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Xiuliang Jin

Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops

SCHOLARLY PAPERS

7

DOWNLOADS

327

TOTAL CITATIONS

0

Scholarly Papers (7)

1.

Comprehensive Analysis of Hyperspectral Features for Monitoring Canopy Maize Leaf Spot Disease

Number of pages: 38 Posted: 01 Feb 2024
Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops, Henan Agricultural University, Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops, Wageningen University and Research (WUR), Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops and Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops
Downloads 106 (679,608)

Abstract:

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Hyperspectral features, Canopy, Unmanned aerial vehicle (UAV), Leaf spot, Reinforcement Learning

2.

Crop Canopy Volume Weighted by Color Parameters from Uav-Based Rgb Images to Estimate Above-Ground Biomass of Potatoes

Number of pages: 48 Posted: 31 Jan 2023
Beijing Academy of Agriculture and Forestry Sciences, China Agricultural University, Henan Agricultural University, Beijing Academy of Agriculture and Forestry Sciences, Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops, Beijing Academy of Agriculture and Forestry Sciences, Beijing Academy of Agriculture and Forestry Sciences, Beijing Academy of Agriculture and Forestry Sciences and Beijing Academy of Agriculture and Forestry Sciences
Downloads 58 (989,921)

Abstract:

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AGB, UAV, Canopy Spectroscopy, Structural Indicators, potato

3.

The cmSCOPE Model (II): A simple adaptation of the SCOPE model to characterize vertically stratified heterogeneity of maize disease stress traits

Number of pages: 92 Posted: 17 Oct 2025
Peking University, Chinese Academy of Sciences (CAS), Jilin University (JLU), affiliation not provided to SSRN, Nanjing Normal University, Beijing Normal University (BNU), Hunan Agricultural University, Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Anhui University, Xinjiang Agricultural University, affiliation not provided to SSRN and Peking University
Downloads 54 (1,031,043)

Abstract:

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Coupled Maize Model, mSCOPE Model, SEIR model, 3D lesion distribution, Disease stress traits, Radiative transfer model

4.

Accurately Estimate Soybean Growth from Uav Imagery by Eliminating Spatial Heterogeneity and Climate Factors Across Multi-Environment

Number of pages: 30 Posted: 10 Nov 2023
China Agricultural University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Heilongjiang Academy of Agricultural Sciences, Jilin Academy of Agricultural Sciences, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Liaocheng University, affiliation not provided to SSRN, affiliation not provided to SSRN, Anhui Academy of Agricultural Sciences, affiliation not provided to SSRN, affiliation not provided to SSRN, Chinese Academy of Agricultural Sciences (CAAS), Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops and Chinese Academy of Agricultural Sciences (CAAS)
Downloads 41 (1,183,237)

Abstract:

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Soybean growth, Multi-environment trials, Photothermal accumulation area, Spatial heterogeneity, Unmanned aircraft vehicle

5.

ABE-YOLO: A Lightweight and Efficient Model for Maize Ear Detection

Number of pages: 41 Posted: 30 Jan 2026
Xinjiang University, Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops, Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops, Guizhou Academy of Agricultural Sciences, affiliation not provided to SSRN, affiliation not provided to SSRN, Shanxi Agricultural University, Xinjiang University, Anhui University of Science and Technology, affiliation not provided to SSRN and Xinjiang University
Downloads 34 (1,277,121)

Abstract:

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Maize ear detection, lightweight model, YOLOv11, Object Detection, Precision agriculture, Edge computing

6.

Soybean Phenological Stage Identification Based on Multimodal Data and a Dynamic Gating Fusion Model

Number of pages: 44 Posted: 03 Dec 2025
Henan Polytechnic University, Henan Polytechnic University, Henan Polytechnic University, affiliation not provided to SSRN, Heilongjiang Academy of Agricultural Sciences, affiliation not provided to SSRN, Shandong University of Science and Technology, Shanxi Agricultural University, affiliation not provided to SSRN and Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops
Downloads 22 (1,424,331)

Abstract:

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UAV, Soybean Phenology, Multi-modal Fusion, Gating Fusion Model

7.

Multi-metric Clustering for Feature Abstraction in UAV Hyperspectral Estimation of Tobacco Leaf Starch Content

Number of pages: 36 Posted: 13 Feb 2026
Shandong University of Science and Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, Shandong University of Science and Technology, Xinjiang University, affiliation not provided to SSRN and Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops
Downloads 12 (1,548,648)

Abstract:

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Starch content of filed tobacco, Hyperspectral, Remote sensing, Machine Learning, Feature selection