Pendar Alirezazadeh
Articles in peer reviewed journals [4 Results]
- Alirezazadeh, P.; Schirrmann, M.; Stolzenburg, F. (2023): Improving Deep Learning-based Plant Disease Classification with Attention Mechanism. Gesunde Pflanzen. (1): p. 49-59. Online: https://doi.org/10.1007/s10343-022-00796-y
- Alirezazadeh, P.; Schirrmann, M.; Stolzenburg, F. (2023): A comparative analysis of deep learning methods for weed classification of high-resolution UAV images. Journal of Plant Diseases and Protection. : p. 1-10. Online: https://doi.org/10.1007/s41348-023-00814-9
- Tavakoli, H.; Alirezazadeh, P.; Hedayatipour, A.; Banijamali Nasib, A.; Landwehr, N. (2021): Leaf image-based classification of some common bean cultivars using discriminative convolutional neural networks. Computers and Electronics in Agriculture. (February): p. 105935. Online: https://doi.org/10.1016/j.compag.2020.105935
- Alirezazadeh, P.; Rahimi-Ajdadi, F.; Abbaspour-Gilandeh, Y.; Landwehr, N.; Tavakoli, H. (2021): Improved digital image-based assessment of soil aggregate size by applying convolutional neural networks. Computers and Electronics in Agriculture. (December): p. 106499. Online: https://doi.org/10.1016/j.compag.2021.106499
Bookchapters and proceedings [7 Results]
- ; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fritzsche, E.; Geyer, M.; Pflanz, M.; Reim, S. (2023): Development of a digital monitoring system for fire blight in fruit orchards. In: EURCARPIA 2023. XVI Eucarpia Symposium on Fruit Breeding and Genetics. Abstracts. 16th Eucarpia Symposium on Fruit Breeding and Genetics. JKI, Dresden, p. 149-0.
- Reim, S.; ; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fritzsche, E.; Geyer, M.; Pflanz, M. (2023): UAV-based digital phenotyping of European pear rust in genetic resources. In: EURCARPIA 2023. XVI Eucarpia Symposium on Fruit Breeding and Genetics. Abstracts. 16th Eucarpia Symposium on Fruit Breeding and Genetics. JKI, Dresden, p. 70-0.
- Reim, S.; ; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fritzsche, E.; Geyer, M.; Pflanz, M. (2023): Establishment of a UAV-based phenotyping method of European pear rust in fruit orchards. In: Stafford, J.(eds.): Precision Agriculture ´23, Papers presented at the 14th European Conference on Precision Agriculture. 14th European Conference on Precision Agriculture (ECPA 2023). Wageningen Academic Publishers, Wageningen, p. 611-617.
- Alirezazadeh, P.; Schirrmann, M.; Stolzenburg, F. (2023): Weed detection in winter wheat field using improved-YOLOv4 with attention module from UAV imagery. In: Stafford, J.(eds.): Precision Agriculture ´23, Papers presented at the 14th European Conference on Precision Agriculture. 14th European Conference on Precision Agriculture (ECPA 2023). Wageningen Academic Publishers, Wageningen, p. 369-376.
- ; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fritzsche, E.; Geyer, M.; Pflanz, M.; Reim, S. (2023): Development of a high-troughput monitoring system for fire blight in fruit orchards. In: Canavari, M.; Vitali, G.; Mattetti, M.(eds.): 14th European Conference on Precision Agriculture. Unleashing the potential of precision agriculture. Book of Abstracts (Posters). 14th European Conference on Precision Agriculture (ECPA 2023). Dipartimento di Scienze e Tecnologie Agro-alimentari, Bologna, p. 171-172. Online: https://www.ecpa2023.it/wp-content/uploads/2023/07/ECPA-2023-Book-of-Abstracts-Posters.pdf
- Reim, S.; ; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, E.; Geyer, M.; Pflanz, M. (2023): Development of a high-throughput phenotyping method for European pear rust using UAV-based RGB imagery. In: 55. Gartenbauwissenschaftliche Jahrestagung KI-Technologie in den Gartenbauwissenschaften - Risiken und Chancen in Wissenschaft und Praxis, Kurzfassung der Vorträge und Poster. 55. Gartenbauwissenschaftliche Jahrestagung KI-Technologie in den Gartenbauwissenschaften - Risiken und Chancen in Wissenschaft und Praxis. (1613-088X), p. 53-0. Online: https://dgg-online.org/website_neu/wp-content/uploads/2023/02/Tagungsband-55-Jahrestagung-2023.pdf
- ; Reim, S.; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fritzsche, E.; Geyer, M.; Pflanz, M. (2023): Entwicklung eines digitalen Überwachungssystems zur Erkennung der Krankheitssymptome von Feuerbrand in Obstanlagen. In: 55. Gartenbauwissenschaftliche Jahrestagung KI-Technologie in den Gartenbauwissenschaften - Risiken und Chancen in Wissenschaft und Praxis, Kurzfassung der Vorträge und Poster. 55. Gartenbauwissenschaftliche Jahrestagung KI-Technologie in den Gartenbauwissenschaften - Risiken und Chancen in Wissenschaft und Praxis. (1613-088X), p. 83-0. Online: https://dgg-online.org/website_neu/wp-content/uploads/2023/02/Tagungsband-55-Jahrestagung-2023.pdf
Orals and posters [9 Results]
- ; Reim, S.; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fritzsche, E.; Geyer, M.; Pflanz, M. (2023): Entwicklung eines digitalen Überwachungssystems zur Erkennung der Krankheitssymptome von Feuerbrand in Obstanlagen.
- Reim, S.; ; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fritzsche, E.; Geyer, M.; Pflanz, M. (2023): Development of a high-throughput phenotyping method for European pear rust using UAV-based RGB imagery.
- ; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fritzsche, E.; Geyer, M.; Pflanz, M.; Reim, S. (2023): Development of a high-troughput monitoring system for fire blight in fruit orchards.
- Alirezazadeh, P.; Schirrmann, M.; Stolzenburg, F. (2023): Weed detection in winter wheat field using improved-YOLOv4 with attention module from UAV imagery.
- Reim, S.; ; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fritzsche, E.; Geyer, M.; Pflanz, M. (2023): Establishment of a UAV-based phenotyping method of European pear rust in fruit orchards.
- ; Alirezazadeh, P.; Seidl-Schulz, J.; Leipnitz, M.; Fritzsche, E.; Geyer, M.; Pflanz, M.; Reim, S. (2023): Development of a digital monitoring system for fire blight in fruit orchards.
- Alirezazadeh, P.; Schirrmann, M. (2022): Improving deep learning-based plant disease classification with attention mechanism.
- ; Pflanz, M.; Geyer, M.; Alirezazadeh, P.; Fritzsche, E.; Reim, S.; Seidl-Schulz, J.; Leipnitz, M. (2022): Development of a digital monitoring system for fire blight in fruit orchards (MONIQUA).
- Alirezazadeh, P. (2022): An evaluation of Deep Learning Methods for Weed Classification of High Resolution UAV Images.