[HTML][HTML] Convolutional neural networks for image-based high-throughput plant phenotyping: a review

Y Jiang, C Li - Plant Phenomics, 2020 - spj.science.org
Plant phenotyping has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …

Machine learning in plant science and plant breeding

ADJ van Dijk, G Kootstra, W Kruijer, D de Ridder - Iscience, 2021 - cell.com
Technological developments have revolutionized measurements on plant genotypes and
phenotypes, leading to routine production of large, complex data sets. This has led to …

Robotic technologies for high-throughput plant phenotyping: Contemporary reviews and future perspectives

A Atefi, Y Ge, S Pitla, J Schnable - Frontiers in plant science, 2021 - frontiersin.org
Phenotyping plants is an essential component of any effort to develop new crop varieties. As
plant breeders seek to increase crop productivity and produce more food for the future, the …

High-throughput field crop phenotyping: current status and challenges

S Ninomiya - Breeding Science, 2022 - jstage.jst.go.jp
In contrast to the rapid advances made in plant genotyping, plant phenotyping is considered
a bottleneck in plant science. This has promoted high-throughput plant phenotyping (HTP) …

Hyperspectral reflectance-based phenotyping for quantitative genetics in crops: progress and challenges

M Grzybowski, NK Wijewardane, A Atefi, Y Ge… - Plant …, 2021 - cell.com
Many biochemical and physiological properties of plants that are of interest to breeders and
geneticists have extremely low throughput and/or can only be measured destructively. This …

Data-driven approaches to improve water-use efficiency and drought resistance in crop plants

N Sharma, H Raman, D Wheeler, Y Kalenahalli… - Plant Science, 2023 - Elsevier
With the increasing population, there lies a pressing demand for food, feed and fibre, while
the changing climatic conditions pose severe challenges for agricultural production …

High throughput can produce better decisions than high accuracy when phenotyping plant populations

HM Lane, SC Murray - Crop science, 2021 - Wiley Online Library
Studies assessing phenotypes of plant populations traditionally place their primary focus on
increasing measurement precision and improving accuracy. Phenotyping methods that use …

Multi-dimensional machine learning approaches for fruit shape phenotyping in strawberry

MJ Feldmann, MA Hardigan, RA Famula… - …, 2020 - academic.oup.com
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 phenotyping …

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 …

Explainable deep learning in plant phenotyping

S Mostafa, D Mondal, K Panjvani, L Kochian… - Frontiers in Artificial …, 2023 - frontiersin.org
The increasing human population and variable weather conditions, due to climate change,
pose a threat to the world's food security. To improve global food security, we need to …