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Liujun Xiao

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

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176

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Improving Phenology Prediction of Wheat Breeding Populations by Integrating Deep Learning and Process-Based Crop Models

Number of pages: 54 Posted: 02 Jun 2025
Fengdi Li, Runtao He, Wenliang Yan, Qizhao Fang, Shifeng Cheng, Junliang Hou, YunFeng Xu, Yubing Wu, Yawen Xu, Xue Wang, Liujun Xiao, Leilei Liu, Liang Tang, Weixing Cao, Bing Liu and Yan Zhu
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, 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, affiliation not provided to SSRN, affiliation not provided to SSRN, Nanjing Agricultural University (NAU), Nanjing Agricultural University (NAU), affiliation not provided to SSRN and Nanjing Agricultural University (NAU)
Downloads 75 (844,901)

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Heading date, Crop models, Long Short-Term Memory, Climatic indices, Phenology prediction

2.

Climate-Smart Optimization of Double Cropping Rice Sowing Date by Combining Crop Models and Machine Learning

Number of pages: 31 Posted: 26 Jun 2025
Jinhan Zhang, Ming Huang, Ioannis N. Athanasiadis, Leilei Liu, Bing Liu, Liujun Xiao, Yan Zhu, Weixing Cao and Liang Tang
affiliation not provided to SSRN, affiliation not provided to SSRN, Wageningen University & Research, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Nanjing Agricultural University (NAU), Nanjing Agricultural University (NAU) and Nanjing Agricultural University (NAU)
Downloads 59 (980,173)

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Sowing date optimization, rice, Crop model, Machine learning, Extreme climate indices

3.

Predicting and Explaining for Rice Phenology Across China by Integrating Crop Model and Interpretable Machine Learning

Number of pages: 39 Posted: 11 Jun 2024
Jinhan Zhang, Xiaomao Lin, Chongya Jiang, Xuntao Hu, Bing Liu, Leilei Liu, Liujun Xiao, Yan Zhu, Weixing Cao and Liang Tang
affiliation not provided to SSRN, Kansas State 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, Nanjing Agricultural University (NAU), Nanjing Agricultural University (NAU) and Nanjing Agricultural University (NAU)
Downloads 42 (1,170,409)

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Rice phenology, Crop models, Data-driven, Interpretable machine learning