Key issues in incorporating proximal and remote sensor data into farm decision-making

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dc.contributor.authorSousa, Adélia
dc.contributor.authorSilva, Rafael
dc.contributor.authorSerrano, João
dc.contributor.authorShahidian, Shakib
dc.contributor.authorSilveira, Duarte Lobo
dc.contributor.authorSimões, Manuela
dc.contributor.authorGonçalves, Ana Cristina
dc.contributor.authorCaldinhas, Maria João
dc.contributor.authorCruz, Vasco
dc.contributor.authorJúnior, Arilson
dc.contributor.authorSouza, Silvia
dc.contributor.authorLourenço, Patricia
dc.contributor.authorBaptista, Fátima
dc.contributor.authorCoelho, Diogo
dc.contributor.editorSØrensen, Claus GrØn
dc.date.accessioned2024-05-28T10:52:18Z
dc.date.available2024-05-28T10:52:18Z
dc.date.issued2024-04-23
dc.description.abstract1 Introduction 2 Proximal sensor calibration and validation: evaluating the Grassmaster II probe to estimate pasture productivity 3 Using remote sensing data to identify management zones in olive groves 4 Using remote sensing data to estimate aboveground forest biomass 5 Assessing the carbon footprint of horticultural crops 6 Assessment of animal welfare using the Aurora app 7 Conclusion and future trends 8 Referencespor
dc.identifier.authoremailasousa@uevora.pt
dc.identifier.authoremailjmsilva@uevora.pt
dc.identifier.authoremailjmrs@uevora.pt
dc.identifier.authoremailshakib9@gmail.com
dc.identifier.authoremailduarteamls@gmail.com
dc.identifier.authoremailmmsr@fct.unl.pt
dc.identifier.authoremailacag@uevora.pt
dc.identifier.authoremailmaria.caldinhas@uevora.pt
dc.identifier.authoremailvfc@uevora.pt
dc.identifier.authoremailarilsonjr@outlook.com
dc.identifier.authoremailsilvia.souza@unesp.br
dc.identifier.authoremailpmrlourenco@gmail.com
dc.identifier.authoremailfb@uevora.pt
dc.identifier.authoremaildiogojrc@uevora.pt
dc.identifier.citationSousa, A.M.O., Silva, J.R.M., Serrano, J., Shahidian, S. Silveira, D.L., Simões, M., Gonçalves, A.C., Caldinhas, M.J., Cruz, V.F., Júnior, A.J.O., Souza, S.R.L., Coelho, D.R., Lourenço, P., Baptista, F. (2024). Key issues in incorporating proximal and remote sensor data into farm decision-making. In: Smart farms: improving data-driven decision making in agriculture. Claus GrØn SØrensen (ed.). Burleigh Dodds Science Publishing (Chapter 3). 39 -74 pp. http://dx.doi.org/10.19103/AS.2023.0132.04 ISBN-13: 9781801463829por
dc.identifier.scientificarea214por
dc.identifier.sharewithMEDpor
dc.identifier.urihttp://hdl.handle.net/10174/36892
dc.language.isoengpor
dc.publisherBurleigh Dodds Science Publishingpor
dc.rightsrestrictedAccesspor
dc.subjectremote sensingpor
dc.subjectproximal sensorpor
dc.subjectsmart farmspor
dc.subjectforest biomasspor
dc.subjectcarbon footprintpor
dc.subjectanimal welfarepor
dc.titleKey issues in incorporating proximal and remote sensor data into farm decision-makingpor
dc.typebookPartpor
degois.publication.firstPage39por
degois.publication.lastPage74por
degois.publication.titleSmart farms: improving data-driven decision making in agriculturepor

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