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dc.contributor.authorMartos Núñez, María Vanesa 
dc.contributor.authorAhmad, Ali
dc.contributor.authorCartujo Cassinello, Pedro 
dc.contributor.authorOrdóñez García, Bonifacio Javier
dc.identifier.citationMartos, V... [et al.]. Ensuring Agricultural Sustainability through Remote Sensing in the Era of Agriculture 5.0. Appl. Sci. 2021, 11, 5911. []es_ES
dc.descriptionThis work was supported by the projects: "VIRTUOUS" funded by the European Union's Horizon 2020 Project H2020-MSCA-RISE-2019. Ref. 872181, "SUSTAINABLE" funded by the European Union's Horizon 2020 Project H2020-MSCA-RISE-2020. Ref. 101007702 and the "Project of Excellence" from Junta de Andalucia 2020. Ref. P18-H0-4700. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.es_ES
dc.description.abstractTimely and reliable information about crop management, production, and yield is considered of great utility by stakeholders (e.g., national and international authorities, farmers, commercial units, etc.) to ensure food safety and security. By 2050, according to Food and Agriculture Organization (FAO) estimates, around 70% more production of agricultural products will be needed to fulfil the demands of the world population. Likewise, to meet the Sustainable Development Goals (SDGs), especially the second goal of “zero hunger”, potential technologies like remote sensing (RS) need to be efficiently integrated into agriculture. The application of RS is indispensable today for a highly productive and sustainable agriculture. Therefore, the present study draws a general overview of RS technology with a special focus on the principal platforms of this technology, i.e., satellites and remotely piloted aircrafts (RPAs), and the sensors used, in relation to the 5th industrial revolution. Nevertheless, since 1957, RS technology has found applications, through the use of satellite imagery, in agriculture, which was later enriched by the incorporation of remotely piloted aircrafts (RPAs), which is further pushing the boundaries of proficiency through the upgrading of sensors capable of higher spectral, spatial, and temporal resolutions. More prominently, wireless sensor technologies (WST) have streamlined real time information acquisition and programming for respective measures. Improved algorithms and sensors can, not only add significant value to crop data acquisition, but can also devise simulations on yield, harvesting and irrigation periods, metrological data, etc., by making use of cloud computing. The RS technology generates huge sets of data that necessitate the incorporation of artificial intelligence (AI) and big data to extract useful products, thereby augmenting the adeptness and efficiency of agriculture to ensure its sustainability. These technologies have made the orientation of current research towards the estimation of plant physiological traits rather than the structural parameters possible. Futuristic approaches for benefiting from these cutting-edge technologies are discussed in this study. This study can be helpful for researchers, academics, and young students aspiring to play a role in the achievement of sustainable agriculture.es_ES
dc.description.sponsorshipEuropean Commission 101007702 872181es_ES
dc.description.sponsorshipJunta de Andalucia P18-H0-4700es_ES
dc.rightsAtribución 3.0 España*
dc.subjectAgriculture 5.0es_ES
dc.subjectRemotely piloted aircrafts (RPAs)es_ES
dc.subjectPrecision agriculturees_ES
dc.subjectRemote sensing es_ES
dc.subjectInternet of Things (IoT)es_ES
dc.subjectDigital agriculturees_ES
dc.subjectSustainable Development Goalses_ES
dc.subjectAgricultural robotses_ES
dc.titleEnsuring Agricultural Sustainability through Remote Sensing in the Era of Agriculture 5.0es_ES

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Atribución 3.0 España
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