Number of items: 6.
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
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
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)
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.