Publikationen

2024

Barreto, A., Ispizua Yamati, F. R. 2024. Alternative zur Einsparung. Fungizideinsatz mit Unterstützung von Drohnen: Auswertung von Drohnenaufnahmen in Zuckerrüben. dzz 59(2): 42-43


Barreto, A., Ispizua Yamati, F. R. 2024. Können Drohnen helfen, Fungizide einzusparen? Zuckerrübe 73(2): 34-35


Eini, O., Pfitzer, R., Varrelmann, M. 2024. Rapid and specific detection of Pentastiridius leporinus by recombinase polymerase amplification assay. B. Entomol. Res.: 1-8

https://doi.org/10.1017/S0007485324000099

Fishkis, O., Weller, J., Lehmhus, J., Pöllinger, F., Strassemeyer, J. Koch, H.-J. 2024: Ecological and economic evaluation of conventional and new weed control techniques in row crops. Agriculture, Ecosystems & Environment 360, 1-13

https://doi.org/10.1016/j.agee.2023.108786

Giongo, A., Arnhold, J., Grunwald, D., Smalla, K., Braun-Kiewnick, A. 2024: Soil depths and microhabitats shape soil and root-associated bacterial and archaeal communities more than crop rotation in wheat. Front. Microbiomes 3

https://doi.org/10.3389/frmbi.2024.1335791

Groeneveld, M., Grunwald, D., Piepho, H.-P., Koch, H.-J. 2024. Crop rotation and sowing date effects on yield of winter wheat. J. Agr. Sci.: 1-11

https://doi.org/10.1017/S0021859624000261

Heim, R. H. J., Okole, N., Steppe, K., van Labeke, M., Geedicke, I., Maes, W. 2024. An applied framework to unlocking multi angular UAV reflectance data: a case study for classification of plant parameters in maize (Zea mays). Precis. Agric. 25: 1751-1775

https://doi.org/10.1007/s11119-024-10133-0

Hoffmann, C. M. 2024. Marc content of sugar beet in Germany. Sugar Ind. int. 149(5): 379-385


Ispizua Yamati, F. R., Heim, R.H.J., Günder, M., Gajda, W., Mahlein, A.-K. 2024: Image-to-image translation for satellite and UAV remote sensing: a use case for Cercospora Leaf Spot monitoring on sugar beet. In: IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Pisa, Italy, 06.-08.11.2023. IEEE, ed., 783-787

https://www.doi.org/10.1109/MetroAgriFor58484.2023.10424276

Ispizua Yamati, F. R., Günder, M., Barreto Alcántara, A. A., Bömer, J., Laufer, D., Bauckhage, C., Mahlein, A.-K. 2024. Automatic scoring of Rhizoctonia crown and root rot affected sugar beet fields from orthorectified UAV images using Machine Learning. Plant Dis. 108(3), 711-724

https://doi.org/10.1094/PDIS-04-23-0779-RE