Research output per year
Research output per year
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Dive into the research topics where Michiel Kallenberg is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning
Baja, H., Kallenberg, M. & Athanasiadis, I. N., 11 Apr 2025, Thirty-Ninth AAAI Conference on Artificial Intelligence, Thirty-Seventh Conference on Innovative Applications of Artificial Intelligence, Fifteenth Symposium on Educational Advances in Artificial Intelligence: AAAI-25 Special Track on AI for Social Impact, Senior Member Presentations, New Faculty Highlights, Journal Track. Walsh, T., Shah, J. & Kolter, Z. (eds.). Washington: Association for the Advancement of Artificial Intelligence, p. 27831-27840 (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 27).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review
Open Access -
To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning
Baja, H. A., Kallenberg, M. G. J. & Athanasiadis, I. N., 22 Jan 2025, arXiv.Research output: Working paper › Preprint
Open Access -
Domain adaptation with transfer learning for pasture digital twins
Pylianidis, C., Kallenberg, M. G. J. & Athanasiadis, I. N., 15 Mar 2024, In: Environmental Data Science. 3, 14 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access2 Citations (Scopus) -
Integrating processed-based models and machine learning for crop yield prediction
Kallenberg, M., Maestrini, B., van Bree, R., Ravensbergen, P., Pylianidis, C., van Evert, F. & Athanasiadis, I., 28 Jul 2023. 6 p.Research output: Contribution to conference › Conference paper › Academic › peer-review
Open Access -
Nitrogen management with reinforcement learning and crop growth models
Kallenberg, M. G. J., Overweg, H. C., van Bree, R. J. & Athanasiadis, I. N., 25 Sept 2023, In: Environmental Data Science. 2, 12 p., e34.Research output: Contribution to journal › Article › Academic › peer-review
Open Access7 Citations (Scopus)
Datasets
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CY-Bench: A comprehensive benchmark dataset for subnational crop yield forecasting
Paudel, D. (Creator), Baja, H. (Creator), van Bree, R. (Creator), Kallenberg, M. (Creator), Ofori-Ampofo, S. (Creator), Potze, A. (Creator), Poudel, P. (Creator), Saleh, A. (Creator), Anderson, W. (Creator), von Bloh, M. (Creator), Castellano, A. (Creator), Ennaji, O. (Creator), Hamed, R. (Creator), Laudien, R. (Creator), Lee, D. (Creator), Luna, I. (Creator), Masiliūnas, D. (Creator), Meroni, M. (Creator), Mutuku, J. M. (Creator), Mkuhlani, S. (Creator), Richetti, J. (Creator), Ruane, A. C. (Creator), Sahajpal, R. (Creator), Shuai, G. (Creator), Sitokonstantinou, V. (Creator), de Souza Noia Junior, R. (Creator), Srivastava, A. K. (Creator), Strong, R. (Creator), Sweet, L. (Creator), Vojnović, P. (Creator), de Wit, A. (Creator), Zachow, M. (Creator) & Athanasiadis, I. N. (Supervisor), AgML, 6 Jun 2024
Dataset
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Artificial Intelligence for reducing fertilizer and pesticide use
Baja, H. (PhD candidate), Athanasiadis, I. (Promotor) & Kallenberg, M. (Co-promotor)
1/11/22 → …
Project: PhD
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Digital Future Farm
Kallenberg, M. (PI) & Athanasiadis, I. (Project Leader)
1/04/22 → 31/07/23
Project: PostDoc