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UID:pretalx-foss4g-2024-9VXL7F@talks.staging.osgeo.org
DTSTART;TZID=-03:20241204T171500
DTEND;TZID=-03:20241204T174500
DESCRIPTION:**DigiAgriApp** is an free and open-source client-server applic
 ation designed to manage a wide variety of data. This data can be collecte
 d either manually or directly from sensors. \nThe application is composed 
  of various open-source components such as PostgreSQL/PostGIS and  Django 
 for the back-end\, Flutter for the front-end\, and a plugin for QGIS to ma
 nage geometries. \nOver the past year\, since its first presentation in Ko
 sovo\, DigiAgriApp has undergone many improvements and gained new features
 . Users can now save data from measurements and observations made in the f
 ield. Moreover\, a new component has been added to manage production data\
 , particularly data collected by sorting machine\, allowing the possibilit
 y to perform some simple analysis. Other improvements on the  client-side 
 include the possibility of assigning different aspects (such as death\, an
  observation or measurement) to one or more plants. The QGIS plugin allows
  to manage the geographical components of the database\, primarily fields\
 , subfields\, rows and plants. The latest innovation is the integration of
  artificial intelligence\, thanks to a new project funded by the Fondazion
 e Valorizzazione della Ricerca Trentina. Specifically machine vision algor
 ithms have been incorporated to analyze images and provide extrapolated va
 lues. The first application of the model is able to recognize the presence
  of Scaphoideus Titanus\, a vector responsible for spreading the Flavescen
 ce dorée disease\, which poses a potential threat to vineyards\, on a phe
 romone photochromic trap.\nDuring our presentation we will showcase the fi
 rst adoption of the application within FEM covering about 15 hectares and 
 more than 20000 plants to demonstrate the application’s functionalities.
DTSTAMP:20260428T025502Z
LOCATION:Room IV
SUMMARY:DigiAgriApp\, second year update - Luca Delucchi
URL:https://talks.staging.osgeo.org/foss4g-2024/talk/9VXL7F/
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