Arash Toudeshki

Arash Toudeshki

University of California, Merced

H-index: 16

North America-United States

About Arash Toudeshki

Arash Toudeshki, With an exceptional h-index of 16 and a recent h-index of 14 (since 2020), a distinguished researcher at University of California, Merced, specializes in the field of Electrical Power Engineering, Power Conversion, Power Grids, Sensor Design, Mechanical Harvesting.

His recent articles reflect a diverse array of research interests and contributions to the field:

Robustness improvement of optimal control in terms of RBFNN with empirical model reduction and transfer learning

Evaluation of Neural Network Effectiveness on Sliding Mode Control of Delta Robot for Trajectory Tracking

Developing a Data-Driven Model for Predicting Water Stress in Pistachio Trees

Data-Driven Inverse Kinematics Approximation of a Delta Robot with Stepper Motors

Simultaneous Trunk and Canopy Shaking Improves Table Olive Harvester Efficiency versus Trunk Shaking Alone

Yield estimation of citrus fruit using rapid image processing in natural background

Estimation of proper shaking parameters for pistachio trees based on their trunk size

An experimental study and mathematical modeling of vibration transfer in pistachio trees using an inertia-type trunk shaker and field-adapted wireless sensors

Arash Toudeshki Information

University

Position

Associate Specialist

Citations(all)

1240

Citations(since 2020)

930

Cited By

590

hIndex(all)

16

hIndex(since 2020)

14

i10Index(all)

22

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Arash Toudeshki Skills & Research Interests

Electrical Power Engineering

Power Conversion

Power Grids

Sensor Design

Mechanical Harvesting

Top articles of Arash Toudeshki

Robustness improvement of optimal control in terms of RBFNN with empirical model reduction and transfer learning

International Journal of Control

2024/3/19

Evaluation of Neural Network Effectiveness on Sliding Mode Control of Delta Robot for Trajectory Tracking

Algorithms

2024/3/8

Developing a Data-Driven Model for Predicting Water Stress in Pistachio Trees

2023/10/29

Data-Driven Inverse Kinematics Approximation of a Delta Robot with Stepper Motors

Robotics

2023/9/30

Simultaneous Trunk and Canopy Shaking Improves Table Olive Harvester Efficiency versus Trunk Shaking Alone

Horticulturae

2023/5/30

Yield estimation of citrus fruit using rapid image processing in natural background

Smart Agricultural Technology

2022/12/1

Estimation of proper shaking parameters for pistachio trees based on their trunk size

Biosystems Engineering

2022/4/1

An experimental study and mathematical modeling of vibration transfer in pistachio trees using an inertia-type trunk shaker and field-adapted wireless sensors

Shock and Vibration

2022/2/27

Mechanical harvesting of selected temperate and tropical fruit and nut trees

2022/2/3

Detecting tree water stress using a trunk relative water content measurement sensor

Smart Agricultural Technology

2021/12/1

Potential of ozonated-air (OA) application to reduce the weight and volume loss in fresh figs (Ficus carica L.)

Postharvest Biology and Technology

2021/10/1

Photovoltaic modules evaluation and dry-season energy yield prediction model for NEM in Malaysia

Plos one

2020/11/12

Terahertz spectroscopy and imaging: A review on agricultural applications

2020/10/1

See List of Professors in Arash Toudeshki University(University of California, Merced)

Co-Authors

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