Ali Moghimi

Ali Moghimi

University of California, Davis

H-index: 10

North America-United States

About Ali Moghimi

Ali Moghimi, With an exceptional h-index of 10 and a recent h-index of 9 (since 2020), a distinguished researcher at University of California, Davis, specializes in the field of Digital Agriculture, Remote Sensing, Hyperspectral Imaging, Artificial Intelligence.

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

A Semi-supervised approach to cluster symptomatic and asymptomatic leaves in root lesion nematode infected walnut trees

Developing an aeroponic smart experimental greenhouse for controlling irrigation and plant disease detection using deep learning and IoT

Spray Backstop: A Method to Reduce Orchard Spray Drift Potential without Limiting the Spray and Air Delivery

A Novel Machine Learning Approach to Estimate Grapevine Leaf Nitrogen Concentration Using Aerial Multispectral Imagery

Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape Leaves

Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat

UAV-based hyperspectral dataset for high-throughput yield phenotyping in wheat

Ali Moghimi Information

University

Position

___

Citations(all)

664

Citations(since 2020)

505

Cited By

304

hIndex(all)

10

hIndex(since 2020)

9

i10Index(all)

11

i10Index(since 2020)

7

Email

University Profile Page

University of California, Davis

Google Scholar

View Google Scholar Profile

Ali Moghimi Skills & Research Interests

Digital Agriculture

Remote Sensing

Hyperspectral Imaging

Artificial Intelligence

Top articles of Ali Moghimi

Title

Journal

Author(s)

Publication Date

A Semi-supervised approach to cluster symptomatic and asymptomatic leaves in root lesion nematode infected walnut trees

Computers and Electronics in Agriculture

Ryan Omidi

Alireza Pourreza

Ali Moghimi

German Zuniga-Ramirez

Hamid Jafarbiglu

...

2022/3/1

Developing an aeroponic smart experimental greenhouse for controlling irrigation and plant disease detection using deep learning and IoT

Mohammadreza Narimani

Ali Hajiahmad

Ali Moghimi

Reza Alimardani

Shahin Rafiee

...

2021

Spray Backstop: A Method to Reduce Orchard Spray Drift Potential without Limiting the Spray and Air Delivery

Sustainability

Alireza Pourreza

Ali Moghimi

Franz JA Niederholzer

Peter A Larbi

German Zuniga-Ramirez

...

2020/10/26

A Novel Machine Learning Approach to Estimate Grapevine Leaf Nitrogen Concentration Using Aerial Multispectral Imagery

Remote Sensing

Ali Moghimi

Alireza Pourreza

German Zuniga-Ramirez

Larry E Williams

Matthew W Fidelibus

2020/10/26

Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape Leaves

Ryan Omidi

Ali Moghimi

Alireza Pourreza

Mohamed El-Hadedy

Anas Salah Eddin

2020/12/14

Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat

Computers and Electronics in Agriculture

Ali Moghimi

Ce Yang

James A Anderson

2020/5/1

UAV-based hyperspectral dataset for high-throughput yield phenotyping in wheat

Ali Moghimi

Ce Yang

James A. Anderson

2020

See List of Professors in Ali Moghimi University(University of California, Davis)