Abstract
This research aims to carry out a systematic review of the available literature about smart irrigation systems. It will be focused on systems using artificial intelligence techniques in urban and rural agriculture for soil crops to identify those that are currently being used or can be adapted to urban agriculture. To this end, a modified PRISMA 2020 method is applied, and three search equations are formulated. From those filters, and after a screening process, 170 articles are obtained. These articles are analyzed through VantagePoint, a text processing software. After this, they are taken through a detailed analysis phase in which 50 sources are selected as the most relevant to be read and analyzed by topic. Finally, the different phases of the analysis are used to draw conclusions that might be interesting for researchers working in this specific field or for the general public interested in rural and urban agriculture and its automation.
| Original language | English |
|---|---|
| Article number | 342 |
| Journal | Agronomy |
| Volume | 13 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 2023 |
Bibliographical note
Publisher Copyright:© 2023 by the authors.
Keywords
- Internet of Things (IoT)
- agriculture
- artificial intelligence (AI)
- fuzzy logic
- machine learning (ML)
- smart irrigation system
- urban agriculture
Types Minciencias
- Artículos de investigación con calidad A1 / Q1
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