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Field-Level Irrigation Monitoring with Integrated Use of Optical and Radar Time Series in Temperate Regions.

, , , and . IGARSS, page 5448-5451. IEEE, (2022)

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Kosteneffiziente Vermeidung von Treibhausgasemissionen durch Düngereduktion: standortspezifische Analyse mit simulierten Ertragsfunktionen., , , , and . GIL Jahrestagung, volume P-287 of LNI, page 107-112. Gesellschaft für Informatik e.V., (2019)Designing future barley ideotypes using a crop model ensemble, , , , , , , , , and 11 other author(s). European Journal of Agronomy, (2017)How do various maize crop models vary in their responses to climate change factors?, , , , , , , , , and 28 other author(s). Glob Change Biol, 20 (7): 2301--2320 (Jul 1, 2014)Die Simulation von Winterweizenerträgen in Thüringen unter Verwendung von meteorologischen Daten unterschiedlicher räumlicher Auflösung., , , , and . GIL Jahrestagung, volume P-211 of LNI, page 235-238. GI, (2013)Field-Level Irrigation Monitoring with Integrated Use of Optical and Radar Time Series in Temperate Regions., , , and . IGARSS, page 5448-5451. IEEE, (2022)Application of extreme gradient boosting and Shapley Additive explanations to predict temperature regimes inside forests from standard open-field meteorological data., , , and . Environ. Model. Softw., (2022)Multi-wheat-model ensemble responses to interannual climate variability, , , , , , , , , and 38 other author(s). Environmental Modelling & Software, (July 2016)How do various maize crop models vary in their responses to climate change factors?, , , , , , , , , and 28 other author(s). GLOBAL CHANGE BIOLOGY, (July 2014)Simulation of maize evapotranspiration: An inter-comparison among 29 maize models, , , , , , , , , and 25 other author(s). Agricultural and Forest Meteorology, (2019)A case for object capabilities as the foundation of a distributed environmental model and simulation infrastructure., and . Environ. Model. Softw., (2022)