Results 21 to 30 of about 2,516,713 (283)

Editorial: Plant Phenotyping and Phenomics for Plant Breeding [PDF]

open access: yesFrontiers in Plant Science, 2017
A major challenge for food production in the coming decades is to meet the food demands of a growing population (Beddington, 2010). The difficulty of expanding agricultural land, along with the effect of climate change and the increase in world population are the current societal changes that make necessary to accelerate research to improve yield ...
Lobos, Gustavo A   +5 more
openaire   +6 more sources

UAS-Based Plant Phenotyping for Research and Breeding Applications

open access: yesPlant Phenomics, 2021
Unmanned aircraft system (UAS) is a particularly powerful tool for plant phenotyping, due to reasonable cost of procurement and deployment, ease and flexibility for control and operation, ability to reconfigure sensor payloads to diversify sensing, and ...
Wei Guo   +7 more
doaj   +1 more source

A Synthetic Review of Various Dimensions of Non-Destructive Plant Stress Phenotyping

open access: yesPlants, 2023
Non-destructive plant stress phenotyping begins with traditional one-dimensional (1D) spectroscopy, followed by two-dimensional (2D) imaging, three-dimensional (3D) or even temporal-three-dimensional (T-3D), spectral-three-dimensional (S-3D), and ...
Dapeng Ye   +5 more
doaj   +1 more source

Doing More With Less: A Multitask Deep Learning Approach in Plant Phenotyping [PDF]

open access: yes, 2020
Image-based plant phenotyping has been steadily growing and this has steeply increased the need for more efficient image analysis techniques capable of evaluating multiple plant traits. Deep learning has shown its potential in a multitude of visual tasks
Tsaftaris, Sotirios A   +2 more
core   +1 more source

Cloud architecture for plant phenotyping research [PDF]

open access: yesConcurrency and Computation: Practice and Experience, 2020
SummaryDigital phenotyping is an emergent science mainly based on imagery techniques. The tremendous amount of data generated needs important cloud computing for their processing. The coupling of recent advance of distributed databases and cloud computing offers new possibilities of big data management and data sharing for the scientific research.
Debauche, Olivier   +5 more
openaire   +2 more sources

Adaptive Transfer Learning for Plant Phenotyping

open access: yesCoRR, 2022
Plant phenotyping (Guo et al. 2021; Pieruschka et al. 2019) focuses on studying the diverse traits of plants related to the plants' growth. To be more specific, by accurately measuring the plant's anatomical, ontogenetical, physiological and biochemical properties, it allows identifying the crucial factors of plants' growth in different environments ...
Wu, Jun   +4 more
openaire   +4 more sources

Predicting Plant Growth from Time-Series Data Using Deep Learning

open access: yesRemote Sensing, 2021
Phenotyping involves the quantitative assessment of the anatomical, biochemical, and physiological plant traits. Natural plant growth cycles can be extremely slow, hindering the experimental processes of phenotyping.
Robail Yasrab   +3 more
doaj   +1 more source

A Review on Sensing Technologies for High-Throughput Plant Phenotyping

open access: yesIEEE Open Journal of Instrumentation and Measurement, 2022
The current epidemic, population growth, and decreasing arable lands lead to a severe food crisis, which calls for productive and efficient agricultural methods to ensure a sustainable food supply for mankind.
Zhenyu Ma   +6 more
doaj   +1 more source

Image-based phenotyping of the mature arabidopsis shoot system

open access: yes, 2014
The image-based phenotyping of mature plants faces several challenges from the image acquisition to the determination of quanti- tative characteristics describing their appearance.
Haxhimusa, Yll   +3 more
core   +4 more sources

Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review

open access: yesPlant Phenomics, 2020
Plant phenotyping has been recognized as a bottleneck for improving the efficiency of breeding programs, understanding plant-environment interactions, and managing agricultural systems.
Yu Jiang, Changying Li
doaj   +1 more source

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