Search Results - "ShuaiPeng, Fei"

A Machine-Learning Model Based on the Fusion of Spectral and Textural Features from UAV Multi-Sensors to Analyse the Total Nitrogen Content in Winter Wheat by Li, Zongpeng, Zhou, Xinguo, Cheng, Qian, Fei, Shuaipeng, Chen, Zhen

“…Timely and accurate monitoring of the nitrogen levels in winter wheat can reveal its nutritional status and facilitate informed field management decisions…”
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Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield by Fei, Shuaipeng, Li, Lei, Han, Zhiguo, Chen, Zhen, Xiao, Yonggui

“…Wheat is an important food crop globally, and timely prediction of wheat yield in breeding efforts can improve selection efficiency. Traditional yield…”
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Wheat Ear Recognition Based on RetinaNet and Transfer Learning by Li, Jingbo, Li, Changchun, Fei, Shuaipeng, Ma, Chunyan, Chen, Weinan, Ding, Fan, Wang, Yilin, Li, Yacong, Shi, Jinjin, Xiao, Zhen

“…The number of wheat ears is an essential indicator for wheat production and yield estimation, but accurately obtaining wheat ears requires expensive manual…”
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Assessment of Ensemble Learning to Predict Wheat Grain Yield Based on UAV-Multispectral Reflectance by Fei, Shuaipeng, Hassan, Muhammad Adeel, He, Zhonghu, Chen, Zhen, Shu, Meiyan, Wang, Jiankang, Li, Changchun, Xiao, Yonggui

“…Grain yield is increasingly affected by climate factors such as drought and heat. To develop resilient and high-yielding cultivars, high-throughput phenotyping…”
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Improved estimation of canopy water status in maize using UAV-based digital and hyperspectral images by Meiyan, Shu, Qizhou, Dong, ShuaiPeng, Fei, Xiaohong, Yang, Jinyu, Zhu, Lei, Meng, Baoguo, Li, Yuntao, Ma

“…•Two new indices of canopy water were proposed using canopy coverage instead of LAI.•Estimation accuracies of r-FMCc and r-EWTc were better than those of FMCc…”
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Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits by Shu, Meiyan, Fei, Shuaipeng, Zhang, Bingyu, Yang, Xiaohong, Guo, Yan, Li, Baoguo, Ma, Yuntao

“…High-throughput estimation of phenotypic traits from UAV (unmanned aerial vehicle) images is helpful to improve the screening efficiency of breeding maize…”
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Winter wheat ear counting based on improved YOLOv7x and Kalman filter tracking algorithm with video streaming by Xu, Xingmei, Zhou, Lei, Yu, Helong, Sun, Guangyao, Fei, Shuaipeng, Zhu, Jinyu, Ma, Yuntao

“…Accurate and real-time field wheat ear counting is of great significance for wheat yield prediction, genetic breeding and optimized planting management. In…”
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Enhancing Wheat Above-Ground Biomass Estimation Using UAV RGB Images and Machine Learning: Multi-Feature Combinations, Flight Height, and Algorithm Implications by Zhai, Weiguang, Li, Changchun, Cheng, Qian, Mao, Bohan, Li, Zongpeng, Li, Yafeng, Ding, Fan, Qin, Siqing, Fei, Shuaipeng, Chen, Zhen

“…Above-ground biomass (AGB) serves as an indicator of crop growth status, and acquiring timely AGB information is crucial for estimating crop yield and…”
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Entropy Weight Ensemble Framework for Yield Prediction of Winter Wheat Under Different Water Stress Treatments Using Unmanned Aerial Vehicle-Based Multispectral and Thermal Data by Fei, Shuaipeng, Hassan, Muhammad Adeel, Ma, Yuntao, Shu, Meiyan, Cheng, Qian, Li, Zongpeng, Chen, Zhen, Xiao, Yonggui

“…Crop breeding programs generally perform early field assessments of candidate selection based on primary traits such as grain yield (GY). The traditional…”
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Estimation of Maize LAI Using Ensemble Learning and UAV Multispectral Imagery under Different Water and Fertilizer Treatments by Cheng, Qian, Xu, Honggang, Fei, Shuaipeng, Li, Zongpeng, Chen, Zhen

“…The leaf area index (LAI), commonly used as an indicator of crop growth and physiological development, is mainly influenced by the degree of water and…”
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Deep Learning Models Outperform Generalized Machine Learning Models in Predicting Winter Wheat Yield Based on Multispectral Data from Drones by Li, Zongpeng, Chen, Zhen, Cheng, Qian, Fei, Shuaipeng, Zhou, Xinguo

“…Timely and accurate monitoring of winter wheat yields is beneficial for the macro-guidance of agricultural production and for making precise management…”
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Estimation of Nitrogen Content in Winter Wheat Based on Multi-Source Data Fusion and Machine Learning by Ding, Fan, Li, Changchun, Zhai, Weiguang, Fei, Shuaipeng, Cheng, Qian, Chen, Zhen

“…Nitrogen (N) is an important factor limiting crop productivity, and accurate estimation of the N content in winter wheat can effectively monitor the crop…”
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Wheat Yield Prediction Using Machine Learning Method Based on UAV Remote Sensing Data by Yang, Shurong, Li, Lei, Fei, Shuaipeng, Yang, Mengjiao, Tao, Zhiqiang, Meng, Yaxiong, Xiao, Yonggui

“…Accurate forecasting of crop yields holds paramount importance in guiding decision-making processes related to breeding efforts. Despite significant…”
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Stacking of Canopy Spectral Reflectance from Multiple Growth Stages Improves Grain Yield Prediction under Full and Limited Irrigation in Wheat by Hassan, Muhammad Adeel, Fei, Shuaipeng, Li, Lei, Jin, Yirong, Liu, Peng, Rasheed, Awais, Shawai, Rabiu Sani, Zhang, Liang, Ma, Aimin, Xiao, Yonggui, He, Zhonghu

“…Grain yield (GY) prediction for wheat based on canopy spectral reflectance can improve selection efficiency in breeding programs. Time-series spectral…”
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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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不同施氮处理下无人机光谱感知冬小麦产量 by DING, Fan, CHEN, Zhen, LI, Changchun, CHENG, Qian, Shuaipeng, FEI, LI, Jingbo, XU, Honggang, LI Zongpeng

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Bayesian model averaging to improve the yield prediction in wheat breeding trials by Fei, Shuaipeng, Chen, Zhen, Li, Lei, Ma, Yuntao, Xiao, Yonggui

“…•Boruta algorithm reduced the dimensionality of hyperspectral data.•Bayesian model averaging outperformed individual machine learning models.•The diversity of…”
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UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat by Fei, Shuaipeng, Hassan, Muhammad Adeel, Xiao, Yonggui, Su, Xin, Chen, Zhen, Cheng, Qian, Duan, Fuyi, Chen, Riqiang, Ma, Yuntao

“…Early prediction of grain yield helps scientists to make better breeding decisions for wheat. Use of machine learning (ML) methods for fusion of unmanned…”
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Optimum design of Chinese solar greenhouses for maximum energy availability by Xu, Demin, Fei, Shuaipeng, Wang, Zhi, Zhu, Jinyu, Ma, Yuntao

“…Given the aging of greenhouse facility, there is a need for investigating the transformation of existing greenhouses to maximize solar energy utilization. In…”
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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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