Publication
A LoRaWAN IoT system for smart agriculture for vine water status determination
| dc.contributor.author | Valente, António | |
| dc.contributor.author | Costa, Carlos M. | |
| dc.contributor.author | Pereira, Leonor Sousa | |
| dc.contributor.author | Soares, Bruno | |
| dc.contributor.author | Lima, José | |
| dc.contributor.author | Soares, Salviano | |
| dc.date.accessioned | 2022-04-06T14:06:48Z | |
| dc.date.available | 2022-04-06T14:06:48Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | In view of the actual climate change scenario felt across the globe, resource management is crucial, especially with regard to water. In this sense, continuous monitoring of plant water status is essential to optimise not only crop management but also water resources. Currently, monitoring of vine water status is done through expensive and time-consuming methods that do not allow continuous monitoring, which is especially inconvenient in places with difficult access. The aim of the developed work was to install three groups of sensors (Environmental, Plant and Soil) in a vineyard and connect them through LoRaWAN protocol for data transmission. The results demonstrate that the implemented system is capable of continuous data communication without data loss. The reduced cost and superior range of LoRaWAN compared to WiFi or Bluetooth is especially important for applications in remote areas where cellular networks have little coverage. Altogether, this methodology provides a remote, continuous and more effective method to monitor plant water status and is capable of supporting producers in more efficient management of their farms and water resources. | pt_PT |
| dc.description.sponsorship | This work was financially supported by: i) Project NOR-WATER funded by INTERREG VA Spain-Portugal cooperation programme, Cross-Border North Portugal/Galizia Spain Cooperation Program (POCTEP); ii) Project SERPIC funded by the European Uniońs Horizon 2020 research and innovation programme under grant agreement No. 869178-AquaticPollutants; and iii) Base-UIDB/50020/2020 and Programmatic-UIDP/50020/2020 Funding of LSRE-LCM, funded by national funds through FCT/MCTES (PIDDAC). P. H. Presumido acknowledges FCT for his scholarship (SFRH/BD/138756/2018). Vítor J. P. Vilar acknowledges the FCT Individual Call to Scientific Employment Stimulus 2017 (CEECIND/01317/2017). Maja Đoli´c acknowledges the grants issued from the Ministry of Education and Science of the Republic of Serbia (Contract No. 451-03-9/2021-14/200135). We also thank Amparo Forneli for assistance in characterizing G-TiO2 films. Financial support by the Spanish Ministry of Science and Innovation (Severo Ochoa and RTI2018-890237-CO2-R1) and Generalitat Valenciana (Prometeo 2017-83) is also gratefully acknowledged. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Valente, António; Costa, Carlos; Pereira, Leonor Sousa; Soares, Bruno; Lima, José; Soares, Salviano. A LoRaWAN IoT system for smart agriculture for vine water status determination. Agriculture. EISSN 2077-0472. 12:10, p. 1-17 | pt_PT |
| dc.identifier.eissn | 2077-0472 | |
| dc.identifier.uri | http://hdl.handle.net/10198/25373 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | MDPI | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Smart agriculture | pt_PT |
| dc.subject | IoT | pt_PT |
| dc.subject | LoRaWAN | pt_PT |
| dc.subject | WSN | pt_PT |
| dc.subject | Water status | pt_PT |
| dc.title | A LoRaWAN IoT system for smart agriculture for vine water status determination | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.title | Agriculture | pt_PT |
| person.familyName | Lima | |
| person.givenName | José | |
| person.identifier | R-000-8GD | |
| person.identifier.ciencia-id | 6016-C902-86A9 | |
| person.identifier.orcid | 0000-0001-7902-1207 | |
| person.identifier.rid | L-3370-2014 | |
| person.identifier.scopus-author-id | 55851941311 | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | d88c2b2a-efc2-48ef-b1fd-1145475e0055 | |
| relation.isAuthorOfPublication.latestForDiscovery | d88c2b2a-efc2-48ef-b1fd-1145475e0055 |
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