M.Sc. Deepak Hanike Basavegowda
Department: Agromechatronics
Research program
Research areas
Biodiversity; Digital Agriculture; Computer Vision; and Robotics
Projects
- DAKIS-pro – Digital Agricultural Knowledge and Information System (DAKIS) - Digitale Wissens- und Informationsverarbeitung in der Landwirtschaft - professional Im Projekt DAKIS-pro wird ein automatisiertes Entscheidungsunterstützungssystem (EUS) entw…
- DAKIS – Agrarsysteme der Zukunft: DAKIS - Digitales Wissens- und Informationssystem für die Landwirtschaft, Teilprojekt H Die Vision, die DAKIS (Digital Agricultural Knowledge and Information System) zugrunde liegt, ist, dass räumlich sowie funktiona…
Publications
- Shamshiri, R.; Sturm, B.; Weltzien, C.; Fulton, J.; Khosla, R.; Schirrmann, M.; Raut, S.; Hanike Basavegowda, D.; Yamin, M.; Hameed, I. (2024): Digitalization of agriculture for sustainable crop production: a use-case review. Frontiers in Environmental Science. : p. 1-32. Online: https://doi.org/10.3389/fenvs.2024.1375193
- Hanike Basavegowda, D.; Schleip, I.; Mosebach, P.; Weltzien, C. (2024): Deep learning-based detection of indicator species for monitoring biodiversity in semi-natural grasslands. Environmental Science and Ecotechnology. (September): p. 100419. Online: https://doi.org/10.1016/j.ese.2024.100419
- Mouratiadou, I.; Lemke, N.; Chen, C.; Wartenberg, A.; Bloch, R.; Donat, M.; Gaiser, T.; Hanike Basavegowda, D.; Helming, K.; Hosseini Yekani, S.; Krull, M.; Lingemann, K.; Macpherson, J.; Melzer, M.; Nendel, C.; Piorr, A.; Shaaban, M.; Zander, P.; Weltzien, C.; Bellingrath-Kimura, S. (2023): The Digital Agricultural Knowledge and Information System (DAKIS): Employing digitalisation to encourage diversified and multifunctional agricultural systems. Environmental Science and Ecotechnology. (Ocotber): p. 100274. Online: https://doi.org/10.1016/j.ese.2023.100274
Weitere Veröffentlichungen
Curriculum Vitae
I am a researcher and engineer passionate about leveraging geospatial intelligence and artificial intelligence (AI) to develop autonomous systems for monitoring and enhancing agricultural landscapes. My work sits at the intersection of technology and ecology, aiming to drive biodiversity conservation and ecosystem restoration through innovative, data-driven solutions. With an interdisciplinary background spanning AI, Field Robotics, Biodiversity, and Digital Agriculture, I strive to bridge technological innovation and ecological sustainability to advance digitally enabled, sustainable agriculture.