Data analysis and inference model for automating operational monitoring activities in Precision Farming and Precision Forestry applications

1st Workshop on Metrology for Agriculture and Forestry

农业科学;数学

Sacco, Pasqualina^1 ; Gallo, Raimondo^2 ; Mazzetto, Fabrizio^2

Fraunhofer Italia Research Scarl, Via Volta 13A, Bolzano

39100, Italy^1

Faculty of Science and Technology, Free University of Bozen (FUB), Piazza Universita 5, Bolzano

39100, Italy^2

关键词: Analysis and evaluation;    Data informations;    Decision making process;    Forestry applications;    Inference models;    Operational monitoring;    Precision farming;    Technological platform;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/275/1/012013/pdf
DOI  :  10.1088/1755-1315/275/1/012013

学科分类：农业科学（综合）

来源: IOP

【 摘 要 】

Each 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.