Deep learning in image-based plant phenotyping
KM Murphy, E Ludwig, J Gutierrez… - Annual Review of Plant …, 2024 - annualreviews.org
A major bottleneck in the crop improvement pipeline is our ability to phenotype crops quickly
and efficiently. Image-based, high-throughput phenotyping has a number of advantages …
and efficiently. Image-based, high-throughput phenotyping has a number of advantages …
Focusing the GWAS Lens on days to flower using latent variable phenotypes derived from global multienvironment trials
Adaptation constraints within crop species have resulted in limited genetic diversity in some
breeding programs and areas where new crops have been introduced, for example, for lentil …
breeding programs and areas where new crops have been introduced, for example, for lentil …
SG× P: a sorghum genotype× phenotype prediction dataset and benchmark
Large scale field-phenotyping approaches have the potential to solve important questions
about the relationship of plant genotype to plant phenotype. Computational approaches to …
about the relationship of plant genotype to plant phenotype. Computational approaches to …
Yield prediction in a peanut breeding program using remote sensing data and machine learning algorithms
Peanut is a critical food crop worldwide, and the development of high-throughput
phenotyping techniques is essential for enhancing the crop's genetic gain rate. Given the …
phenotyping techniques is essential for enhancing the crop's genetic gain rate. Given the …
SpykProps: an imaging pipeline to quantify architecture in unilateral grass inflorescences
Background Inflorescence properties such length, spikelet number, and their spatial
distribution across the rachis, are fundamental indicators of seed productivity in grasses and …
distribution across the rachis, are fundamental indicators of seed productivity in grasses and …
Lincoln's Annotated Spatio-Temporal Strawberry Dataset (LAST-Straw)
KMF James, K Heiwolt, DJ Sargent… - arXiv preprint arXiv …, 2024 - arxiv.org
Automated phenotyping of plants for breeding and plant studies promises to provide
quantitative metrics on plant traits at a previously unattainable observation frequency …
quantitative metrics on plant traits at a previously unattainable observation frequency …
Spatio-temporal modeling of high-throughput multispectral aerial images improves agronomic trait genomic prediction in hybrid maize
Abstract Design randomizations and spatial corrections have increased understanding of
genotypic, spatial, and residual effects in field experiments, but precisely measuring spatial …
genotypic, spatial, and residual effects in field experiments, but precisely measuring spatial …
High-throughput Phenotyping of Soybean Biomass: Conventional Trait Estimation and Novel Latent Feature Extraction Using UAV Remote Sensing and Deep …
M Okada, C Barras, Y Toda, K Hamazaki, Y Ohmori… - bioRxiv, 2024 - biorxiv.org
High throughput phenotyping serves as a framework to reduce chronological costs and
accelerate breeding cycles. In this study, we developed models to estimate the phenotypes …
accelerate breeding cycles. In this study, we developed models to estimate the phenotypes …
Uncovering hidden phenotypes to accelerate domestication in perennial Ryegrass for seed production
J Barreto Ortiz - 2022 - conservancy.umn.edu
Seed dispersion, shattering, shedding, and lack of retention, all refer to the same dispersal
mechanism in which reproductive organs detach from plant inflorescences upon maturity …
mechanism in which reproductive organs detach from plant inflorescences upon maturity …
[图书][B] Deep Learning for Large Scale Plant Phenotyping
Z Zhang - 2024 - search.proquest.com
Crop breeding needs phenotyping to assess the physical and biochemical characteristics of
plants and identify desirable traits for selection. Traditional techniques for evaluating plant …
plants and identify desirable traits for selection. Traditional techniques for evaluating plant …