Results 31 to 40 of about 4,964 (232)

Sensor-based phenotyping of above-ground plant-pathogen interactions

Plant Methods, 2022
Plant pathogens cause yield losses in crops worldwide. Breeding for improved disease resistance and management by precision agriculture are two approaches to limit such yield losses.
Florian Tanner, Sebastian Tonn, Jos de Wit, Guido Van den Ackerveken, Bettina Berger, Darren Plett   +5 more
doaj   +1 more source

Development of an Image Analysis Pipeline to Estimate Sphagnum Colony Density in the Field

Plants, 2021
Sphagnum peatmosses play an important part in water table management of many peatland ecosystems. Keeping the ecosystem saturated, they slow the breakdown of organic matter and release of greenhouse gases, facilitating peatland’s function as a carbon ...
Willem Q. M. van de Koot, Larissa J. J. van Vliet, Weilun Chen, John H. Doonan, Candida Nibau   +4 more
doaj   +1 more source

Proximal Remote Sensing Buggies and Potential Applications for Field-Based Phenotyping

Agronomy, 2014
The achievements made in genomic technology in recent decades are yet to be matched by fast and accurate crop phenotyping methods. Such crop phenotyping methods are required for crop improvement efforts to meet expected demand for food and fibre in the ...
David Deery, Jose Jimenez-Berni, Hamlyn Jones, Xavier Sirault, Robert Furbank   +4 more
doaj   +1 more source

Deep Segmentation of Point Clouds of Wheat

Frontiers in Plant Science, 2021
The 3D analysis of plants has become increasingly effective in modeling the relative structure of organs and other traits of interest. In this paper, we introduce a novel pattern-based deep neural network, Pattern-Net, for segmentation of point clouds of
Morteza Ghahremani, Morteza Ghahremani, Kevin Williams, Fiona M. K. Corke, Bernard Tiddeman, Yonghuai Liu, John H. Doonan   +6 more
doaj   +1 more source

Detecting Crown Rot Disease in Wheat in Controlled Environment Conditions Using Digital Color Imaging and Machine Learning

AgriEngineering, 2022
Crown rot is one of the major stubble soil fungal diseases that bring significant yield loss to the cereal industry. The most effective crown rot management approach is removal of infected crop residue from fields and rotation of nonhost crops.
Yiting Xie, Darren Plett, Huajian Liu
doaj   +1 more source

Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography

Plant Methods, 2017
Background Wheat is one of the most widely grown crop in temperate climates for food and animal feed. In order to meet the demands of the predicted population increase in an ever-changing climate, wheat production needs to dramatically increase.
Nathan Hughes, Karen Askew, Callum P. Scotson, Kevin Williams, Colin Sauze, Fiona Corke, John H. Doonan, Candida Nibau   +7 more
doaj   +1 more source

The Promise of Hyperspectral Imaging for the Early Detection of Crown Rot in Wheat

AgriEngineering, 2021
Crown rot disease is caused by Fusarium pseudograminearum and is one of the major stubble-soil fungal diseases threatening the cereal industry globally. It causes failure of grain establishment, which brings significant yield loss.
Yiting Xie, Darren Plett, Huajian Liu
doaj   +1 more source

An ontology approach to comparative phenomics in plants [PDF]

Plant Methods, 2015
Plant phenotype datasets include many different types of data, formats, and terms from specialized vocabularies. Because these datasets were designed for different audiences, they frequently contain language and details tailored to investigators with different research objectives and backgrounds. Although phenotype comparisons across datasets have long
Oellrich, Anika, Walls, Ramona L, Cannon, Ethalinda KS, Cannon, Steven B, Cooper, Laurel, Gardiner, Jack, Gkoutos, Georgios V, Harper, Lisa, He, Mingze, Hoehndorf, Robert, Jaiswal, Pankaj, Kalberer, Scott R, Lloyd, John P, Meinke, David, Menda, Naama, Moore, Laura, Nelson, Rex T, Pujar, Anuradha, Lawrence, Carolyn J, Huala, Eva   +19 more
openaire   +3 more sources

The Performances of Hyperspectral Sensors for Proximal Sensing of Nitrogen Levels in Wheat

Sensors, 2020
The accurate and high throughput quantification of nitrogen (N) content in wheat using non-destructive methods is an important step towards identifying wheat lines with high nitrogen use efficiency and informing agronomic management practices.
Huajian Liu, Brooke Bruning, Trevor Garnett, Bettina Berger   +3 more
doaj   +1 more source

Genetic Regulation of Mitosis–Meiosis Fate Decision in Plants: Is Callose an Oversighted Polysaccharide in These Processes?

Plants, 2023
Timely progression of the meiotic cell cycle and synchronized establishment of male meiosis in anthers are key to ascertaining plant fertility. With the discovery of novel regulators of the plant cell cycle, the mechanisms underlying meiosis initiation ...
Harsha Somashekar, Ken-Ichi Nonomura
doaj   +1 more source