Advances in optical phenotyping of cereal crops
Optical sensors and sensing-based phenotyping techniques have become mainstream
approaches in high-throughput phenotyping for improving trait selection and genetic gains …
approaches in high-throughput phenotyping for improving trait selection and genetic gains …
Resources for image-based high-throughput phenotyping in crops and data sharing challenges
High-throughput phenotyping (HTP) platforms are capable of monitoring the phenotypic
variation of plants through multiple types of sensors, such as red green and blue (RGB) …
variation of plants through multiple types of sensors, such as red green and blue (RGB) …
Field‐based robotic leaf angle detection and characterization of maize plants using stereo vision and deep convolutional neural networks
Maize (Zea mays L.) is one of the three major cereal crops in the world. Leaf angle is an
important architectural trait of crops due to its substantial role in light interception by the …
important architectural trait of crops due to its substantial role in light interception by the …
AngleCam: Predicting the temporal variation of leaf angle distributions from image series with deep learning
T Kattenborn, R Richter… - Methods in Ecology …, 2022 - Wiley Online Library
Vertical leaf angles and their variation through time are directly related to several
ecophysiological processes and properties. However, there is no efficient method for …
ecophysiological processes and properties. However, there is no efficient method for …
Bioinformatics in plant breeding and research on disease resistance
H Mu, B Wang, F Yuan - Plants, 2022 - mdpi.com
In the context of plant breeding, bioinformatics can empower genetic and genomic selection
to determine the optimal combination of genotypes that will produce a desired phenotype …
to determine the optimal combination of genotypes that will produce a desired phenotype …
Maize leaf angle genetic gain is slowing down in the last decades
Quantifying historical changes in maize leaf angle and factors affecting it can enhance our
understanding of canopy architecture and light capture, and hence crop productivity. Our …
understanding of canopy architecture and light capture, and hence crop productivity. Our …
Machine learning in the analysis of multispectral reads in maize canopies responding to increased temperatures and water deficit
Real-time monitoring of crop responses to environmental deviations represents a new
avenue for applications of remote and proximal sensing. Combining the high-throughput …
avenue for applications of remote and proximal sensing. Combining the high-throughput …
High-Throughput extraction of the distributions of leaf base and inclination angles of maize in the field
Distributions of leaf base and inclination angles are important crop phenotypic traits,
influencing light interception and productivity. Light detection and ranging (LiDAR), and …
influencing light interception and productivity. Light detection and ranging (LiDAR), and …
[HTML][HTML] Enhancing maize radiation use efficiency under high planting density by shaping canopy architecture with a plant growth regulator
G Huang, Y Guo, W Tan, M Zhang, Z Li, Y Zhou… - Crop and …, 2024 - Elsevier
Optimized maize (Zea mays L.) canopy architecture enhances density-tolerance. DHEAP (N,
N-Diethyl-2-hexanoyl oxygen radicals-ethyl amine (2-ethyl chloride) phosphonic acid salt) …
N-Diethyl-2-hexanoyl oxygen radicals-ethyl amine (2-ethyl chloride) phosphonic acid salt) …
High-throughput proximal ground crop phenotyping systems–A comprehensive review
Current crop phenotyping mainly relies on manual measurements and visual inspection for
data collection and crop assessment, which is labor-intensive, subjective, and inefficient …
data collection and crop assessment, which is labor-intensive, subjective, and inefficient …