Leaf Wetness and Agrometeorological Dataset
Published: 11 October 2025| Version 1 | DOI: 10.17632/sd4b8vpvyb.1
Contributors:
Giovanni Paolo Colucci, , , Description
Agrometeorological dataset acquired in-field using weather stations that comprise several sensors: double-sided capacitive leaf wetness, air temperature and relative humidity, soil temperature and volumetric water content, wind speed and rainfalls. Stations have been deployed in seven selected sites in Italy along the whole Italian territory, characterized by different weather, altitude, geographical orientation, slope.
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Institutions
- Politecnico di Torino
Categories
Machine Learning, Weather, Agrometeorology, Agriculture