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[HTML][HTML] The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems
Modern agriculture and food production systems are facing increasing pressures from
climate change, land and water availability, and, more recently, a pandemic. These factors …
climate change, land and water availability, and, more recently, a pandemic. These factors …
Unoccupied aerial systems imagery for phenoty** in cotton, maize, soybean, and wheat breeding
High‐throughput phenoty** (HTP) with unoccupied aerial systems (UAS), consisting of
unoccupied aerial vehicles (UAV; or drones) and sensor (s), is an increasingly promising …
unoccupied aerial vehicles (UAV; or drones) and sensor (s), is an increasingly promising …
High-throughput plant phenoty** platform (HT3P) as a novel tool for estimating agronomic traits from the lab to the field
Food scarcity, population growth, and global climate change have propelled crop yield
growth driven by high-throughput phenoty** into the era of big data. However, access to …
growth driven by high-throughput phenoty** into the era of big data. However, access to …
Plant genotype to phenotype prediction using machine learning
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 …
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
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 …
adult plant or end‐of‐season traits. Uncovering genetic, environmental and developmental …
[HTML][HTML] Temporal vegetation indices and plant height from remotely sensed imagery can predict grain yield and flowering time breeding value in maize via machine …
Unoccupied aerial system (UAS; ie, drone equipped with sensors) field-based high-
throughput phenoty** (HTP) platforms are used to collect high quality images of plant …
throughput phenoty** (HTP) platforms are used to collect high quality images of plant …
Phenomic data-driven biological prediction of maize through field-based high-throughput phenoty** integration with genomic data
High-throughput phenoty** (HTP) has expanded the dimensionality of data in plant
research; however, HTP has resulted in few novel biological discoveries to date. Field …
research; however, HTP has resulted in few novel biological discoveries to date. Field …
Deciphering temporal growth patterns in maize: integrative modeling of phenotype dynamics and underlying genomic variations
Quantifying the temporal or longitudinal growth dynamics of crops in diverse environmental
conditions is crucial for understanding plant development, requiring further modeling …
conditions is crucial for understanding plant development, requiring further modeling …
Field-based high-throughput phenoty** enhances phenomic and genomic predictions for grain yield and plant height across years in maize
Field-based phenomic prediction employs novel features, like vegetation indices (VIs) from
drone images, to predict key agronomic traits in maize, despite challenges in matching …
drone images, to predict key agronomic traits in maize, despite challenges in matching …
AirMeasurer: open‐source software to quantify static and dynamic traits derived from multiseason aerial phenoty** to empower genetic map** 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 phenoty** approaches, unmanned aerial …
grown in popularity recently. Amongst many phenoty** approaches, unmanned aerial …