| Machine learning technology for early prediction of grain yield at the field scale: A systematic review J Leukel, T Zimpel, C Stumpe Computers and Electronics in Agriculture 207, 107721, 2023 | 23 | 2023 |
| Prediction of pasture yield using machine learning-based optical sensing: a systematic review C Stumpe, J Leukel, T Zimpel Precision Agriculture 25 (1), 430-459, 2024 | 8 | 2024 |
| Smart urban objects to enhance safe participation in major events for the elderly T Zimpel, M Hubl 2019 Federated Conference on Computer Science and Information Systems …, 2019 | 8 | 2019 |
| Machine learning for predicting animal welfare risks in pig farming T Zimpel, M Riekert, A Klein, C Hoffmann Landtechnik 76, 24-35, 2021 | 7 | 2021 |
| Towards animal welfare monitoring in pig farming using sensors and machine learning M Riekert, T Zimpel, C Hoffmann, A Wild, E Gallmann, A Klein Gesellschaft für Informatik eV, 2020 | 3 | 2020 |
| P42 Estimating pasture yield using machine learning and weather data: Effect of small and large prediction horizons T Zimpel, S Perdana-Decker, J Leukel, L Scheurer, U Dickhoefer, ... Animal-science proceedings 14 (4), 628-629, 2023 | 1 | 2023 |
| Modelling Pig Rearing as Digital Shadow T Zimpel Gesellschaft für Informatik eV, 2022 | 1 | 2022 |
| Verbundprojekt UrbanLife+-Teilhabe am städtischen Leben Mönchengladbachs durch MTI mit smarten städtebaulichen Objekten: Schlussbericht Universität Hohenheim: Titel des … J Leukel, M Hubl, B Schehl, T Zimpel, S Kirn Universität Hohenheim, 2021 | 1 | 2021 |
| Maschinelle Lernverfahren zur frühzeitigen Prognose der Handelsklasse T Zimpel, M Riekert, C Hoffmann, A Wild Gesellschaft für Informatik eV, 2020 | 1 | 2020 |
| Predicting herbage biomass on small‐scale farms by combining sward height with different aggregations of weather data L Scheurer, J Leukel, T Zimpel, J Werner, S Perdana‐Decker, ... Agronomy Journal, 2024 | | 2024 |
| Overinterpretation of evaluation results in machine learning studies for maize yield prediction J Leukel, L Scheurer, T Zimpel OSF, 2024 | | 2024 |
| Supplement to the Article: Influence of spatial and temporal variability on the performance of machine learning-based pasture biomass prediction C Stumpe, J Leukel, T Zimpel Available at SSRN 4617637, 2023 | | 2023 |
| Association Rule Mining to Study Process-Related Cause-Effect-Relationships in Pig Farming. T Zimpel, A Wild, H Schrade, S Kirn PMAI@ IJCAI, 25-36, 2022 | | 2022 |
| Verbundprojekt UrbanLife+ Teilhabe am städtischen Leben Mönchengladbachs durch MTI mit smarten städtebaulichen Objekten M Hubl, B Schehl, T Zimpel, S Kirn | | 2021 |
| Maschinelle Lernverfahren zur Prognose von Tierwohlrisiken in der Schweinehaltung T Zimpel, M Riekert, A Klein, C Hoffmann agricultural engineering. eu 76 (1), 2021 | | 2021 |
| Machine learning methods to predict animal welfare risks in pig farming. T Zimpel, M Riekert, A Klein, C Hoffmann | | 2021 |
