PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology Article Swipe
YOU?
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· 2016
· Open Access
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· DOI: https://doi.org/10.4108/eai.1-12-2016.151711
In 2013, 85% of the peach production in the Mendoza region (Argentina) was lost because of frost. In a couple of hours, farmers can lose everything. Handling a frost event is possible, but it is hard to predict when it is going to happen. The goal of the PEACH project is to predict frost events by analyzing measurements from sensors deployed around an orchard. This article provides an in-depth description of a complete solution we designed and deployed: the low-power wireless network and the back-end system. The low-power wireless network is composed entirely of commercial o-the-shelf devices. We develop a methodology for deploying the network and present the open-source tools to assist with the deployment and to monitor the network. The deployed low-power wireless mesh network is 100% reliable, with end-to-end latency below 2 s, and over 3 years of battery lifetime. This article discusses how the technology used is the right one for precision agriculture applications.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.4108/eai.1-12-2016.151711
- http://eudl.eu/pdf/10.4108/eai.1-12-2016.151711
- OA Status
- diamond
- Cited By
- 38
- References
- 18
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2559518640
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2559518640Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.4108/eai.1-12-2016.151711Digital Object Identifier
- Title
-
PEACH: Predicting Frost Events in Peach Orchards Using IoT TechnologyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-12-01Full publication date if available
- Authors
-
Thomas Watteyne, Ana Diedrichs, Keoma Brun‐Laguna, Javier Emilio Chaar, Diego Dujovne, Juan Carlos Taffernaberry, Gustavo MercadoList of authors in order
- Landing page
-
https://doi.org/10.4108/eai.1-12-2016.151711Publisher landing page
- PDF URL
-
https://eudl.eu/pdf/10.4108/eai.1-12-2016.151711Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://eudl.eu/pdf/10.4108/eai.1-12-2016.151711Direct OA link when available
- Concepts
-
Frost (temperature), Internet of Things, Environmental science, Horticulture, Computer science, Meteorology, Geography, Embedded system, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
38Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 5, 2022: 4, 2021: 6, 2020: 7, 2019: 5Per-year citation counts (last 5 years)
- References (count)
-
18Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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