 1, 2021
• End Date: Jun 3, 2021
• Acceptance Date: Jan 1, 2021
• Online Publication Date: Jan 1, 2021
• Publication Date: Jan 1, 2021
• Deposit Date: Jun 30, 2025
• Peer Reviewed: Peer Reviewed