Search Results - "Xiao, Shunfu"

Image-Based Dynamic Quantification of Aboveground Structure of Sugar Beet in Field by Xiao, Shunfu, Chai, Honghong, Shao, Ke, Shen, Mengyuan, Wang, Qing, Wang, Ruili, Sui, Yang, Ma, Yuntao

“…Sugar beet is one of the main crops for sugar production in the world. With the increasing demand for sugar, more desirable sugar beet genotypes need to be…”
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Estimation of Maize Photosynthesis Traits Using Hyperspectral Lidar Backscattered Intensity by Bi, Kaiyi, Niu, Zheng, Xiao, Shunfu, Bai, Jie, Sun, Gang, Wang, Ji, Han, Zeying, Gao, Shuai

“…High-throughput measurement of plant photosynthesis ability presents a challenge for the breeding process aimed to improve crop yield. As a novel technique,…”
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Non-Destructive Monitoring of Maize Nitrogen Concentration Using a Hyperspectral LiDAR: An Evaluation from Leaf-Level to Plant-Level by Bi, Kaiyi, Niu, Zheng, Xiao, Shunfu, Bai, Jie, Sun, Gang, Wang, Ji, Han, Zeying, Gao, Shuai

“…Advanced remote sensing techniques for estimating crop nitrogen (N) are crucial for optimizing N fertilizer management. Hyperspectral LiDAR (HSL) data, with…”
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Segmentation of Individual Leaves of Field Grown Sugar Beet Plant Based on 3D Point Cloud by Liu, Yunling, Zhang, Guoli, Shao, Ke, Xiao, Shunfu, Wang, Qing, Zhu, Jinyu, Wang, Ruili, Meng, Lei, Ma, Yuntao

“…Accurate segmentation of individual leaves of sugar beet plants is of great significance for obtaining the leaf-related phenotypic data. This paper developed a…”
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The Importance of Using Realistic 3D Canopy Models to Calculate Light Interception in the Field by Xiao, Shunfu, Fei, Shuaipeng, Li, Qing, Zhang, Bingyu, Chen, Haochong, Xu, Demin, Cai, Zhibo, Bi, Kaiyi, Guo, Yan, Li, Baoguo, Chen, Zhen, Ma, Yuntao

“…Quantifying canopy light interception provides insight into the effects of plant spacing, canopy structure, and leaf orientation on radiation distribution…”
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Dual sampling linear regression ensemble to predict wheat yield across growing seasons with hyperspectral sensing by Fei, Shuaipeng, Xiao, Shunfu, Zhu, Jinyu, Xiao, Yonggui, Ma, Yuntao

“…•Combining remote sensing and regression methods for accurate wheat yield prediction.•DF algorithm outperforms RF, excelling in mid-grain filling stage…”
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Estimating Vertical Chlorophyll Concentrations in Maize in Different Health States Using Hyperspectral LiDAR by Bi, Kaiyi, Xiao, Shunfu, Gao, Shuai, Zhang, Changsai, Huang, Ni, Niu, Zheng

“…The detection of vertical heterogeneity in vegetation has attracted an increasing attention as it has a great significance for precise agriculture. The…”
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Estimating economic benefit of sugar beet based on three-dimensional computer vision: a case study in Inner Mongolia, China by Xiao, Shunfu, Chai, Honghong, Wang, Qing, Shao, Ke, Meng, Lei, Wang, Ruili, Li, Baoguo, Ma, Yuntao

“…•Phenotypic traits derived from the SFM-MVS method can estimate sugar beet economic benefit using the PLSR model constructed with multi-year data.•We designed…”
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Improved random patches and model transfer for deriving leaf mass per area across multispecies from spectral reflectance by Fei, Shuaipeng, Xiao, Shunfu, Xu, Demin, Shu, Meiyan, Sun, Hong, Feng, Puyu, Xiao, Yonggui, Ma, Yuntao

“…•Enhanced LMA estimation using machine learning and spectral reflectance.•Random patches addresses weak generalization in machine learning methods.•Transfer…”
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3D reconstruction and characterization of cotton bolls in situ based on UAV technology by Xiao, Shunfu, Fei, Shuaipeng, Ye, Yulu, Xu, Demin, Xie, Ziwen, Bi, Kaiyi, Guo, Yan, Li, Baoguo, Zhang, Rui, Ma, Yuntao

“…Phenotypic traits at the organ scale hold significant importance in the realm of plant breeding, notably in evaluating genetic diversity, selecting innovative…”
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N distribution characterization based on organ-level biomass and N concentration using a hyperspectral lidar by Bi, Kaiyi, Gao, Shuai, Xiao, Shunfu, Zhang, Changsai, Bai, Jie, Huang, Ni, Sun, Gang, Niu, Zheng

“…•Hyperspectral lidar with 32 wavelength bands can construct the spectral point cloud of maize plants.•The organ-level N concentration and biomass were…”
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Simultaneous Extraction of Plant 3-D Biochemical and Structural Parameters Using Hyperspectral LiDAR by Bi, Kaiyi, Niu, Zheng, Gao, Shuai, Xiao, Shunfu, Pei, Jie, Zhang, Changsai, Huang, Ni

“…Hyperspectral light detection and ranging (LiDAR) (HSL) can be used to acquire backscattered full-waveform data with abundant spectral information, providing a…”
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Quantitative analysis and planting optimization of multi-genotype sugar beet plant types based on 3D plant architecture by Chen, Haochong, Zhang, Meixue, Xiao, Shunfu, Wang, Qing, Cai, Zhibo, Dong, Qiaoxue, Feng, Puyu, Shao, Ke, Ma, Yuntao

“…•Point cloud acquisition of in situ monocots of sugar beet in the field;•Nine structural features of strain extraction based on point cloud;•Characteristics of…”
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Enhancing leaf area index and biomass estimation in maize with feature augmentation from unmanned aerial vehicle-based nadir and cross-circling oblique photography by Fei, Shuaipeng, Xiao, Shunfu, Li, Qing, Shu, Meiyan, Zhai, Weiguang, Xiao, Yonggui, Chen, Zhen, Yu, Helong, Ma, Yuntao

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High-throughput calculation of organ-scale traits with reconstructed accurate 3D canopy structures using a UAV RGB camera with an advanced cross-circling oblique route by Xiao, Shunfu, Ye, Yulu, Fei, Shuaipeng, Chen, Haochong, zhang, Bingyu, li, Qing, Cai, Zhibo, Che, Yingpu, Wang, Qing, Ghafoor, AbuZar, Bi, Kaiyi, Shao, Ke, Wang, Ruili, Guo, Yan, Li, Baoguo, Zhang, Rui, Chen, Zhen, Ma, Yuntao

“…The measurement of organ-scale traits in large-scale fields remains a bottleneck in genotype-phenotype association studies for crop improvement. To address…”
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Improving soybean yield prediction by integrating UAV nadir and cross-circling oblique imaging by Sun, Guangyao, Zhang, Yong, Chen, Haochong, Wang, Lei, Li, Mingxue, Sun, Xuhong, Fei, Shuaipeng, Xiao, Shunfu, Yan, Long, Li, Yinghui, Xu, Yun, Qiu, Lijuan, Ma, Yuntao

“…High-throughput estimation of soybean yield using unmanned aerial vehicle (UAV) imagery can help improve the efficiency of soybean breeding. Previous studies…”
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Investigating the 3D distribution of Cercospora leaf spot disease in sugar beet through fusion methods by Xiao, Shunfu, Chen, Haochong, Hou, Yaguang, Shao, Ke, Bi, Kaiyi, Wang, Ruili, Sui, Yang, Zhu, Jinyu, Guo, Yan, Li, Baoguo, Ma, Yuntao

“…•Spectral point cloud was obtained from a low-cost fusion method.•Quantifying the spatial distribution of plant disease using spectral point cloud.•Disease…”
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