Pubblicazioni

EOdal: An open-source Python package for large-scale agroecological research using Earth Observation and gridded environmental data.

Graf L., Aasen H., Perich G.

EOdal: An open-source Python package for large-scale agroecological research using Earth Observation and gridded environmental data.

Computers and Electronics in Agriculture, 203, 2022, 1-5.

Download englisch (1216 kB)

ISSN Print: 0168-1699
Digital Object Identifier (DOI): https://doi.org/10.1016/j.compag.2022.107487
Publikations-ID (Webcode): 51694 Per E-Mail versenden

Facebook X Xing LinkedIn

Precedenti progetti

https://www.agroscope.admin.ch/content/agroscope/it/home/themen/arbeitsprogramme-alt/arbeitsprogramm-2014-2017/oekologische-intensivierung/schaedlingsprognose-ueberwachung-obst-gemuesebau/publikatiionen.exturl.html/aHR0cHM6Ly9pcmEuYWdyb3Njb3BlLmNoL2RlLUNIL1BhZ2UvUH/VibGlrYXRpb24_ZWluemVscHVibGlrYXRpb25JZD01NTM5MiZw/YXJlbnRVcmw9JTJGZGUtQ0glMkZQYWdlJTJGUHJvamVrdCUyRk/luZGV4JTJGMzgyNg==.html