Zhe Gu

Dr. Zhe Gu

Hohai University, Nanjing, Jiangsu, China
orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2020 in Journal of Irrigation and Drainage Engineering
Verified
Journal Article
Closed access
Zhe GuZhe Gu
Zhe Gu
ZQZhiming Qi
Zhiming Qi
RBRasika Burghate
Rasika Burghate
SYShouqi Yuan
Shouqi Yuan
XJXiyun Jiao
Xiyun Jiao
JXJunzeng Xu
Junzeng Xu
In an effort to improve plant growth and to achieve high yield and/or quality, irrigation scheduling (IS) seeks to provide plants with appropriate quantities of water at appropriate times. To better understand irrigation scheduling’s main processes and principles, its four most common methods of operation—(1) evapotranspiration and water balance (ET-WB), (2) soil moisture (Θ) status, (3) plant water status, and (4) models—along with their pros and cons are introduced and compared. Irrigation applications, including software, programs, and associated controllers are introduced. Given that some of these methods focus on Θ or plant responses to soil moisture, the determination of target soil moisture levels, along with estimates (either calculated or measured) of current soil moisture status are key to both scheduling irrigations, and the precise replenishment of soil moisture to target levels. Accordingly, factors in the soil-crop-atmosphere system affecting soil moisture must be considered in the scheduling process. As all four types of IS methods focus on soil water content, which serves as a bridge between irrigation management and crop water requirements for growth, future scheduling methods should focus on the management of soil moisture based on an advanced understanding of its effects on crop growth either by the integration of existing IS methods or the development of new models, using intelligent algorithms. Using these approaches, more practical, accurate, and easily adaptable IS applications should be developed for real-time farming operations. Weather station networks and online data access should be enhanced to better serve these IS applications.

1 January 2021 in Computers and Electronics in Agriculture
Verified
Journal Article
Closed access
Zhe GuZhe Gu
Zhe Gu
TZTingting Zhu
Tingting Zhu
XJXiyun Jiao
Xiyun Jiao
JXJunzeng Xu
Junzeng Xu
ZQZhiming Qi
Zhiming Qi

1 March 2020 in Geoderma
Verified
Journal Article
Closed access
YLYawei Li
Yawei Li
JXJunzeng Xu
Junzeng Xu
SLShimeng Liu
Shimeng Liu
ZQZhiming Qi
Zhiming Qi
HWHaiyu Wang
Haiyu Wang
FHFazli Hameed
Fazli Hameed

1 December 2017 in Computers and Electronics in Agriculture
Verified
Journal Article
Closed access
Zhe GuZhe Gu
Zhe Gu
ZQZhiming Qi
Zhiming Qi
LMLiwang Ma
Liwang Ma
DGDongwei Gui
Dongwei Gui
Junzeng XuJunzeng Xu
Junzeng Xu
GFGary Feng
Gary Feng

1 August 2019 in Agricultural Water Management
Verified
Journal Article
Closed access
XCXiaoping Chen
Xiaoping Chen
ZQZhiming Qi
Zhiming Qi
DGDongwei Gui
Dongwei Gui
Zhe GuZhe Gu
Zhe Gu
LMLiwang Ma
Liwang Ma
LLLanhai Li
Lanhai Li

1 May 2020 in Agricultural Water Management
Verified
Journal Article
Closed access
XCXiaoping Chen
Xiaoping Chen
ZQZhiming Qi
Zhiming Qi
DGDongwei Gui
Dongwei Gui
MSMatthew W. Sima
Matthew W. Sima
FZFanjiang Zeng
Fanjiang Zeng
Zhe GuZhe Gu
Zhe Gu