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Jump to: 2024 | 2023 | 2021 | 2017
Number of items: 6.

2024

Latherow, T., Arnoult, M., Engel, T., Gralfs, R., Hrynevych, O., Karampoiki, M., Mahmood, S., Murdoch, A., Paraforos, D., Ranieri, E., Todman, L. ORCID: https://orcid.org/0000-0003-1232-294X, Tranter, R. ORCID: https://orcid.org/0000-0003-0702-6505 and Hammond, J. ORCID: https://orcid.org/0000-0002-6241-3551 (2024) Optimising precision agriculture choices for arable farmers in Germany and the UK: the LINKDAPA approach. EuroChoices. ISSN 1478-0917 doi: https://doi.org/10.1111/1746-692X.12426

2023

Mahmood, S. A., Karampoiki, M., Hammond, J. P. ORCID: https://orcid.org/0000-0002-6241-3551, Paraforos, D. S., Murdoch, A. J. and Todman, L. ORCID: https://orcid.org/0000-0003-1232-294X (2023) Embedding expert opinion in a Bayesian network model to predict wheat yield from spring-summer weather. Smart Agricultural Technology, 4. 100224. ISSN 2772-3755 doi: https://doi.org/10.1016/j.atech.2023.100224

Karampoiki, M., Todman, L. ORCID: https://orcid.org/0000-0003-1232-294X, Mahmood, S., Murdoch, A. J., Hammond, J. ORCID: https://orcid.org/0000-0002-6241-3551, Ranieri, E., Griepentrog, H.W. and Paraforos, D.S. (2023) A Bayesian network approach for grain protein content prediction of winter wheat. In: Stafford, J. V. (ed.) Precision agriculture '23. Wageningen Academic Publishers, pp. 429-434. ISBN 9789086863938 doi: https://doi.org/10.3920/978-90-8686-947-3_53

2021

Murdoch, A. J., Todman, L. ORCID: https://orcid.org/0000-0003-1232-294X, Mahmood, S. A., Karampoiki, M., Paraforos, D. S., Antognelli, S., Guidotti, D., Ranieri, E., Ahrholz, T., Petri, J. and Engel, T. (2021) Predicting the probability that higher profits could be achieved by adopting PA. In: Precision agriculture '21, July 2021, Budapest, pp. 941-947. doi: https://doi.org/10.3920/978-90-8686-916-9_113 (9789086863631)

Karampoiki, M., Heiß, A., Sharipov, G. M., Mahmood, S., Todman, L. C. ORCID: https://orcid.org/0000-0003-1232-294X, Murdoch, A., Griepentrog, H. W. and Paraforos, D. S. (2021) Producing grain yield maps by merging combine harvester and remote sensing data. In: Precision Agriculture '21, July 2021, Budapest, pp. 645-651. doi: https://doi.org/10.3920/978-90-8686-916-9_77 (ISBN 9789086863631)

2017

Mahmood, S. A. and Murdoch, A. J. (2017) Within-field variations in sugar beet yield and quality and their correlation with environmental variables in the East of England. European Journal of Agronomy, 89. pp. 75-87. ISSN 1161-0301 doi: https://doi.org/10.1016/j.eja.2017.05.007

This list was generated on Thu Dec 26 16:56:36 2024 UTC.

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