[HTML][HTML] The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems

J Jung, M Maeda, A Chang, M Bhandari… - Current Opinion in …, 2021 - Elsevier
Modern agriculture and food production systems are facing increasing pressures from
climate change, land and water availability, and, more recently, a pandemic. These factors …

High-throughput plant phenotyping platform (HT3P) as a novel tool for estimating agronomic traits from the lab to the field

D Li, C Quan, Z Song, X Li, G Yu, C Li… - … in Bioengineering and …, 2021 - frontiersin.org
Food scarcity, population growth, and global climate change have propelled crop yield
growth driven by high-throughput phenotyping into the era of big data. However, access to …

Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding

AW Herr, A Adak, ME Carroll, D Elango, S Kar… - Crop …, 2023 - Wiley Online Library
High‐throughput phenotyping (HTP) with unoccupied aerial systems (UAS), consisting of
unoccupied aerial vehicles (UAV; or drones) and sensor (s), is an increasingly promising …

Plant genotype to phenotype prediction using machine learning

MF Danilevicz, M Gill, R Anderson, J Batley… - Frontiers in …, 2022 - frontiersin.org
Genomic prediction tools support crop breeding based on statistical methods, such as the
genomic best linear unbiased prediction (GBLUP). However, these tools are not designed to …

Phenotypic plasticity in plant height shaped by interaction between genetic loci and diurnal temperature range

Q Mu, T Guo, X Li, J Yu - New Phytologist, 2022 - Wiley Online Library
Phenotypic plasticity is observed widely in plants and often studied with reaction norms for
adult plant or end‐of‐season traits. Uncovering genetic, environmental and developmental …

Temporal vegetation indices and plant height from remotely sensed imagery can predict grain yield and flowering time breeding value in maize via machine learning …

A Adak, SC Murray, S Božinović, R Lindsey… - Remote Sensing, 2021 - mdpi.com
Unoccupied aerial system (UAS; ie, drone equipped with sensors) field-based high-
throughput phenotyping (HTP) platforms are used to collect high quality images of plant …

AirMeasurer: open‐source software to quantify static and dynamic traits derived from multiseason aerial phenotyping to empower genetic mapping studies in rice

G Sun, H Lu, Y Zhao, J Zhou, R Jackson… - New …, 2022 - Wiley Online Library
Low‐altitude aerial imaging, an approach that can collect large‐scale plant imagery, has
grown in popularity recently. Amongst many phenotyping approaches, unmanned aerial …

Time series canopy phenotyping enables the identification of genetic variants controlling dynamic phenotypes in soybean

D Li, D Bai, Y Tian, YH Li, C Zhao… - Journal of integrative …, 2023 - Wiley Online Library
Advances in plant phenotyping technologies are dramatically reducing the marginal costs of
collecting multiple phenotypic measurements across several time points. Yet, most current …

A UAV‐based high‐throughput phenotyping approach to assess time‐series nitrogen responses and identify trait‐associated genetic components in maize

E Rodene, G Xu, S Palali Delen, X Zhao… - The Plant Phenome …, 2022 - Wiley Online Library
Advancements in the use of genome‐wide markers have provided unprecedented
opportunities for dissecting the genetic components that control phenotypic trait variation …

Phenomic data-driven biological prediction of maize through field-based high-throughput phenotyping integration with genomic data

A Adak, M Kang, SL Anderson… - Journal of …, 2023 - academic.oup.com
High-throughput phenotyping (HTP) has expanded the dimensionality of data in plant
research; however, HTP has resulted in few novel biological discoveries to date. Field …