Daozhi Gong

Orcid: 0000-0002-3198-9929

According to our database1, Daozhi Gong authored at least 11 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Comparison and Optimization of Light Use Efficiency-Based Gross Primary Productivity Models in an Agroforestry Orchard.
Remote. Sens., October, 2024

2023
Standardized precipitation evapotranspiration index (SPEI) estimated using variant long short-term memory network at four climatic zones of China.
Comput. Electron. Agric., October, 2023

Estimation of Soil Moisture Using Multi-Source Remote Sensing and Machine Learning Algorithms in Farming Land of Northern China.
Remote. Sens., September, 2023

Predicting daily solar radiation using a novel hybrid long short-term memory network across four climate regions of China.
Comput. Electron. Agric., September, 2023

2021
Extreme learning machine for reference crop evapotranspiration estimation: Model optimization and spatiotemporal assessment across different climates in China.
Comput. Electron. Agric., 2021

Evaluation of bio-inspired optimization algorithms hybrid with artificial neural network for reference crop evapotranspiration estimation.
Comput. Electron. Agric., 2021

2020
Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data.
Comput. Electron. Agric., 2020

2019
Comparison of BP, PSO-BP and statistical models for predicting daily global solar radiation in arid Northwest China.
Comput. Electron. Agric., 2019

Two-dimensional monitoring of soil water content in fields with plastic mulching using electrical resistivity tomography.
Comput. Electron. Agric., 2019

2018
Evaluation of artificial intelligence models for actual crop evapotranspiration modeling in mulched and non-mulched maize croplands.
Comput. Electron. Agric., 2018

2017
Modeling reference evapotranspiration using extreme learning machine and generalized regression neural network only with temperature data.
Comput. Electron. Agric., 2017


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