Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Crop phenotyping"'
Autor:
Filacek Andrej, Zivcak Marek, Barboricova Maria, Kovar Marek, Halabuk Andrej, Gerhatova Katarina, Yang Xinghong, Hauptvogel Pavol, Brestic Marian
Publikováno v:
Open Life Sciences, Vol 19, Iss 1, Pp 100738-9 (2024)
Multispectral devices have a huge potential to be utilized in biological, ecological, and agricultural studies, providing valuable information on plant structure and chemical composition. The aim of the study was to assess the reliability and sensiti
Externí odkaz:
https://doaj.org/article/cd128c5bc90d4065a17aefb60aff91b2
Publikováno v:
In Chemical Engineering Journal 1 February 2025 505
Autor:
Yang, Yucun a, c, Liu, Xinran a, c, Zhao, Yuqing a, c, Tang, Gaijuan b, Nan, Rui a, c, Zhang, Yuzhen a, c, Sun, Fengli a, c, Xi, Yajun a, c, Zhang, Chao a, c, ⁎
Publikováno v:
In Plant Physiology and Biochemistry February 2025 219
Publikováno v:
Plant Stress, Vol 12, Iss , Pp 100464- (2024)
Water stress is a significant challenge for global food production. Rainfall pattern is becoming unpredictable due to climate change that causes unprecedent water stress conditions in cereals production including wheat which is one of the important s
Externí odkaz:
https://doaj.org/article/77fba6d81f674b9bbc00271be30b98a6
Publikováno v:
Artificial Intelligence in Agriculture, Vol 9, Iss , Pp 76-88 (2023)
Deep learning and computer vision techniques have gained significant attention in the agriculture sector due to their non-destructive and contactless features. These techniques are also being integrated into modern farming systems, such as aquaponics
Externí odkaz:
https://doaj.org/article/8cfe093a02514bc4bb2d76ee318e4072
Autor:
Jing Zhou, Mingren Cui, Yushan Wu, Yudi Gao, Yijia Tang, Bowen Jiang, Min Wu, Jian Zhang, Lixin Hou
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Stem diameter is a critical phenotypic parameter for maize, integral to yield prediction and lodging resistance assessment. Traditionally, the quantification of this parameter through manual measurement has been the norm, notwithstanding its tedious
Externí odkaz:
https://doaj.org/article/66a7839d1ae249ef92309a8185068ec4
Autor:
Jeffrey Siegfried, Nithya Rajan, Curtis B. Adams, Haly Neely, Steve Hague, Robert Hardin, Ronnie Schnell, Xiongzhe Han, Alex Thomasson
Publikováno v:
Smart Agricultural Technology, Vol 7, Iss , Pp 100393- (2024)
Canopy temperature in cotton (Gossypium hirsutum) and other crops is related to crop and soil water status. Multiple approaches have been used to measure canopy temperature, depending on the application of the data and available technology. Recent te
Externí odkaz:
https://doaj.org/article/fedc77eb490b4ea2a3ad9bc9ae77c8b4
Autor:
Takashi Sonam Tashi Tanaka, Sheng Wang, Johannes Ravn Jørgensen, Marco Gentili, Armelle Zaragüeta Vidal, Anders Krogh Mortensen, Bharat Sharma Acharya, Brittany Deanna Beck, René Gislum
Publikováno v:
Drones, Vol 8, Iss 6, p 212 (2024)
The phenotyping of field crops quantifies a plant’s structural and physiological characteristics to facilitate crop breeding. High-throughput unmanned aerial vehicle (UAV)-based remote sensing platforms have been extensively researched as replaceme
Externí odkaz:
https://doaj.org/article/8756d4b14de8403ab7c39781aa2689af
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/3f260811cb0a43aab281f634bbb1047b
Autor:
Gattu Priyanka, Sunita Choudhary, Krithika Anbazhagan, Dharavath Naresh, Rekha Baddam, Jan Jarolimek, Yogesh Parnandi, P. Rajalakshmi, Jana Kholova
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 9, Iss , Pp 100042- (2023)
The Unmanned aerial vehicles (UAVs) - based imaging is being intensively explored for precise crop evaluation. Various optical sensors, such as RGB, multi-spectral, and hyper-spectral cameras, can be used for this purpose. Consistent image quality is
Externí odkaz:
https://doaj.org/article/ffa34adf36754cc0b141899421ee99ce