Results 41 to 50 of about 4,964 (232)

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

Indoor phenotyping platforms and associated trait measurement: Progress and prospects

open access: yes智慧农业, 2020
Plant phenomics is under rapid development in recent years, a research field that is progressing towards integration, scalability, multi-perspectivity and high-throughput analysis.
Xu Lingxiang   +6 more
doaj   +1 more source

Advances in plant phenomics: From data and algorithms to biological insights [PDF]

open access: yesAppl Plant Sci, 2020
The measurement of the characteristics of living organisms is referred to as phenotyping (Singh et al., 2016). While the use of phenotyping in plant biology and genetics can be traced back at least to Gregor Mendel sorting and counting peas by shape and ...
Kenchanmane Raju S   +2 more
europepmc   +2 more sources

Plant photosynthesis phenomics data quality control [PDF]

open access: yesBioinformatics, 2015
AbstractMotivation: Plant phenomics, the collection of large-scale plant phenotype data, is growing exponentially. The resources have become essential component of modern plant science. Such complex datasets are critical for understanding the mechanisms governing energy intake and storage in plants, and this is essential for improving crop productivity.
Lei Xu   +4 more
openaire   +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

POEAS: Automated Plant Phenomic Analysis Using Plant Ontology [PDF]

open access: yesBioinformatics and Biology Insights, 2014
Biological enrichment analysis using gene ontology (GO) provides a global overview of the functional role of genes or proteins identified from large-scale genomic or proteomic experiments. Phenomic enrichment analysis of gene lists can provide an important layer of information as well as cellular components, molecular functions, and biological ...
Khader Shameer   +3 more
openaire   +4 more sources

Multiscale plant modeling: from genome to phenome and beyond [PDF]

open access: yesEmerging Topics in Life Sciences, 2021
Plants are complex organisms that adapt to changes in their environment using an array of regulatory mechanisms that span across multiple levels of biological organization. Due to this complexity, it is difficult to predict emergent properties using conventional approaches that focus on single levels of biology such as the genome, transcriptome, or ...
Megan L. Matthews, Amy Marshall-Colón
openaire   +2 more sources

Plant phenomics: history, present status and challenges [PDF]

open access: yes, 2018
With the development of remote sensing, robotics, computer vision and artificial intelligence, plant phenomics research has been developing rapidly in recent years.
Tardieu, Francois   +11 more
core   +1 more source

Data_Sheet_1_WinRoots: A High-Throughput Cultivation and Phenotyping System for Plant Phenomics Studies Under Soil Stress.docx [PDF]

open access: yes, 2022
Soil stress, such as salinity, is a primary cause of global crop yield reduction. Existing crop phenotyping platforms cannot fully meet the specific needs of phenomics studies of plant response to soil stress in terms of throughput, environmental ...
Yangyang Zhang (608493)   +12 more
core   +1 more source

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