Alimohammad Shirzadifar

Dalhousie University — Canada

Agricultural and Biological Sciences · Life Sciences

8h-index437citations25works1.42yr avg
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Research Topics

Smart Agriculture and AI(10), Remote Sensing in Agriculture(7), Genetic and phenotypic traits in livestock(4), Advanced Cellulose Research Studies(4), Land Use and Ecosystem Services(3)

Publications25 total

A three-wavelength spectral approach for automated detection of chilling damage and juice content in oranges
Smart Agricultural Technology·2026Open Access
Development of a Large-Scale Machine Vision System and Synchronization with Optimized Nozzle Control for Spot Application on Colorado Potato Beetle
Lecture notes in civil engineering·2026
Pipeline to detect Colorado Potato Beetles as tiny objects under field conditions in real-time using deep learning and transfer learning techniques
Smart Agricultural Technology·2025Open Access
Real-time weight estimation of Zucchini using laser-based 3D matrix and deep learning
Measurement·2025· 2 cited
Early season dominant weed mapping in maize field using unmanned aerial vehicle (UAV) imagery: Towards developing prescription map
Smart Agricultural Technology·2025· 5 citedOpen Access
Early Season Dominant Weed Mapping in Maize Field Using Unmanned Aerial Vehicle (Uav) Imagery: Towards Developing Prescription Map
SSRN Electronic Journal·2025Open Access
Prediction of growth and feed efficiency in mink using machine learning algorithms
animal·2024· 3 citedOpen Access
A machine learning approach to predict the most and the least feed–efficient groups in beef cattle
Smart Agricultural Technology·2023· 8 citedOpen Access
Development of robust communication algorithm between machine vision and boom sprayer for spot application via ISO 11783
Smart Agricultural Technology·2023· 7 citedOpen Access
397. A machine learning approach for predicting the most and the least feed-efficient groups in beef cattle
2022
396. A machine learning approach to classify high and low feed efficient or grower mink
2022
Applying Machine Learning Algorithms for the Classification of Mink Infected with Aleutian Disease Using Different Data Sources
Animals·2022· 4 citedOpen Access
Hybrid nanocomposite packaging films from cellulose nanocrystals, zinc sulfide quantum dots reinforced polylactic acid with fluorescent and antibacterial properties
Polymer Engineering and Science·2022· 22 cited
Development of Robust Communication Algorithm between Machine Vision and Boom Sprayer for Spot Application Via Iso11783
SSRN Electronic Journal·2022· 2 citedOpen Access
Robust and porous 3D-printed multifunctional hydrogels for efficient removal of cationic and anionic dyes from aqueous solution
Microporous and Mesoporous Materials·2021· 23 cited
Chapter 11. Additive Manufacturing of Nanocellulose-based Soft Composite Materials for Advanced Applications
2021· 2 cited
Mapping crop stand count and planting uniformity using high resolution imagery in a maize crop
Biosystems Engineering·2020· 51 cited
Field identification of weed species and glyphosate-resistant weeds using high resolution imagery in early growing season
Biosystems Engineering·2020· 36 cited
Development of spectral indices for identifying glyphosate-resistant weeds
Computers and Electronics in Agriculture·2020· 36 cited
Field identification of weed species and glyphosate-resistant weeds using high resolution imagery in early growing season
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
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Frequent Co-authors

Sreekala G. Bajwa(7), Jamileh Shojaeiarani(6), John Nowatzki(5), Younes Miar(5), Ghader Manafiazar(5), Dilpreet S. Bajwa(4), Ahmad Al-Mallahi(4), Duy Ngoc(3), Pourya Davoudi(3), Aliasghar Bazrafkan(2), Graham Plastow(2), J. A. Basarab(2), Carolyn Fitzsimmons(2), Mohammad Riazi(2), Manoj Natarajan(2), Ghazal Shafiee Sarvestani(2), Mohsen Edalat(2), Hamid Reza Pourghasemi(2), Seyed Ahmad Mireei(1), Kirk Howatt(1)