[HTML][HTML] High-throughput plant phenotyping 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 phenotyping into the era of big data. However, access to …
growth driven by high-throughput phenotyping into the era of big data. However, access to …
[HTML][HTML] UAS-based plant phenotyping for research and breeding applications
Unmanned aircraft system (UAS) is a particularly powerful tool for plant phenotyping, due to
reasonable cost of procurement and deployment, ease and flexibility for control and …
reasonable cost of procurement and deployment, ease and flexibility for control and …
[HTML][HTML] Estimation of plant height and yield based on UAV imagery in faba bean (Vicia faba L.)
Y Ji, Z Chen, Q Cheng, R Liu, M Li, X Yan, G Li… - Plant Methods, 2022 - Springer
Background Faba bean is an important legume crop in the world. Plant height and yield are
important traits for crop improvement. The traditional plant height and yield measurement …
important traits for crop improvement. The traditional plant height and yield measurement …
[HTML][HTML] Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data
F Argento, T Anken, F Abt, E Vogelsanger, A Walter… - Precision …, 2021 - Springer
Site-specific nitrogen (N) management in precision agriculture is used to improve nitrogen
use efficiency (NUE) at the field scale. The objective of this study has been (i) to better …
use efficiency (NUE) at the field scale. The objective of this study has been (i) to better …
Crop height estimation based on UAV images: Methods, errors, and strategies
T Xie, J Li, C Yang, Z Jiang, Y Chen, L Guo… - … and Electronics in …, 2021 - Elsevier
Unmanned aerial vehicles (UAVs) have emerged as a promising platform for determining
the dynamic phenotypic traits of crops in the field in a rapid and cost-effective manner. Crop …
the dynamic phenotypic traits of crops in the field in a rapid and cost-effective manner. Crop …
[HTML][HTML] Individual maize location and height estimation in field from uav-borne lidar and rgb images
M Gao, F Yang, H Wei, X Liu - Remote Sensing, 2022 - mdpi.com
Crop height is an essential parameter used to monitor overall crop growth, forecast crop
yield, and estimate crop biomass in precision agriculture. However, individual maize …
yield, and estimate crop biomass in precision agriculture. However, individual maize …
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) …
a bottleneck in plant science. This has promoted high-throughput plant phenotyping (HTP) …
[HTML][HTML] Accuracy assessment of plant height using an unmanned aerial vehicle for quantitative genomic analysis in bread wheat
Background Plant height is an important selection target since it is associated with yield
potential, stability and particularly with lodging resistance in various environments. Rapid …
potential, stability and particularly with lodging resistance in various environments. Rapid …
[HTML][HTML] Using UAV borne, multi-spectral imaging for the field phenotyping of shoot biomass, leaf area index and height of West African sorghum varieties under two …
Meeting food demand for the growing population will require an increase to crop production
despite climate changes and, more particularly, severe drought episodes. Sorghum is one of …
despite climate changes and, more particularly, severe drought episodes. Sorghum is one of …
[HTML][HTML] Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean
Background Nowadays, automated phenotyping of plants is essential for precise and cost-
effective improvement in the efficiency of crop genetics. In recent years, machine learning …
effective improvement in the efficiency of crop genetics. In recent years, machine learning …