Model based on the principles of smart agriculture to mitigate the effects of frost and improve agricultural production in the Cundiboyacense plateau
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May 29, 2022
About this article
Article Category: Article
Published Online: May 29, 2022
Received: Dec 07, 2021
DOI: https://doi.org/10.2478/ijssis-2022-0006
Keywords
© 2022 Carlos A. Toledo et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Decision variables example for decision making_ Own sourse_
| Option 1 | ||
| Temperature | <0 | Alarm sent to the farmer |
| Humidity | >50% | |
| Cloudiness | Category 1 | |
| Option 2 | ||
| Temperature | < 10 | Activation of the actuator and alarm |
| Humidity | > 50% | |
| Cloudiness | Category 1 | |
| Option 3 | ||
| Temperature | < 10 | No activation |
| Humidity | < 50% | |
| Cloudiness | Category 1 | |
Patent Search at WIPO_ Own source_
| Boolean equation | Findings |
| Smart agriculture OR precision agriculture | 42980 |
| Smart agriculture | 19540 |
| Smart agriculture AND Agricultural implement | 6639 |
| Smart agriculture AND crop | 996 |
| Smart agriculture AND sensor | 412 |
| Smart agriculture AND Latin America | 1 |