Yuan Rao

发表

A novel heuristic target-dependent neural architecture search method with small samples

Shaowen Li, Leiyang Fu, Yuan Rao, 2022, Frontiers in Plant Science.

Research on predicting early Fusarium head blight with asymptomatic wheat grains by micro-near infrared spectrometer.

Shaowen Li, Jun Zhou, Xiuliang Jin, 2022, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

A Novel Tran_NAS Method for the Identification of Fe- and Mg-Deficient Pear Leaves from N- and P-Deficient Pear Leaf Data

Shaowen Li, Lianglong Wang, Xiuliang Jin, 2022, ACS omega.

YOLOv5s-FP: A Novel Method for In-Field Pear Detection Using a Transformer Encoder and Multi-Scale Collaboration Perception

Yuwei Wang, Lu Liu, Xiuliang Jin, 2022, Sensors.

A Stacking-Based Ensemble Learning Method for Available Nitrogen Soil Prediction with a Handheld Micronear-Infrared Spectrometer

Shaowen Li, Qijuan Gao, Lianglong Wang, 2023, Journal of Applied Spectroscopy.

Construction of a photosynthetic rate prediction model for greenhouse strawberries with distributed regulation of light environment.

Xinyan Chen, Wu Zhang, Qile Tai, 2022, Mathematical biosciences and engineering : MBE.

Identifying the “Dangshan” Physiological Disease of Pear Woolliness Response via Feature-Level Fusion of Near-Infrared Spectroscopy and Visual RGB Image

Yuanfeng Chen, Xiuliang Jin, Wu Zhang, 2023, Foods.

Identification of Pine Wilt Disease Infected Wood Using UAV RGB Imagery and Improved YOLOv5 Models Integrated with Attention Mechanisms

Peng Zhang, Xiang Gao, Yuan Rao, 2023, Forests.

FA-Net: A Fused Feature for Multi-Head Attention Recoding Network for Pear Leaf Nutritional Deficiency Diagnosis with Visual RGB-Image Depth and Shallow Features

Xiuliang Jin, Yuan Rao, Xiao-Dong Zhang, 2023, Sensors.

Predicting the nutrition deficiency of fresh pear leaves with a miniature near-infrared spectrometer in the laboratory

Shaowen Li, Lianglong Wang, Jinxiang Xuan, 2021, Measurement.

Data-driven decision support scheme for multi-area light environment control in greenhouse

Xinyan Chen, Wu Zhang, Yuan Rao, 2023, Computers and Electronics in Agriculture.

An Improved Vision Transformer Network with a Residual Convolution Block for Bamboo Resource Image Identification

Shaowen Li, Qijuan Gao, Lianglong Wang, 2023, Electronics.

Improved U-Net for Growth Stage Recognition of In-Field Maize

Shaowen Li, Xiuliang Jin, Yuan Rao, 2023, Agronomy.

The Nondestructive Model of Near-Infrared Spectroscopy with Different Pretreatment Transformation for Predicting “Dangshan” Pear Woolliness Disease

Yuanfeng Chen, Xiuliang Jin, Yuan Rao, 2023, Agronomy.

Using an optimised neural architecture search for predicting the quantum yield of photosynthesis of winter wheat

Shaowen Li, Lianglong Wang, Xiuliang Jin, 2023, Biosystems Engineering.

Predicting abiotic stress-responsive miRNA in plants based on multi-source features fusion and graph neural network

Xiuliang Jin, Yuan Rao, Xiao-Dong Zhang, 2024, Plant methods.

TranNas-NirCR: A method for improving the diagnosis of asymptomatic wheat scab with transfer learning and neural architecture search

Xiuliang Jin, Yuan Rao, Wenjing Ba, 2023, Comput. Electron. Agric..

Progressive multi-level distillation learning for pruning network

Xiuliang Jin, Wu Zhang, Yuan Rao, 2023, Complex & Intelligent Systems.

A novel transfer method with neural network architecture searching to predict asymptomatic of “akizuki” pear cork spot disorder on near-infrared spectroscopy

Xiuliang Jin, Yuan Rao, Wenjing Ba, 2024, Microchemical Journal.

MFPINC: prediction of plant ncRNAs based on multi-source feature fusion

Xiuliang Jin, Yuan Rao, Xiao-Dong Zhang, 2024, BMC genomics.