Processed and integrated into database potato field monitoring data, collected using IoT field sensors, UAV and by manual input

Published: 31 August 2025| Version 1 | DOI: 10.17632/tntjsdhtp3.1
Contributors:
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Description

This dataset presents a multi-source, high-resolution compilation of potato crop development observations, integrating aerial multispectral imagery, IoT sensor data, and manually collected agronomic measurements. The data supports precision agriculture research, particularly in evaluating the relationship between environmental conditions and crop yield.

Files

Steps to reproduce

Import *.csv files into the database. Use code provided as sample to create queries. Preferred database system is Oracle APEX.

Institutions

Vidzemes Augstskola

Categories

Precision Agriculture, Database

Funders

  • Twinning in Environmental Data and Dynamical Systems789 Modelling for Latvia”. TED4LAT
    Grant ID: No. 101079206

Licence