Crop modelling for integrated assessment of risk to food production from climate change. - Frank Ewert; Reimund P. Rötter; Marco Bindi; Heidi Webber; Marián Trnka; Kurt Christian Kersebaum; Jørgen Eivind Olesen; Martin K. van Ittersum; Sander Janssen; M. Rivington; Mikhail A. Semenov; Daniel Wallach 001; et al. (Environ. Model. Softw., 2015)

Analysis and classification of data sets for calibration and validation of agro-ecosystem models. - Kurt Christian Kersebaum; Kenneth J. Boote; J. S. Jorgenson; Claas Nendel; Marco Bindi; C. Frühauf; Thomas Gaiser; Gerrit Hoogenboom; C. Kollas; Jørgen Eivind Olesen; Reimund P. Rötter; Françoise Ruget; et al. (Environ. Model. Softw., 2015)

Simulating canopy temperature for modelling heat stress in cereals. - Heidi Webber; Frank Ewert; B. A. Kimball; Stefan Siebert 001; Jeffrey W. White; G. W. Wall; M. J. Ottman; D. N. A. Trawally; Thomas Gaiser (Environ. Model. Softw., 2016)

How Do Methods Assimilating Sentinel-2-Derived LAI Combined with Two Different Sources of Soil Input Data Affect the Crop Model-Based Estimation of Wheat Biomass at Sub-Field Level? - Andreas Tewes; Holger Hoffmann; Manuel Nolte; Gunther Krauss; Fabian Schäfer; Christian Kerkhoff; Thomas Gaiser (Remote. Sens., 2020)

Comparison of Machine Learning Methods for Predicting Winter Wheat Yield in Germany. - Amit Kumar Srivastava; Nima Safaei; Saeed Khaki; Gina Lopez; Wenzhi Zeng; Frank Ewert; Thomas Gaiser; Jaber Rahimi (CoRR, 2021)

The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise. - Daniel Wallach 001; Taru Palosuo; Peter J. Thorburn; Zvi Hochman; Emmanuelle Gourdain; Fety Andrianasolo; Senthold Asseng; Bruno Basso; Samuel Buis; Neil Crout; Camilla Dibari; Benjamin Dumont; et al. (Environ. Model. Softw., 2021)

Simulating the Leaf Area Index of Rice from Multispectral Images. - Shenzhou Liu; Wenzhi Zeng; Lifeng Wu; Guoqing Lei; Haorui Chen; Thomas Gaiser; Amit Kumar Srivastava (Remote. Sens., 2021)

Simulating root length density dynamics of sunflower in saline soils based on machine learning. - Lifeng Wu; Wenzhi Zeng; Guoqing Lei; Tao Ma; Jingwei Wu; Jiesheng Huang; Thomas Gaiser; Amit Kumar Srivastava (Comput. Electron. Agric., 2022)

Enhancing short-term forecasting of daily precipitation using numerical weather prediction bias correcting with XGBoost in different regions of China. - Jianhua Dong; Wenzhi Zeng; Lifeng Wu; Jiesheng Huang; Thomas Gaiser; Amit Kumar Srivastava (Eng. Appl. Artif. Intell., 2023)

A Review of Estimation Methods for Aboveground Biomass in Grasslands Using UAV. - Clara Oliva Gonçalves Bazzo; Bahareh Kamali; Christoph Hütt; Georg Bareth; Thomas Gaiser (Remote. Sens., 2023)

Quest to find compromised spatial and temporal resolutions for integrating remote sensing data with an agro-ecosystem model for grasslands. - Bahareh Kamali; Seyed Hamid Ahmadi; Thomas Gaiser; Marion Buddeberg; Claas Nendel (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Integration of UAV-sensed features using machine learning methods to assess species richness in wet grassland ecosystems. - Clara Oliva Gonçalves Bazzo; Bahareh Kamali; Murilo dos Santos Vianna; Dominik Behrend; Hubert Hueging; Inga Schleip; Paul Mosebach; Almut Haub; Axel Behrendt; Thomas Gaiser (Ecol. Informatics, 2024)

Comparison of predictive modeling approaches to estimate soil erosion under spatially heterogeneous field conditions. - Ahsan Raza; Murilo dos Santos Vianna; Seyed Hamid Ahmadi; Muhammad Habiburrahman; Thomas Gaiser (Environ. Model. Softw., 2024)

AMPSOM: A measureable pool soil organic carbon and nitrogen model for arable cropping systems. - Inès Astrid Tougma; Marijn Van de Broek; Johan Six; Thomas Gaiser; Maire Holz; Isabel Zentgraf; Heidi Webber (Environ. Model. Softw., 2025)

Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challenges. - Yue Shi; Liangxiu Han; Xin Zhang 033; Tam Sobeih; Thomas Gaiser; Nguyen Huu Thuy; Dominik Behrend; Amit Kumar Srivastava; Krishnagopal Halder; Frank Ewert (CoRR, 2025)