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dc.contributor.authorVurro, Filippo
dc.contributor.authorCroci, Michele
dc.contributor.authorImpollonia, Giorgio
dc.contributor.authorMarchetti, Edoardo
dc.contributor.authorGracia-Romero, Adrian
dc.contributor.authorBettelli, Manuele
dc.contributor.authorAraus, José Luis
dc.contributor.authorAmaducci, Stefano
dc.contributor.authorJanni, Michela
dc.contributor.otherProducció Vegetalca
dc.date.accessioned2024-01-16T14:19:50Z
dc.date.available2024-01-16T14:19:50Z
dc.date.issued2023-11-14
dc.identifier.citationVurro, Filippo, Michele Croci, Giorgio Impollonia, Edoardo Marchetti, Adrian Gracia‐Romero, Manuele Bettelli, J. L. Araus, Stefano Amaducci, and Michela Janni. 2023. “Field Plant Monitoring from Macro to Micro Scale: Feasibility and Validation of Combined Field Monitoring Approaches from Remote to in Vivo to Cope with Drought Stress in Tomato.” Plants 12 (22): 3851. https://doi.org/10.3390/plants12223851.ca
dc.identifier.issn2223-7747ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/2692
dc.description.abstractMonitoring plant growth and development during cultivation to optimize resource use efficiency is crucial to achieve an increased sustainability of agriculture systems and ensure food security. In this study, we compared field monitoring approaches from the macro to micro scale with the aim of developing novel in vivo tools for field phenotyping and advancing the efficiency of drought stress detection at the field level. To this end, we tested different methodologies in the monitoring of tomato growth under different water regimes: (i) micro-scale (inserted in the plant stem) real-time monitoring with an organic electrochemical transistor (OECT)-based sensor, namely a bioristor, that enables continuous monitoring of the plant; (ii) medium-scale (<1 m from the canopy) monitoring through red–green–blue (RGB) low-cost imaging; (iii) macro-scale multispectral and thermal monitoring using an unmanned aerial vehicle (UAV). High correlations between aerial and proximal remote sensing were found with chlorophyll-related indices, although at specific time points (NDVI and NDRE with GGA and SPAD). The ion concentration and allocation monitored by the index R of the bioristor during the drought defense response were highly correlated with the water use indices (Crop Water Stress Index (CSWI), relative water content (RWC), vapor pressure deficit (VPD)). A high negative correlation was observed with the CWSI and, in turn, with the RWC. Although proximal remote sensing measurements correlated well with water stress indices, vegetation indices provide information about the crop’s status at a specific moment. Meanwhile, the bioristor continuously monitors the ion movements and the correlated water use during plant growth and development, making this tool a promising device for field monitoring.ca
dc.description.sponsorshipThe research activities were supported by projects POSITIVE (Regione EmiliaRomagna ERDF project 2014–2020), and by the Project PON «R&I» 2014–2020—Azione II—“E-crops—Technologies for Digital and Sustainable Agriculture” funded by the Italian Ministry of University and Research (MUR) under the PON Agrifood Program (Contract ARS01_01136).ca
dc.format.extent16ca
dc.language.isoengca
dc.publisherMDPIca
dc.relation.ispartofPlantsca
dc.rightsAttribution 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleField Plant Monitoring from Macro to Micro Scale: Feasibility and Validation of Combined Field Monitoring Approaches from Remote to in Vivo to Cope with Drought Stress in Tomatoca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.subject.udc633ca
dc.identifier.doihttps://doi.org/10.3390/plants12223851ca
dc.contributor.groupCultius Extensius Sosteniblesca


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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
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