Evaluation of hemp seedling size using ImageJ software
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
In vitro hemp seed germination is crucial for investigating factors impacting production conditions. It is laborious and time-consuming to measure and evaluate the morphological traits of seedlings grown in vitro. One of the most well-known machine vision techniques is image processing, which offers detailed information and more reliability and accuracy than traditional counting and visual determination of seedlings. The study aimed to determine if hypocotyl images obtained with semi-automatic processing through SmartRoot could be replaced with faster, automatic processing. Seedlings were scanned in RGB color profile in 300 dpi, using an open lid flatbed scanner HP Scanjet G4050. The images were processed in ImageJ software.
Кључне речи:
hemp / seedling size / ImageJ software / seedlings / SmartRoot / image processing / hypocotyl / length / diameterИзвор:
Book of Abstracts, Digital Technologies in Agriculture (ISDTA and DIGITAGRA), Osijek, 6-8 December 2022, 2022, 12-12Издавач:
- Osijek : Josip Juraj Strossmayer University, Faculty of Agrobiotechnical Sciences
Колекције
Институција/група
FiVeRTY - CONF AU - Dunđerski, Dušan AU - Varga, Ivana AU - Iljkić, Dario AU - Užar, Dubravka PY - 2022 UR - http://fiver.ifvcns.rs/handle/123456789/3825 AB - In vitro hemp seed germination is crucial for investigating factors impacting production conditions. It is laborious and time-consuming to measure and evaluate the morphological traits of seedlings grown in vitro. One of the most well-known machine vision techniques is image processing, which offers detailed information and more reliability and accuracy than traditional counting and visual determination of seedlings. The study aimed to determine if hypocotyl images obtained with semi-automatic processing through SmartRoot could be replaced with faster, automatic processing. Seedlings were scanned in RGB color profile in 300 dpi, using an open lid flatbed scanner HP Scanjet G4050. The images were processed in ImageJ software. PB - Osijek : Josip Juraj Strossmayer University, Faculty of Agrobiotechnical Sciences C3 - Book of Abstracts, Digital Technologies in Agriculture (ISDTA and DIGITAGRA), Osijek, 6-8 December 2022 T1 - Evaluation of hemp seedling size using ImageJ software EP - 12 SP - 12 UR - https://hdl.handle.net/21.15107/rcub_fiver_3825 ER -
@conference{ author = "Dunđerski, Dušan and Varga, Ivana and Iljkić, Dario and Užar, Dubravka", year = "2022", abstract = "In vitro hemp seed germination is crucial for investigating factors impacting production conditions. It is laborious and time-consuming to measure and evaluate the morphological traits of seedlings grown in vitro. One of the most well-known machine vision techniques is image processing, which offers detailed information and more reliability and accuracy than traditional counting and visual determination of seedlings. The study aimed to determine if hypocotyl images obtained with semi-automatic processing through SmartRoot could be replaced with faster, automatic processing. Seedlings were scanned in RGB color profile in 300 dpi, using an open lid flatbed scanner HP Scanjet G4050. The images were processed in ImageJ software.", publisher = "Osijek : Josip Juraj Strossmayer University, Faculty of Agrobiotechnical Sciences", journal = "Book of Abstracts, Digital Technologies in Agriculture (ISDTA and DIGITAGRA), Osijek, 6-8 December 2022", title = "Evaluation of hemp seedling size using ImageJ software", pages = "12-12", url = "https://hdl.handle.net/21.15107/rcub_fiver_3825" }
Dunđerski, D., Varga, I., Iljkić, D.,& Užar, D.. (2022). Evaluation of hemp seedling size using ImageJ software. in Book of Abstracts, Digital Technologies in Agriculture (ISDTA and DIGITAGRA), Osijek, 6-8 December 2022 Osijek : Josip Juraj Strossmayer University, Faculty of Agrobiotechnical Sciences., 12-12. https://hdl.handle.net/21.15107/rcub_fiver_3825
Dunđerski D, Varga I, Iljkić D, Užar D. Evaluation of hemp seedling size using ImageJ software. in Book of Abstracts, Digital Technologies in Agriculture (ISDTA and DIGITAGRA), Osijek, 6-8 December 2022. 2022;:12-12. https://hdl.handle.net/21.15107/rcub_fiver_3825 .
Dunđerski, Dušan, Varga, Ivana, Iljkić, Dario, Užar, Dubravka, "Evaluation of hemp seedling size using ImageJ software" in Book of Abstracts, Digital Technologies in Agriculture (ISDTA and DIGITAGRA), Osijek, 6-8 December 2022 (2022):12-12, https://hdl.handle.net/21.15107/rcub_fiver_3825 .