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dc.contributor.authorSacco P
dc.contributor.authorGallo R
dc.contributor.authorMazzetto F
dc.contributor.editorTomasini EP
dc.date.accessioned2019-09-30T11:42:12Z
dc.date.available2019-09-30T11:42:12Z
dc.date.issued2019
dc.identifier.issn1755-1307
dc.identifier.urihttp://dx.doi.org/10.1088/1755-1315/275/1/012013
dc.identifier.urihttps://iopscience.iop.org/article/10.1088/1755-1315/275/1/012013
dc.identifier.urihttps://bia.unibz.it/handle/10863/10722
dc.description.abstractEach application of Precision Agriculture or Forestry should be supported by a technological platform able to perform, in an integrated way, the following data-information cycle functions: 1) data collection; 2) data processing; 3) data analysis and evaluation; 4) use of information. In accordance to this view, information are data that are usefully used in a decision making process or within a reporting protocol destined to users external to the enterprise (certification tasks). In order to manage the platform in a complete and efficient manner an adequate information system is needed. Firstly, the paper shows a classification of the possible monitoring solutions based on the different enterprise typologies, highlighting the main technological and interpretative requirements. Secondly, some case studies related to the application of operational monitoring in orchards and forestry are introduced, mainly focusing on some peculiar aspects of the algorithms developed for the implementation of the inference engines.en_US
dc.languageEnglish
dc.language.isoenen_US
dc.publisherIOP Conf. Seriesen_US
dc.relation1st workshop on metrology for agriculture and forestry ; Ancona : 1.10.2018 - 2.10.2018
dc.relation.ispartofseriesIOP Conference Series: Earth and Environmental Science;
dc.rights
dc.titleData analysis and inference model for automating operational monitoring activities in Precision Farming and Precision Forestry applicationsen_US
dc.typeBook chapteren_US
dc.date.updated2019-09-29T03:01:25Z
dc.publication.titleIOP Conf. Series: Earth and Environmental Science
dc.language.isiEN-GB
dc.description.fulltextopenen_US


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