Ningbo Cui

According to our database, Ningbo Cui authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Estimating leaf age of maize seedlings using UAV-based RGB and multispectral images.

Yi Bai, Liangsheng Shi, Yuanyuan Zha, Shuaibing Liu, Chenwei Nie, Honggen Xu, Hongye Yang, Mingchao Shao, Xun Yu, Minghan Cheng, Yadong Liu, Tao Lin, Ningbo Cui, Wenbin Wu, Xiuliang Jin

Comput. Electron. Agric., December, 2023

Standardized precipitation evapotranspiration index (SPEI) estimated using variant long short-term memory network at four climatic zones of China.

Juan Dong, Liwen Xing, Ningbo Cui, Lu Zhao, Li Guo, Daozhi Gong

Comput. Electron. Agric., October, 2023

Estimation of Soil Moisture Using Multi-Source Remote Sensing and Machine Learning Algorithms in Farming Land of Northern China.

Quanshan Liu, Zongjun Wu, Ningbo Cui, Xiuliang Jin, Shidan Zhu, Shouzheng Jiang, Lu Zhao, Daozhi Gong

Remote. Sens., September, 2023

Predicting daily solar radiation using a novel hybrid long short-term memory network across four climate regions of China.

Liwen Xing, Ningbo Cui, Li Guo, Daozhi Gong, Shenglin Wen, Yixuan Zhang, Mengying Fan

Comput. Electron. Agric., September, 2023

Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods.

Mingchao Shao, Chenwei Nie, Aijun Zhang, Liangsheng Shi, Yuanyuan Zha, Honggen Xu, Hongye Yang, Xun Yu, Yi Bai, Shuaibing Liu, Minghan Cheng, Tao Lin, Ningbo Cui, Wenbin Wu, Xiuliang Jin

Comput. Electron. Agric., August, 2023

Digital Mapping of Root-Zone Soil Moisture Using UAV-Based Multispectral Data in a Kiwifruit Orchard of Northwest China.

Shidan Zhu, Ningbo Cui, Ji Zhou, Jingyuan Xue, Zhihui Wang, Zongjun Wu, Mingjun Wang, Qingling Deng

Remote. Sens., February, 2023

UAV multispectral images for accurate estimation of the maize LAI considering the effect of soil background.

Shuaibing Liu, Xiuliang Jin, Yi Bai, Wenbin Wu, Ningbo Cui, Minghan Cheng, Yadong Liu, Lin Meng, Xiao Jia, Chenwei Nie, Dameng Yin

Int. J. Appl. Earth Obs. Geoinformation, 2023

2021

Extreme learning machine for reference crop evapotranspiration estimation: Model optimization and spatiotemporal assessment across different climates in China.

Daozhi Gong, Weiping Hao, Lili Gao, Yu Feng, Ningbo Cui

Comput. Electron. Agric., 2021

Evaluation of bio-inspired optimization algorithms hybrid with artificial neural network for reference crop evapotranspiration estimation.

Lili Gao, Daozhi Gong, Ningbo Cui, Min Lv, Yu Feng

Comput. Electron. Agric., 2021

2020

Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data.

Bin Zhu, Yu Feng, Daozhi Gong, Shouzheng Jiang, Lu Zhao, Ningbo Cui

Comput. Electron. Agric., 2020

Estimation of summer maize evapotranspiration using MARS model in the semi-arid region of northwest China.

Xiaoqin Shan, Ningbo Cui, Huanjie Cai, Xiaotao Hu, Lu Zhao

Comput. Electron. Agric., 2020

2019

Comparison of BP, PSO-BP and statistical models for predicting daily global solar radiation in arid Northwest China.

Yixuan Zhang, Ningbo Cui, Yu Feng, Daozhi Gong, Xiaotao Hu

Comput. Electron. Agric., 2019

2018

Evaluation of artificial intelligence models for actual crop evapotranspiration modeling in mulched and non-mulched maize croplands.

Dahua Tang, Yu Feng, Daozhi Gong, Weiping Hao, Ningbo Cui

Comput. Electron. Agric., 2018

2017

Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data.

Yu Feng, Yong Peng, Ningbo Cui, Daozhi Gong, Kuandi Zhang

Comput. Electron. Agric., 2017