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Assessing the effectiveness of precision agriculture management systems in mediterranean small farms

2020-05Journal article Open access
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dc.contributor.authorLoures, Luis
dc.contributor.authorChamizo, Alejandro
dc.contributor.authorFerreira, Paulo
dc.contributor.authorLoures, Ana
dc.contributor.authorCastanho, Rui
dc.contributor.authorPanagopoulos, Thomas
dc.date.accessioned2020-06-24T09:26:13Z
dc.date.available2020-06-24T09:26:13Z
dc.date.issued2020-05
dc.description.abstractWhile the world population continues to grow, increasing the need to produce more and better-quality food, climate change, urban growth and unsustainable agricultural practices accelerate the loss of available arable land, compromising the sustainability of agricultural lands both in terms of productivity and environmental resilience, and causing serious problems for the production-consumption balance. This scenario highlights the urgent need for agricultural modernization as a crucial step to face forthcoming di culties. Precision agriculture techniques appear as a feasible option to help solve these problems. However, their use needs to be reinvented and tested according to di erent parameters, in order to define both the environmental and the economic impact of these new technologies not only on agricultural production, but also on agricultural sustainability. This paper intends, therefore, to contribute to a better understanding of the impact of precision agriculture through the use of unmanned aerial vehicles (UAV)/remotely piloted aircraft systems (RPAS) and normalized di erence vegetation index (NDVI) techniques in small Mediterranean farms. We present specific data obtained through the application of the aforementioned techniques in three farms located along the Portuguese-Spanish border, considering three parameters (seeding failure, di erentiated irrigation and di erentiated fertilization) in order to determine not only the ecological benefits of these methods, but also their economic and productivity aspects. The obtained results, based on these methods, highlight the fact that an e cient combination of UAV/RPAS and NDVI techniques allows for important economic savings in productivity factors, thus promoting a sustainable agriculture both in ecological and economic terms. Additionally, contrary to what is generally defended, even in small farms, as the ones assessed in this study (less than 50 ha), the costs associated with the application of the aforementioned precision agriculture processes are largely surpassed by the economic gains achieved with their application, regardless of the notorious environmental benefits introduced by the reduction of crucial production inputs as water and fertilizers.pt_PT
dc.description.sponsorshipFCT (VALORIZA)pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/su12093765pt_PT
dc.identifier.issn2071-1050
dc.identifier.urihttp://hdl.handle.net/10400.1/14049
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectPrecision agriculturept_PT
dc.subjectAerial imagingpt_PT
dc.subjectNDVIpt_PT
dc.subjectMediterranean agriculturept_PT
dc.subjectUAV/RPASpt_PT
dc.subjectGISpt_PT
dc.subjectFeasibility studiespt_PT
dc.titleAssessing the effectiveness of precision agriculture management systems in mediterranean small farmspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue9pt_PT
oaire.citation.startPage3765pt_PT
oaire.citation.titleSustainabilitypt_PT
oaire.citation.volume12pt_PT
person.familyNameLoures
person.familyNamePanagopoulos
person.givenNameLuis
person.givenNameThomas
person.identifierR-000-K9N
person.identifier.ciencia-idA81B-A514-56DF
person.identifier.ciencia-id411D-5652-57A8
person.identifier.orcid0000-0002-6611-3417
person.identifier.orcid0000-0002-8073-2097
person.identifier.ridA-3048-2012
person.identifier.scopus-author-id55890417300
person.identifier.scopus-author-id9736690000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationc09e418f-4b78-484c-9abc-18ce1a6508be
relation.isAuthorOfPublication3dfd5be1-8e22-4dda-bd34-f3b1e5f249e2
relation.isAuthorOfPublication.latestForDiscovery3dfd5be1-8e22-4dda-bd34-f3b1e5f249e2

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