Dr. Igathinathane Cannayen

About Dr. Igathinathane Cannayen

Dr. Igathinathane Cannayen, With an exceptional h-index of 35 and a recent h-index of 23 (since 2020), a distinguished researcher at North Dakota State University, specializes in the field of Biomass preprocessing, Agricultural engineering.

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

Energy-based break-even transportation distance of biomass feedstocks

Infield corn kernel detection using image processing, machine learning, and deep learning methodologies under natural lighting

Comprehensive wheat lodging detection after initial lodging using UAV RGB images

Seeding detection and distribution evaluation using the developed automatic maize seeding machine

Hammer milling switchgrass from weathered bales

Forage economics calculator web tool: A decision support system for forage management

Tools for predicting forage growth in rangelands and economic analyses—a systematic review

Machine learning and handcrafted image processing methods for classifying common weeds in corn field

Dr. Igathinathane Cannayen Information

University

Position

___

Citations(all)

3829

Citations(since 2020)

1834

Cited By

2854

hIndex(all)

35

hIndex(since 2020)

23

i10Index(all)

70

i10Index(since 2020)

46

Email

University Profile Page

Google Scholar

Dr. Igathinathane Cannayen Skills & Research Interests

Biomass preprocessing

Agricultural engineering

Top articles of Dr. Igathinathane Cannayen

Title

Journal

Author(s)

Publication Date

Energy-based break-even transportation distance of biomass feedstocks

Frontiers in Energy Research

JS Tumuluru

C Igathinathane

D Archer

R McCulloch

2024/4/2

Infield corn kernel detection using image processing, machine learning, and deep learning methodologies under natural lighting

Expert Systems with Applications

Xiaohang Liu

Zhao Zhang

C Igathinathane

Paulo Flores

Man Zhang

...

2024/3/15

Comprehensive wheat lodging detection after initial lodging using UAV RGB images

Expert Systems with Applications

Afshin Azizi

Zhao Zhang

Zhaoyu Rui

Yunxi Li

C Igathinathane

...

2024/3/15

Seeding detection and distribution evaluation using the developed automatic maize seeding machine

Computers and Electronics in Agriculture

Yunxia Li

Zhao Zhang

Afshin Azizi

Muhammand Hilal Kabir

C Igathinathane

...

2024/5/1

Hammer milling switchgrass from weathered bales

Industrial Crops and Products

LO Pordesimo

C Igathinathane

GA Holt

2023/7/1

Forage economics calculator web tool: A decision support system for forage management

Computers and Electronics in Agriculture

Srinivasagan N Subhashree

C Igathinathane

J Hendrickson

David Archer

M Liebig

...

2023/5/1

Tools for predicting forage growth in rangelands and economic analyses—a systematic review

Srinivasagan N Subhashree

C Igathinathane

Adnan Akyuz

Md Borhan

John Hendrickson

...

2023/2/15

Machine learning and handcrafted image processing methods for classifying common weeds in corn field

Smart Agricultural Technology

Harsh Pathak

C Igathinathane

Kirk Howatt

Zhao Zhang

2023/10/1

Aerial-based weed detection using low-cost and lightweight deep learning models on an edge platform

Nitin Rai

Xin Sun

C Igathinathane

Kirk Howatt

Michael Ostlie

2023

Measuring soybean iron deficiency chlorosis progression and yield prediction with unmanned aerial vehicle

Smart Agricultural Technology

Oveis Hassanijalilian

C Igathinathane

Stephanie Day

Sreekala Bajwa

John Nowatzki

2023/8/1

High fiber fraction DDGS–A functional filler for manufacturing low-density particleboards

Industrial Crops and Products

Sagar Regmi

Dilpreet Bajwa

C Igathinathane

Nurun Nahar

2022/7/1

Time effect after initial wheat lodging on plot lodging ratio detection using UAV imagery and deep learning

Zhao Zhang

Cannayen Igathinathane

Paulo Flores

Yiannis Ampatzidis

Hu Liu

...

2022/5/18

UAV mission height effects on wheat lodging ratio detection

Zhao Zhang

Cannayen Igathinathane

Paulo Flores

Jithin Mathew

Joel Ransom

...

2022/5/18

Enhancing wheat disease diagnosis in a greenhouse using image deep features and parallel feature fusion

Frontiers in Plant Science

Zhao Zhang

Paulo Flores

Andrew Friskop

Zhaohui Liu

C Igathinathane

...

2022/3/10

Potential of Dimensional Measurements of Individual Pellets for Evaluating Feed Pellet Quality

Applied Engineering in Agriculture

Lester O Pordesimo

Igathinathane Cannayen

Basil D Bevans

David P Holzgraefe

2022

A review of unmanned aerial vehicle-based methods for plant stand count evaluation in row crops

Harsh Pathak

C Igathinathane

Z Zhang

David Archer

J Hendrickson

2022/7/1

Identification, quantification, and growth profiling of eight different microalgae species using image analysis

Algal Research

S Sunoj

Ademola Hammed

C Igathinathane

Sulaymon Eshkabilov

Halis Simsek

2021/12/1

Biomass bales infield aggregation logistics energy for tractors and automatic bale pickers—A simulation study

C Igathinathane

M Liebig

J Halvorson

D Archer

J Hendrickson

...

2021

Mechanical Harvest of Fresh Market Apples: Progress Over the Past Decades

Zhao Zhang

Zhaohua Zhang

Cannayen Igathinathane

Yingkuan Wang

Yiannis Ampatzidis

...

2021/11/2

Using aerial imagery coupled with machine learning to assess Goss's Wilt disease severity in field corn

Anup Kumar Das

Andrew Friskop

Paulo Flores

Cannayen Igathinathane

Jithin Jose Mathew

...

2021

See List of Professors in Dr. Igathinathane Cannayen University(North Dakota State University)

Co-Authors

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