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Morelli, Agata ; Masetti, Antonio
(2026)
Dataset for: Smartphone and web apps for pest and disease management in viticulture: a mapping of functionality, AI integration, and accessibility.
University of Bologna.
DOI 10.6092/unibo/amsacta/9102.
[Dataset]
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![[thumbnail of README documenting the variable coding, special-value legend, and provenance for the accompanying viticulture pest-management app dataset.]](https://amsacta.unibo.it/style/images/fileicons/text.png) |
Documento di testo(testo) (README documenting the variable coding, special-value legend, and provenance for the accompanying viticulture pest-management app dataset.)
Licenza: Creative Commons: Attribuzione 4.0(CC BY 4.0) Download (8kB) |
![[thumbnail of Application-level coding matrix mapping 49 smartphone and web-based applications for pest and disease management in viticulture.]](https://amsacta.unibo.it/style/images/fileicons/other.png) |
Foglio di Calcolo (Application-level coding matrix mapping 49 smartphone and web-based applications for pest and disease management in viticulture.)
Licenza: Creative Commons: Attribuzione 4.0(CC BY 4.0) Download (31kB) |
Abstract
This dataset contains the application-level coding matrix underlying a systematic mapping of 49 publicly available smartphone and web-based applications supporting pest and disease management in viticulture. Applications were identified through a systematic search of commercial app stores (Google Play, Apple App Store) and Google Search conducted between March and May 2026 (search cutoff: 31 May 2026), and coded across four evaluation layers: IPM functional support (nine components), AI and computational intelligence integration, interoperability, and pricing accessibility. Full variable definitions are provided in the accompanying README and Codebook sheet.
Abstract
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