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) …

Technology and data fusion methods to enhance site-specific crop monitoring

U Ahmad, A Nasirahmadi, O Hensel, S Marino - Agronomy, 2022 - mdpi.com
Digital farming approach merges new technologies and sensor data to optimize the quality
of crop monitoring in agriculture. The successful fusion of technology and data is highly …

Improved potato AGB estimates based on UAV RGB and hyperspectral images

Y Liu, H Feng, J Yue, X Jin, Y Fan, R Chen… - … and Electronics in …, 2023 - Elsevier
Crops' above-ground biomass (AGB) is a crucial indicator that reflects crop health and
predicts crop yield. However, using only optical vegetation indices (VIs) can produce …

Estimation of above-ground biomass of winter wheat based on consumer-grade multi-spectral UAV

F Wang, M Yang, L Ma, T Zhang, W Qin, W Li, Y Zhang… - Remote Sensing, 2022 - mdpi.com
One of the problems of optical remote sensing of crop above-ground biomass (AGB) is that
vegetation indices (VIs) often saturate from the middle to late growth stages. This study …

High throughput field phenotyping for plant height using UAV-based RGB imagery in wheat breeding lines: Feasibility and validation

L Volpato, F Pinto, L González-Pérez… - Frontiers in Plant …, 2021 - frontiersin.org
Plant height (PH) is an essential trait in the screening of most crops. While in crops such as
wheat, medium stature helps reduce lodging, tall plants are preferred to increase total above …

[HTML][HTML] Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing

Q Li, S Jin, J Zang, X Wang, Z Sun, Z Li, S Xu, Q Ma… - The Crop Journal, 2022 - Elsevier
Accurate, efficient, and timely yield estimation is critical for crop variety breeding and
management optimization. However, the contributions of proximal sensing data …

Multi-source data fusion improves time-series phenotype accuracy in maize under a field high-throughput phenotyping platform

Y Li, W Wen, J Fan, W Gou, S Gu, X Lu, Z Yu… - Plant …, 2023 - spj.science.org
The field phenotyping platforms that can obtain high-throughput and time-series phenotypes
of plant populations at the 3-dimensional level are crucial for plant breeding and …

UAV oblique imagery with an adaptive micro-terrain model for estimation of leaf area index and height of maize canopy from 3D point clouds

M Li, RR Shamshiri, M Schirrmann, C Weltzien… - Remote Sensing, 2022 - mdpi.com
Leaf area index (LAI) and height are two critical measures of maize crops that are used in
ecophysiological and morphological studies for growth evaluation, health assessment, and …

Estimating canopy density parameters time-series for winter wheat using UAS Mounted LiDAR

JS Bates, C Montzka, M Schmidt, F Jonard - Remote Sensing, 2021 - mdpi.com
Monitoring of canopy density with related metrics such as leaf area index (LAI) makes a
significant contribution to understanding and predicting processes in the soil–plant …

3D reconstruction and characterization of cotton bolls in situ based on UVA technology

S Xiao, S Fei, Y Ye, D Xu, Z Xie, K Bi, Y Guo, B Li… - ISPRS Journal of …, 2024 - Elsevier
Phenotypic traits at the organ scale hold significant importance in the realm of plant
breeding, notably in evaluating genetic diversity, selecting innovative cultivars, and …