Machine learning in plant science and plant breeding
Technological developments have revolutionized measurements on plant genotypes and
phenotypes, leading to routine production of large, complex data sets. This has led to …
phenotypes, leading to routine production of large, complex data sets. This has led to …
High-throughput field crop phenoty**: current status and challenges
S Ninomiya - Breeding Science, 2022 - jstage.jst.go.jp
In contrast to the rapid advances made in plant genoty**, plant phenoty** is considered
a bottleneck in plant science. This has promoted high-throughput plant phenoty** (HTP) …
a bottleneck in plant science. This has promoted high-throughput plant phenoty** (HTP) …
High throughput can produce better decisions than high accuracy when phenoty** plant populations
Studies assessing phenotypes of plant populations traditionally place their primary focus on
increasing measurement precision and improving accuracy. Phenoty** methods that use …
increasing measurement precision and improving accuracy. Phenoty** methods that use …
Multi-dimensional machine learning approaches for fruit shape phenoty** in strawberry
Background Shape is a critical element of the visual appeal of strawberry fruit and is
influenced by both genetic and non-genetic determinants. Current fruit phenoty** …
influenced by both genetic and non-genetic determinants. Current fruit phenoty** …
High-throughput phenoty** of soybean biomass: Conventional trait estimation and novel latent feature extraction using UAV remote sensing and deep learning …
High-throughput phenoty** 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 …
“Canopy fingerprints” for characterizing three-dimensional point cloud data of soybean canopies
Advances in imaging hardware allow high throughput capture of the detailed three-
dimensional (3D) structure of plant canopies. The point cloud data is typically post …
dimensional (3D) structure of plant canopies. The point cloud data is typically post …
Quality analysis of a high-precision kinematic laser scanning system for the use of spatio-temporal plant and organ-level phenoty** in the field
Spatio–temporal determination of phenotypic traits, such as height, leaf angles, and leaf
area, is important for the understanding of crop growth and development in modern …
area, is important for the understanding of crop growth and development in modern …
Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimates
Predicting phenotypes from a combination of genetic and environmental factors is a grand
challenge of modern biology. Slight improvements in this area have the potential to save …
challenge of modern biology. Slight improvements in this area have the potential to save …
Extraction of soybean plant trait parameters based on SfM-MVS algorithm combined with GRNN
W He, Z Ye, M Li, Y Yan, W Lu, G **ng - Frontiers in Plant Science, 2023 - frontiersin.org
Soybean is an important grain and oil crop worldwide and is rich in nutritional value.
Phenotypic morphology plays an important role in the selection and breeding of excellent …
Phenotypic morphology plays an important role in the selection and breeding of excellent …