Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-15
A
Avisekh Tripathy
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Graduate Student Researcher
2 pubs
Research Areas
Biography and Research Information
OverviewAI-generated summary
Avisekh Tripathy's research focuses on the application of multispectral sensing technologies for environmental assessment. He has co-authored publications investigating the feasibility of utilizing low-cost multispectral sensors for classifying woody breast severity in agricultural contexts. This work involves assessing the effectiveness of these technologies in identifying and quantifying specific plant health indicators. Tripathy collaborates with researchers at the University of Arkansas at Fayetteville, including Amirreza Davar and Pouya Sohrabipour, with whom he has co-authored multiple publications. His recent work, published in 2026, highlights his continued engagement in this field.
Metrics
- Publications: 2
Selected Publications
-
Assessing the feasibility of low-cost multispectral sensing for woody breast severity classification (2026)
-
Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification (2026)
Collaboration Network
Top Collaborators
Pouya Sohrabipour
University of Arkansas at Fayetteville
2 shared publications
In database
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
Amirreza Davar
University of Arkansas at Fayetteville
2 shared publications
In database
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
Philip G. Crandall
University of Arkansas at Fayetteville
2 shared publications
In database
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
Dongyi Wang
University of Arkansas at Fayetteville
2 shared publications
In database
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
Chaitanya Pallerla
University of Arkansas at Fayetteville
1 shared publication
In database
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
Yihong Feng
University of Arkansas at Fayetteville
1 shared publication
In database
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
Yang Tian
University of Arkansas at Fayetteville
1 shared publication
In database
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
Casey Owens
University of Arkansas at Fayetteville
1 shared publication
In database
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
Jeyamkondan Subbiah
University of Arkansas at Fayetteville
1 shared publication
In database
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
Chaitanya Pallerla
University of Arkansas at Fayetteville
1 shared publication
In database
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
Yihong Feng
University of Arkansas at Fayetteville
1 shared publication
In database
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
Yang Tian
University of Arkansas at Fayetteville
1 shared publication
In database
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
C.M. Owens
University of Arkansas at Fayetteville
1 shared publication
In database
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
Jeyamkondan Subbiah
University of Arkansas at Fayetteville
1 shared publication
In database
- Assessing the Feasibility of Low-Cost Multispectral Sensing for Woody Breast Severity Classification
Similar Researchers
Based on overlapping research topics
A Hawkins
University of Arkansas at Pine Bluff
Remote Sensing in Agriculture
Plant Physiology and Cultivation Studies
Agronomic Practices and Intercropping Systems
E. Russell
Arkansas Agricultural Experiment Station
Remote Sensing in Agriculture
Plant Physiology and Cultivation Studies
Agronomic Practices and Intercropping Systems
J. Grané
Arkansas Agricultural Experiment Station
Remote Sensing in Agriculture
Plant Physiology and Cultivation Studies
Agronomic Practices and Intercropping Systems
Jason Holland
Harding University Main Campus
Plant Physiology and Cultivation Studies
Agronomic Practices and Intercropping Systems
Plant Stress Responses and Tolerance
Lettie Hattabaugh
Hendrix College
Plant Physiology and Cultivation Studies
Agronomic Practices and Intercropping Systems
Plant Stress Responses and Tolerance
Justin O. Wallace
Arkansas Agricultural Experiment Station
Plant Physiology and Cultivation Studies
Agronomic Practices and Intercropping Systems
Plant Stress Responses and Tolerance