A unified platform for GIS data management and analytics
Flavio Piccoli, Simone Locatelli, Paolo Napoletano, Raimondo Schettini

TL;DR
This paper presents a unified software platform that integrates diverse GIS data sources for soil analysis, enabling efficient visualization, management, and predictive analytics to support precision agriculture.
Contribution
It introduces a flexible, user-friendly platform capable of handling multisource GIS data and integrating custom predictive models for soil estimation.
Findings
Platform effectively manages heterogeneous GIS data
Usability experiments confirm ease of use and effectiveness
Supports on-board data integration and custom predictive systems
Abstract
In this work we propose a software platform for the collection, visualization, management and analysis of heterogeneous and multisource data for soil characteristics estimation. The platform is designed in such a way that it can easily handle proximity, airborne and spaceborne data and provides to the final user all the tools and proper visualizations to perform precision agriculture. The proposed software allows an easy integration of new data (that can be performed directly on-board of the acquisition device) and the possibility to add custom predictive systems for soil characteristic estimation. Usability experiments show that the platform is easy to use and effective.
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Taxonomy
TopicsSmart Agriculture and AI
