Material and energetic use of biomass

Aufsätze in referierten Fachzeitschriften [6 Results]

• Hobart, M.; Schirrmann, M.; Abubakari, A.; Badu-Marfo, G.; Kraatz, S.; Zare, M. (2024): Drought Monitoring and Prediction in Agriculture: Employing Earth Observation Data, Climate Scenarios and Data Driven Methods; a Case Study: Mango Orchard in Tamale, Ghana. Remote Sensing. (11): p. 1942. Online: https://www.mdpi.com/2072-4292/16/11/1942
• Salamut, C.; Kohnert, I.; Landwehr, N.; Pflanz, M.; Schirrmann, M.; Zare, M. (2023): Deep Learning Object Detection for Image Analysis of Cherry Fruit Fly (Rhagoletis cerasi L.) on Yellow Sticky Traps. Gesunde Pflanzen. (1): p. 37-48. Online: https://doi.org/10.1007/s10343-022-00794-0
• Zare, M.; Drastig, K.; Zude-Sasse, M. (2020): Tree water status in apple orchards measured by means of land surface temperature and vegetation index (LST-NDVI) trapezoidal space derived from Landsat 8 satellite images. Sustainability. (1): p. 70. Online: https://doi.org/10.3390/su12010070
• Drastig, K.; Zare, M.; Suarez, T.; Dammer, K.; Prochnow, A. (2019): Rainfall interception of winter rapeseed in Brandenburg (Germany) under various nitrogen fertilization treatments. Agricultural and Forest Meteorology. (April): p. 308-317. Online: https://doi.org/10.1016/j.agrformet.2019.01.027
• Kraatz, S.; Libra, J.; Drastig, K.; Hunstock, U.; Zare, M.; Jacobs, H. (2019): Water use indicators at farm scale - An agro-hydrological software solution. Science of the Total Environment. (15 August 2019): p. 133-145. Online: https://doi.org/10.1016/j.scitotenv.2019.04.368
• Zare, M.; Koch, M. (2017): Groundwater level fluctuations simulation and prediction by ANFIS- and hybrid Wavelet-ANFIS/ fuzzy C-means (FCM) clustering models: Application to the Miandarband plain. Journal of Hydro-environment Research. (Feb. 18): p. 63-78. Online: https://doi.org/10.1016/j.jher.2017.11.004

Beiträge zu Sammelwerken [3 Results]

• Zare, M.; Pflanz, M.; Schirrmann, M. (2023): Introducing a smart monitoring system (PHLIP) for integrated pest management in commercial orchards. In: Yousaf, A.(eds.): Proceedings der 2022 International Conference on Engineering and Emerging Technologies (ICEET). 8th International Conference on Engineering and Emerging Technologies (ICEET 2022). IEEE Conference Operations, Piscataway, (2831-3682/978-1-6654-9106-8), p. 1-4. Online: https://doi.org/10.1109/ICEET56468.2022.10007399
• Grundmann, P.; Reyhani, N.; Libra, J.; Horlemann, L.; Kraatz, S.; Zamani, O.; Zare, M. (2020): Participatory Development of Strategies for the Transformation of Agriculture. In: Standing up to Climate Change - Creating Prospects for a Sustainable Future in Rural Iran. . Springer, Cham, (ISBN 978-3-030-50683-4; 978-3-030-50684-1), p. 265-279. Online: https://doi.org/10.1007/978-3-030-50684-1_12
• Zare, M.; Drastig, K.; Zude-Sasse, M. (2019): Estimating tree water status in apple orchard using reflectance in the thermal domain of Landsat 8 satellite. In: 2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). Metrology for Agriculture and Forestry (MetroAgriFor 2019). IEEE Xplore digital library, New York, p. 255-259. Online: https://ieeexplore.ieee.org/document/8909262

Vorträge und Poster [9 Results]

• Zare, M.; Hobart, M.; Boussadia, O.; Ben-Hamouda, A.; Chaieb, N.; Ellßel, P.; Schirrmann, M. (2023): Drought monitoring/prediction using remotely-sensed data and SSP climate change scenarios in a Tunisian olive orchard.
• Zare, M.; Hobart, M.; Abubakari, A.; Issahaku, G.; Anin-Adjei, E.; Badu-Marfo, G.; Schirrmann, M. (2023): Drought monitoring and prediction for mango orchard in Tamale, Ghana with earth observation data and SSP climate scenarios.
• Zare, M.; Pflanz, M.; Schirrmann, M. (2022): Introducing a smart monitoring system (PHLIP) for integrated pest management in commercial orchards.
• Salamat, C.; Zare, M.; Kohnert, I.; Landwehr, N.; Pflanz, M.; Schirrmann, M. (2022): Deep learning for detecting cherry fruit flies in yellow sticky traps images.
• Shamshiri, R.; Balasundram, S.; Zare, M. (2022): Digital Twin for Controlled Environment Production Systems.
• Zare, M.; Drastig, K.; Zude-Sasse, M. (2019): Tree water status in apple orchard using reflectance in the thermal domain of Landsat 8 satellite.
• Zare, M.; Tsoulias, N.; Drastig, K.; Zude-Sasse, M. (2019): Computation of crop evapotranspiration (ETc) in apple orchards, using FAO-PM and satellite-estimated crop coefficients.
• Hunstock, U.; Libra, J.; Zare, M.; Kraatz, S.; Grundmann, P.; Zamani, O.; Reyhani, N. (2018): AgroHyd Farmmodel: Estimation of the effects of the agricultural transformation strategies.
• Grundmann, P.; Kraatz, S.; Zare, M.; Libra, J.; Reyhani, N.; Zamani, O.; Hunstock, U.; Jacobs, H. (2018): Transformation in der Landwirtschaft.