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 …

Crop/plant modeling supports plant breeding: II. Guidance of functional plant phenotyping for trait discovery

P Zhang, J Huang, Y Ma, X Wang, M Kang… - Plant …, 2023 - spj.science.org
Observable morphological traits are widely employed in plant phenotyping for breeding use,
which are often the external phenotypes driven by a chain of functional actions in plants …

High-throughput calculation of organ-scale traits with reconstructed accurate 3D canopy structures using a UAV RGB camera with an advanced cross-circling oblique …

S Xiao, Y Ye, S Fei, H Chen, Z Cai, Y Che… - ISPRS Journal of …, 2023 - Elsevier
The measurement of organ-scale traits in large-scale fields remains a bottleneck in
genotype-phenotype association studies for crop improvement. To address this issue, an …

Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data

Y Liu, H Feng, J Yue, X Jin, Y Fan, R Chen… - … and Electronics in …, 2024 - Elsevier
The accurate estimation of above ground biomass (AGB) is valuable in grasping the status
of potato growth and assessing yield. Spectral analysis techniques play an important role in …

Exploring multisource feature fusion and stacking ensemble learning for accurate estimation of maize chlorophyll content using unmanned aerial vehicle remote …

W Zhai, C Li, Q Cheng, F Ding, Z Chen - Remote Sensing, 2023 - mdpi.com
Crop chlorophyll content measuring plays a vital role in monitoring crop growth and
optimizing agricultural inputs such as water and fertilizer. However, traditional methods for …

UAV-borne hyperspectral estimation of nitrogen content in tobacco leaves based on ensemble learning methods

M Zhang, T Chen, X Gu, Y Kuai, C Wang… - … and Electronics in …, 2023 - Elsevier
Fast, accurate, and real-time detection of nitrogen content in tobacco leaves is of great
significance for monitoring the quality of tobacco leaves. Hyperspectral remote sensing …

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 …

Faba bean and pea harvest index estimations using aerial-based multimodal data and machine learning algorithms

Y Ji, Z Liu, Y Cui, R Liu, Z Chen, X Zong… - Plant …, 2024 - academic.oup.com
Early and high-throughput estimations of the crop harvest index (HI) are essential for crop
breeding and field management in precision agriculture; however, traditional methods for …

Estimation of winter wheat LAI based on color indices and texture features of RGB images taken by UAV

H Li, X Yan, P Su, Y Su, J Li, Z Xu… - Journal of the …, 2024 - Wiley Online Library
Background Leaf area index (LAI) is an important indicator for assessing plant growth and
development, and is also closely related to photosynthesis in plants. The realization of rapid …

Dual sampling linear regression ensemble to predict wheat yield across growing seasons with hyperspectral sensing

S Fei, S Xiao, J Zhu, Y Xiao, Y Ma - Computers and Electronics in …, 2024 - Elsevier
In the domain of crop yield assessment, the combination of remote sensing and advanced
regression techniques has gained significant attention. This study focused on predicting …