Performance of vegetation indices to estimate green biomass accumulation in Common Bean

TOC Barboza, M Ardigueri, GFC Souza, MAJ Ferraz… - AgriEngineering, 2023 - mdpi.com
Remote sensing technology applied to agricultural crops has emerged as an efficient tool to
speed up the data acquisition process in decision-making. In this study, we aimed to …

High-throughput phenotyping of soybean biomass: Conventional trait estimation and novel latent feature extraction using UAV remote sensing and deep learning …

M Okada, C Barras, Y Toda, K Hamazaki… - Plant …, 2024 - spj.science.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 …

[HTML][HTML] Random regression for modeling soybean plant response to irrigation changes using time-series multispectral data

K Sakurai, Y Toda, K Hamazaki, Y Ohmori… - Frontiers in Plant …, 2023 - frontiersin.org
Plant response to drought is an important yield-related trait under abiotic stress, but the
method for measuring and modeling plant responses in a time series has not been fully …

[HTML][HTML] Advancing soybean biomass estimation through multi-source UAV data fusion and machine learning algorithms

H Da, Y Li, L Xu, S Wang, L Hu, Z Hu, Q Wei… - Smart Agricultural …, 2025 - Elsevier
Technological advances in unmanned aerial vehicle (UAV) systems offer significant
potential for the rapid and efficient monitoring of soybean aboveground biomass (AGB) in …

Optimizing wheat crop performance: Genomic and phenomic insights into yield and days to maturity prediction using multi‐temporal UAV imagery

S Shafiee, OA Montesinos‐López… - The Plant Phenome …, 2024 - Wiley Online Library
This study assesses strategies for utilizing multispectral imaging data (from flowering to
maturity) to predict late‐season traits in the Norwegian wheat breeding program, comparing …

Multispectral-derived genotypic similarities from budget cameras allow grain yield prediction and genomic selection augmentation in single and multi-environment …

T Mróz, S Shafiee, J Crossa, OA Montesinos-Lopez… - Molecular …, 2024 - Springer
With abundant available genomic data, genomic selection has become routine in many
plant breeding programs. Multispectral data captured by UAVs showed potential for grain …

Modeling soybean growth: A mixed model approach

M Delattre, Y Toda, J Tressou… - PLOS Computational …, 2024 - journals.plos.org
The evaluation of plant and animal growth, separately for genetic and environmental effects,
is necessary for genetic understanding and genetic improvement of environmental …

Spatio-temporal modeling of high-throughput multispectral aerial images improves agronomic trait genomic prediction in hybrid maize

N Morales, MT Anche, NS Kaczmar, N Lepak, P Ni… - Genetics, 2024 - academic.oup.com
Abstract Design randomizations and spatial corrections have increased understanding of
genotypic, spatial, and residual effects in field experiments, but precisely measuring spatial …

Evaluating drought tolerance stability in soybean by the response of irrigation change captured from time-series multispectral data

K Sakurai, Y Toda, K Hamazaki, Y Ohmori, Y Yamasaki… - bioRxiv, 2023 - biorxiv.org
This study investigated a method to evaluate the drought tolerance stability of a genotype in
a single environmental trial by capturing the plant response to irrigation changes. Genotypes …

I-SVVS: Integrative stochastic variational variable selection to explore joint patterns of multi-omics microbiome data

T Dang, Y Fuji, K Kumaishi, E Usui, S Kobori, T Sato… - 2024 - researchsquare.com
High-dimensional multi-omics microbiome data plays an important role in elucidating
microbial communities' interactions with their hosts and environment in critical diseases and …