Steve Shirtliffe

Steve Shirtliffe

University of Saskatchewan

H-index: 29

North America-Canada

About Steve Shirtliffe

Steve Shirtliffe, With an exceptional h-index of 29 and a recent h-index of 22 (since 2020), a distinguished researcher at University of Saskatchewan, specializes in the field of digital agriculture, agronomy, crop phenotyping, precision agriculture, cultural weed control.

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

Machine learning approach for satellite-based subfield canola yield prediction using floral phenology metrics and soil parameters

Revisiting cropping systems research: An ecological framework towards long-term weed management

The evaluation of secondary seed dormancy potentials of spring Brassica napus L. genotypes and the relationship with seed germination, vigor, and seed quality …

Weed Mapping with Convolutional Neural Networks on High Resolution Whole-Field Images

Physiological and Digital Phenotyping of Drought Tolerance in Brassica Crops

Utilization of hyperspectral imaging to characterize herbicide phytotoxicity in oat and mustard

Changing how agronomic trials are conducted: modulated on farm response surface experiments (MORSE)

Species Choice Influences Weed Suppression, N Sharing and Crop Productivity in Oilseed Rape–Legume Intercrops

Steve Shirtliffe Information

University

Position

Professor Department of Plant Sciences

Citations(all)

2963

Citations(since 2020)

1307

Cited By

2210

hIndex(all)

29

hIndex(since 2020)

22

i10Index(all)

62

i10Index(since 2020)

47

Email

University Profile Page

University of Saskatchewan

Google Scholar

View Google Scholar Profile

Steve Shirtliffe Skills & Research Interests

digital agriculture

agronomy

crop phenotyping

precision agriculture

cultural weed control

Top articles of Steve Shirtliffe

Title

Journal

Author(s)

Publication Date

Machine learning approach for satellite-based subfield canola yield prediction using floral phenology metrics and soil parameters

Precision Agriculture

Hansanee Fernando

Thuan Ha

Kwabena Abrefa Nketia

Anjika Attanayake

Steven Shirtliffe

2024/3/21

Revisiting cropping systems research: An ecological framework towards long-term weed management

Dilshan I Benaragama

Christian J Willenborg

Steve J Shirtliffe

Rob H Gulden

2024/1/1

The evaluation of secondary seed dormancy potentials of spring Brassica napus L. genotypes and the relationship with seed germination, vigor, and seed quality …

Crop Science

Caroline H Brown

Robert H Gulden

Steven J Shirtliffe

Sally L Vail

2024/4/7

Weed Mapping with Convolutional Neural Networks on High Resolution Whole-Field Images

Yuemin Wang

Thuan Ha

Kathryn Aldridge

Hema Duddu

Steve Shirtliffe

...

2023

Physiological and Digital Phenotyping of Drought Tolerance in Brassica Crops

Authorea Preprints

Lakma Rathuge

Christina Eynck

Hema Duddu

Isobel Parkin

Steve Shirtliffe

2023/10/18

Utilization of hyperspectral imaging to characterize herbicide phytotoxicity in oat and mustard

Prabahar Ravichandran

Keshav D Singh

Charles M Geddes

Breanne Tidemann

Eric Johnson

...

2023/7/25

Changing how agronomic trials are conducted: modulated on farm response surface experiments (MORSE)

AU Attanayake

J Lledyl

EJ Johnson

S Campbell

SJ Shirtliffe

2023/7/2

Species Choice Influences Weed Suppression, N Sharing and Crop Productivity in Oilseed Rape–Legume Intercrops

Agronomy

Elana Dayoub

Guillaume Piva

Steven J Shirtliffe

Joëlle Fustec

Guénaëlle Corre-Hellou

...

2022/9/15

Quantifying hail damage in crops using sentinel-2 imagery

Remote Sensing

Thuan Ha

Yanben Shen

Hema Duddu

Eric Johnson

Steven J Shirtliffe

2022/2/16

A review of the genetic, physiological, and agronomic factors influencing secondary dormancy levels and seed vigour in Brassica napus L.

Caroline H Brown

Rob H Gulden

Steve J Shirtliffe

Sally L Vail

2022/12/8

High-Resolution Flowering Index for Canola Yield Modelling

Remote Sensing

Hansanee Fernando

Thuan Ha

Anjika Attanayake

Dilshan Benaragama

Kwabena Abrefa Nketia

...

2022/9/7

Proximal and remote sensing based imaging technology to quantify herbicide responses in field crops

K Singh

C Geddes

E Johnson

B Tidemann

S Shirtliffe

...

2022/11/1

A semi‐automatic workflow for plot boundary extraction of irregularly sized and spaced field plots from UAV imagery

The Plant Phenome Journal

Thuan Ha

Hema Duddu

Albert Vandenberg

Steve Shirtliffe

2022

Canola Yield Simulation through Digitalized Flower Number Using High-Resolution UAV-RGB Imagery

Authorea Preprints

Hansanee Fernando

Thuan Ha

Hema Duddu

Anjika Attanayake

Kanmi-Obembe Olakorede

...

2022/11/30

UAV Image-Based Crop Growth Analysis of 3D-Reconstructed Crop Canopies

Plants

Karsten ME Nielsen

Hema SN Duddu

Kirstin E Bett

Steve J Shirtliffe

2022/10/12

Evaluation of yield and agronomic performance of leafed and semi‐leafless pea blends

Agronomy Journal

Yanben Shen

Eric N Johnson

Lena D Syrovy

Thomas D Warkentin

De Silva Devini

...

2022/9

Image-based remote approach of Canola yield modelling with cumulative temporal ground cover for precision agronomy

Authorea Preprints

Steve Shirtliffe

Eric Johnson

Hema Duddu

2022/11/24

NAPPN Annual Conference Abstract: Dissecting lentil crop growth across multi-environment trials using unoccupied aerial vehicles

Sandesh Neupane

Derek M Wright

Tania Gioia

Steve Shirtliffe

Kirstin Bett

2022/10/5

Optimizing Seeding Ratio for Semi-Leafless and Leafed Pea Mixture with Precise UAV Quantification of Crop Lodging

Agronomy

Yanben Shen

Lena D Syrovy

Eric N Johnson

Thomas D Warkentin

Thuan Ha

...

2022/6/26

Multi-Horizon Predictive Soil Mapping of Historical Soil Properties Using Remote Sensing Imagery

Remote Sensing

Preston T Sorenson

Jeremy Kiss

Angela K Bedard-Haughn

Steve Shirtliffe

2022/11/17

See List of Professors in Steve Shirtliffe University(University of Saskatchewan)