An Open-Source Platform for GIS Data Management and Analytics

Area of Science:

• Agricultural Science
• Computer Science
• Environmental Science

Background:

• Effective decision-making in precision agriculture requires accurate and timely data acquisition, management, and analysis.
• Multisource and heterogeneous data collection for soil characteristics estimation is critical for understanding soil health.
• Challenges exist in integrating and analyzing diverse soil datasets for actionable insights.

Purpose of the Study:

• To propose a software platform for collecting, visualizing, managing, and analyzing soil data in precision agriculture.
• To enable the integration of multisource data (proximity, airborne, spaceborne) for comprehensive soil analysis.
• To incorporate custom predictive systems for soil digital mapping and decision support.

Main Methods:

• Development of a software platform designed for precision agriculture.
• Integration of data from various sources, including on-board acquisition devices.
• Implementation of custom predictive systems for soil digital mapping.
• Conducting usability experiments to evaluate the platform's effectiveness.

Main Results:

• The software platform successfully facilitates the collection, visualization, management, and analysis of soil data.
• The platform handles heterogeneous data from multiple sources, supporting precision agriculture applications.
• Usability experiments confirmed the software is easy to use and effective for soil data management.

Conclusions:

• Decision support systems are crucial for advancing precision agriculture.
• The proposed software platform offers significant benefits for soil data management and analysis.
• Effective management of soil data through integrated platforms can enhance crop productivity and sustainability.