Chenghao Zhang

Prof. Dr. Chenghao Zhang


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

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

Representative Publications

View All Publications
28 March 2025 in Horticulturae
Verified
Journal Article
Open access
PDF file
JYJialing Yu
Jialing Yu
YZYinglei Zhao
Yinglei Zhao
JYJialing Yu
Jialing Yu
STShiyi Tan
Shiyi Tan
JTJunhua Tong
Junhua Tong
CZChenghao Zhang
Chenghao Zhang
Double grafting is an innovative horticultural technique that enables the rapid and cost-effective development of ideal plants by incorporating an interstock between the scion and rootstock. This review comprehensively examines the multifaceted impacts of double grafting on plant physiology and development. This includes how double grafting influences the plant healing process, photosynthetic efficiency, nutrient uptake and transport, phytohormone regulation, and gene expression. Furthermore, we analyze and synthesize the roles of double grafting in promoting dwarfing, regulating bud differentiation, enhancing stress tolerance, and improving overall yield and quality. By integrating insights from both fundamental research and practical applications, this review aims to provide a forward-looking perspective and a robust theoretical foundation for the global advancement of double grafting technology.

1 January 2025 in International Journal of Agricultural and Biological Engineering
Verified
Journal Article
Open access
PDF file
ZCZhichao Cui
Zhichao Cui
JFJingjing Fu
Jingjing Fu
JLJicheng Li
Jicheng Li
JHJi Haibo
Ji Haibo
WCWu Changhao
Wu Changhao
CGChunsong Guan
Chunsong Guan
Design and test of the progressive push-out automatic seedling taking device for vegetable substrate block seedlings

19 December 2025 in Agronomy
Verified
Journal Article
Open access
PDF file
LSLi Shuangwei
Li Shuangwei
MXMinjie Xu
Minjie Xu
KHKaiyuan Han
Kaiyuan Han
STShiyi Tan
Shiyi Tan
YZYinglei Zhao
Yinglei Zhao
SHShan Hua
Shan Hua
Canopy configuration affects crop yields by optimizing radiation interception and/or use efficiency in greenhouses. Although tomato metrics have been reported, the effects of row spacing on growth, yield and radiation for different cultivars are not well documented. Here, we examined tomato growth, yield, radiation interception and use efficiency in a greenhouse with four row spacing patterns (T1: 50 cm, T2: 60 cm, T3: 70 cm and T4: 80 cm) and two tomato cultivars (Aomeila1618 and Zhefen202) over a two-year period. A constructed intermediate model was used to simulate tomato radiation interception. Although there were great differences in the genotypes between the two selected cultivars, 50 cm (T1) was the optimal row spacing to produce a larger leaf area per unit of land area, intercept more radiation and ultimately achieve higher yield than the other three row spacing patterns (T2, T3 and T4). The mean total radiation interception across years and cultivars was 559.43 MJ m−2 in T1, 2.8–3.8% higher than in the other three row spacing patterns. Despite similar dry matter and RUE to Aomeila1618, Zhefen202 in the narrow strip used light more efficiently. These results will help to optimize canopy structures by taking cultivar-specific responses in RUE and growth traits into consideration for high-efficiency tomato production in greenhouses.

27 October 2025 in Agriengineering
Verified
Journal Article
Open access
PDF file
ZCZhichao Cui
Zhichao Cui
JFJingjing Fu
Jingjing Fu
WYWang Yundong
Wang Yundong
YYYating Yang
Yating Yang
JSJingling Song
Jingling Song
CZChenghao Zhang
Chenghao Zhang
To address issues in traditional vegetable transplanter planting mechanisms such as poor hole-forming quality and low seedling uprightness, a seven-bar linkage planting mechanism with posture compensation of seedling entering soil was designed. By establishing a mathematical model of the planting mechanism and developing visual auxiliary optimization software, the optimal mechanism parameters for the best planting trajectory were determined. A DEM–MBD (Discrete Element Method and Multibody Dynamics) coupling simulation model of planting mechanism-soil-seedlings was established. The planting frequency, opening width, and opening time of the planter were used as factors, and the soil backflow and seedling uprightness were used as evaluation indicators. A quadratic regression orthogonal rotation combination simulation test was carried out. The regression model was established using Design-Expert 12.0 software to analyze the influence of various factors on the indicators. Response surface methodology was simultaneously applied for comprehensive optimization of the influencing factors. The optimal parameter combination obtained was as follows: planting frequency 57 plants/min, opening width 48.5 mm, opening time 0.76 s, corresponding to a soil backflow of 0.67 and seedling uprightness of 80.35°. Field tests were conducted to verify the following mechanism: the soil backflow was 0.64, and the seedling uprightness was 78.49°, which were 4.47% and 2.31% different from the regression model optimization results, respectively. The error variation was small, indicating that the simulation results were effective and the mechanism design was reasonable. This study provides a reference for the development of high-quality and efficient vegetable transplanters.