Results 31 to 40 of about 9,180 (200)

Hybrid kernels integrating genomic and multispectral data improve wheat genomic prediction accuracy. [PDF]

open access: yesPlant Genome
Abstract Genomic selection (GS) is transforming plant breeding by enabling more accurate and efficient identification of superior genotypes. However, its practical implementation remains challenging, as achieving high prediction accuracy is critical for its success. Several factors—including sample size, the degree of relatedness among individuals, and
Montesinos-López OA   +8 more
europepmc   +2 more sources

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

open access: yesSensors, 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   +3 more
doaj   +1 more source

The Development of Hyperspectral Distribution Maps to Predict the Content and Distribution of Nitrogen and Water in Wheat (Triticum aestivum)

open access: yesFrontiers in Plant Science, 2019
Quantifying plant water content and nitrogen levels and determining water and nitrogen phenotypes is important for crop management and achieving optimal yield and quality.
Brooke Bruning   +5 more
doaj   +1 more source

Advances in Phenomics and its Application in Crop Research

open access: yesGuangdong nongye kexue, 2022
Phenomics refers to the systematic study at the genomic level of all the phenotypes of an organism or cell under a variety of different environmental conditions.
Chaoyang PAN   +8 more
doaj   +1 more source

Sensing as a Service Model for Smart Cities Supported by Internet of Things [PDF]

open access: yes, 2013
The world population is growing at a rapid pace. Towns and cities are accommodating half of the world's population thereby creating tremendous pressure on every aspect of urban living.
Akyildiz   +17 more
core   +1 more source

Personal Food Computer: A new device for controlled-environment agriculture [PDF]

open access: yes, 2017
Due to their interdisciplinary nature, devices for controlled-environment agriculture have the possibility to turn into ideal tools not only to conduct research on plant phenology but also to create curricula in a wide range of disciplines.
Brander, Gordon   +6 more
core   +2 more sources

Detecting spikes of wheat plants using neural networks with Laws texture energy

open access: yesPlant Methods, 2017
Background The spike of a cereal plant is the grain-bearing organ whose physical characteristics are proxy measures of grain yield. The ability to detect and characterise spikes from 2D images of cereal plants, such as wheat, therefore provides vital ...
Li Qiongyan   +4 more
doaj   +1 more source

DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field

open access: yesPlant Methods, 2020
Background Flowering is one of the most important processes for flowering plants such as cotton, reflecting the transition from vegetative to reproductive growth and is of central importance to crop yield and adaptability.
Yu Jiang   +5 more
doaj   +1 more source

Genomic and phenomic screens for flower related RING type ubiquitin E3 ligases in Arabidopsis [PDF]

open access: yes, 2017
Flowering time control integrates endogenous as well as environmental signals to promote flower development. The pathways and molecular networks involved are complex and integrate many modes of signal transduction.
Bilicka, Marcelina Marta   +5 more
core   +1 more source

Opportunities and limitations of crop phenotyping in southern european countries [PDF]

open access: yes, 2019
ReviewThe Mediterranean climate is characterized by hot dry summers and frequent droughts. Mediterranean crops are frequently subjected to high evapotranspiration demands, soil water deficits, high temperatures, and photo-oxidative stress.
Baris Uzilday   +11 more
core   +3 more sources

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