Publications

• Heim, R. HJ., Melloy, P., Okole, N., Ispizua Yamati, F. R., Mahlein, A.‑K. (2024). Remotely sensed leaf area index can improve mechanistic Cercospora beticola epidemiological models for disease predictions. (in preparation)
• Heim, R.HJ., Okole, N., Steppe, K. Van Labeke, M.C., Geedicke, I., Maes, W.H. (2024). An applied framework to unlocking multi-angular UAV reflectance data: a case study for classification of plant parameters in maize (Zea mays). Precision Agriculture. doi:10.1007/s11119-024-10133-0
• Okole, N., Ispizua, F. R. Y., Hossain, R., Varrelmann, M., Mahlein, A.‑K., & Heim, R. HJ. (2024). Leveraging aerial low‑altitude remote sensing and deep learning for in‑field disease incidence scoring of virus yellows in sugar beet. Plant Pathology. doi:https://doi.org/10.1111/ppa.13973
• Yamati, F. R. I., Heim, R. HJ., Günder, M., Gajda, W., & Mahlein, A.‑K. (2023). Image‑to‑image translation for satellite and UAV remote sensing: A use case for Cercospora Leaf Spot monitoring on sugar beet. 2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), 783–787. doi: 10.1109/MetroAgriFor58484.2023.10424276
• Okole, N., Yamati, F. R. I., Hossain, R., Varrelmann, M., Mahlein, A.‑K., & Heim, R. HJ. (2023). Hyperspectral signatures and betalain indicator for beet mosaic virus infection in sugar beet. 2023 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), 506–511. doi: 10.1109/MetroAgriFor58484.2023.10424290
• Vlaminck, M., Diels, L., Philips, W., Maes, W. H., Heim, R. HJ., Wit, B. D., & Luong, H. Q. (2023). A multisensor uav payload and processing pipeline for generating multispectral point clouds. Remote Sensing, 15, 1524. doi:10.36961/si28804
• Heim, R. HJ., Streit, S., Koops, D., Kuska, M. T., & Paulus, S. (2022). Digital weed management – new trends for weed scoring in sugar beet. Sugar Industry, 147, 343–351. doi: 10.36961/si28804
• Kuska, M. T., Heim, R. HJ. (shared first author), Geedicke, I., Gold, K. M., Brugger, A., & Paulus, S. (2022). Digital plant pathology: A foundation and guide to modern agriculture. Journal of Plant Diseases and Protection, 129, 457–468. doi: 10.1007/s41348-022-00600-z
• Mahlein, A., Behmann, J., Bohnenkamp, D., Heim, R. HJ., Streit, S., & Paulus, S. (2022). Automated assessment of plant diseases and plant traits by sensors – how can digital technologies support smart farming and plant breeding? In Advances in plant phenotyping for more sustainable crop production. (pp. 390–404). Burleigh Dodds Science Publishing. doi: 10. 19103/AS.2022.0102.17.
• Mahlein, A.‑K., Heim, R. HJ., Brugger, A., Gold, K. M., Li, Y., Bashir, A. K., Paulus, S., & Kuska, M. T. (2022). Special issue: Digital plant pathology for precision agriculture. Journal of Plant Diseases and Protection, 129, 455–456. doi: 10.1007/ s41348-022-00620-9.
• Ajamian, C., Chang, H.‑C., Tomkins, K., Farebrother, W., Heim, R. HJ., & Rahman, S. M. A. (2021). Identifying invasive weed species in alpine vegetation communities based on spectral profiles. Geomatics, 1, 177–191. doi: 10.3390/GEOMATICS1020011
• Funghi, C., Heim, R. HJ., Schuett, W., Griffith, S. C., & Oldeland, J. (2020). Estimating food resource availability in arid environments with sentinel 2 satellite imagery. PeerJ, 8, e9209. doi: 10.7717/peerj.9209
• Heim, R. HJ., Carnegie, A. J., & Zarco‑Tejada, P. J. (2019). Breaking down barriers between remote sensing and plant pathology. Trop‑ ical Plant Pathology, 44, 398–400. doi: 10.1007/s40858-019-00300-4
• Heim, R. HJ., Wright, I. J., Allen, A. P., Geedicke, I., & Oldeland, J. (2019). Developing a spectral disease index for myrtle rust (Austrop‑ uccinia psidii). Plant Pathology, 68, 738–745. doi: 10.1111/ppa.12996
• Heim, R. HJ., Wright, I. J., Scarth, P. F., Carnegie, A. J., Taylor, D. B., & Oldeland, J. (2019). Multispectral, aerial disease detection for myrtle rust (Austropuccinia psidii) on a lemon myrtle plantation. Drones, 3, 25. doi: 10.3390/drones3010025
• Heim, R. HJ., Wright, I. J., Chang, H.‑C., Carnegie, A. J., Pegg, G. S., Lancaster, E. K., Falster, D. S., & Oldeland, J. (2018). Detecting myrtle rust (Austropuccinia psidii) on lemon myrtle trees using spectral signatures and machine learning. Plant Pathology, 67, 1114–1121. doi: 10.1111/ppa.12830
• Falter, C., Ellinger, D., von Hülsen, B., Heim, R. HJ., & Voigt, C. A. (2015). Simple preparation of plant epidermal tissue for laser mi‑ crodissection and downstream quantitative proteome and carbohydrate analysis. Frontiers in Plant Science, 6, 194. doi: 10.3389/fpls.2015.00194
• Heim, R. HJ., Jürgens, N., Große‑Stoltenberg, A., & Oldeland, J. (2015). The effect of epidermal structures on leaf spectral signatures of ice plants (Aizoaceae). Remote Sensing, 7, 16901–16914. doi: 10.3390/rs71215862