Aufsätze in referierten Fachzeitschriften
- Vogel, S.; Conedera, M. (2020): Effects of land use-induced vegetation and topography changes on soil chemistry in the Southern Alps (Ticino, Switzerland). Plant, Soil and Environment (PSE). (2): p. 73-80. Online: https://doi.org/10.17221/633/2019-PSE 1.0
- Penzel, M.; Lakso, A.; Tsoulias, N.; Zude-Sasse, M. (2020): Carbon consumption of developing fruit and the fruit bearing capacity of individual RoHo 3615 and Pinova apple trees. International Agrophysics. (4/2020): p. 409-423. Online: https://doi.org/10.31545/intagr/127540 1.0
- Yang, N.; Zhang, Y.; Liu, Y.; Chen, Q.; Wang, H.; Guo, X.; Herppich, W.; Tang, Z. (2020): Network during light-induced cotyledons opening and greening in Astragalus membranaceus. Journal of Plant Interactions. (1): p. 358-370. Online: https://doi.org/10.1080/17429145.2020.1831088 1.0
- Gorjian, S.; Calise, F.; Kant, K.; Ahamed, M.; Copertaro, B.; Najafi, G.; Zhang, X.; Aghaei, M.; Shamshiri, R. (2020): A review on opportunities for implementation of solar energy technologies in agricultural greenhouses. Journal of Cleaner Production. : p. 124807. Online: https://doi.org/10.1016/j.jclepro.2020.124807 1.0
- Sturm, B.; Nasirahmadi, A.; Müller, S.; Kulig, B. (2020): Smart Livestock Farming - Eine Bestandsaufnahme. Züchtungskunde. (6): p. 433-450. Online: https://www.zuechtungskunde.de/Archiv/Smart-Livestock-Farming-Eine-Bestandsaufnahme,QUlEPTY3MjgwMzMmTUlEPTY5MTU4.html?UID=E54BFF8EEEB80436FFA239BEB021FE6B87962E73D67365 1.0
- Bönecke, E.; Meyer, S.; Vogel, S.; Schröter, I.; Gebbers, R.; Kling, C.; Kramer, E.; Lück, K.; Nagel, A.; Philipp, G.; Gerlach, F.; Palme, S.; Scheibe, D.; Zieger, K.; Rühlmann, J. (2020): Guidelines for precise lime management based on high-resolution soil pH, texture and SOM maps generated from proximal soil sensing data. Precision Agriculture. : p. 1-31. Online: https://doi.org/10.1007/s11119-020-09766-8 1.0
- Rezvani, S.; Abyaneh, H.; Shamshiri, R.; Balasundram, S.; Dworak, V.; Goodarzi, M.; Sultan, M.; Mahns, B. (2020): IoT-Based Sensor Data Fusion for Determining Optimality Degrees of Microclimate Parameters in Commercial Greenhouse Production of Tomato. Sensors. (22): p. 1-32. Online: https://doi.org/10.3390/s20226474 1.0
- Sturm, B.; Raut, S.; Kirchhofer, P.; Müller, S.; Nasirahmadi, A. (2020): Combining sensors for better climate control. Pig Progress. : p. 0. Online: https://www.pigprogress.net/Home/General/2020/11/Combining-sensors-for-better-climate-control-661447E/ 1.0
- Aslam, A.; Ibrahim, M.; Shahid, I.; Mahmood, A.; Irshad, M.; Yamin, M.; Ghazala; Tariq, M.; Shamshiri, R. (2020): Pollution Characteristics of Particulate Matter (PM2.5 and PM10) and Constituent Carbonaceous Aerosols in a South Asian Future Megacity. Applied Sciences. (24): p. 1-17. Online: https://doi.org/10.3390/app10248864 1.0
- Saha, K.; Tsoulias, N.; Zude-Sasse, M. (2020): Assessment of measurement uncertainty when using 2D mobile laser scanner to estimate tree parameters. Landtechnik - Agricultural Engineering. (4): p. 270-277. Online: https://doi.org/10.15150/lt.2020.3251 1.0