Faculty profile
Shangpeng Sun
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a McGill University directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Plant Phenomics-the unrecognized rise of a scientific discipline.
Trends in plant science · 2026
Integration of X-Ray CT, Sensor Fusion, and Machine Learning for Advanced Modeling of Preharvest Apple Growth Dynamics.
Sensors (Basel, Switzerland) · 2026
Predictive modeling, pattern recognition, and spatiotemporal representations of plant growth in simulated and controlled environments: A comprehensive review.
Plant phenomics (Washington, D.C.) · 2025
Latest funding
- $25,000
Integrating 3D Leaf-to-Canopy Surface Temperature for Enhanced Microclimate Modeling in Controlled Environment Agriculture
NSERC · 2024 · Principal investigator
- $140,993
Determination of food safety, quality and authenticity using X-Ray fluorescence spectroscopy
NSERC · 2023 · Co-investigator
- $154,103
Leveraging discoveries from dry bean intercross populations to enhance dry bean breeding program efficiency for greater yields
NSERC · 2023 · Principal investigator
6 publications.
Plant Phenomics-the unrecognized rise of a scientific discipline.
Bucksch A, Chung YS, Clarke JL, Gerth S, von Gillhaussen P, Guo W, Kholová J, Pariyar S, Pickering E, Sankaran S, Shafiee S, Cervantes-Perez SA, Dhondt S, Han Z, Hossain K, LaVoy W, Lynch JP, Negrão S, Pridmore T, Schneider H, Schwartz S, Stavness I, Sun S, Vadez V, West L, van de Zedde R
Integration of X-Ray CT, Sensor Fusion, and Machine Learning for Advanced Modeling of Preharvest Apple Growth Dynamics.
Wang W, Mengoli D, Sun S, Manfrini L
Predictive modeling, pattern recognition, and spatiotemporal representations of plant growth in simulated and controlled environments: A comprehensive review.
Debbagh M, Sun S, Lefsrud M
Toward Real Scenery: A Lightweight Tomato Growth Inspection Algorithm for Leaf Disease Detection and Fruit Counting.
Kang R, Huang J, Zhou X, Ren N, Sun S
Eff-3DPSeg: 3D Organ-Level Plant Shoot Segmentation Using Annotation-Efficient Deep Learning.
Luo L, Jiang X, Yang Y, Samy ERA, Lefsrud M, Hoyos-Villegas V, Sun S
Cotton plant part 3D segmentation and architectural trait extraction using point voxel convolutional neural networks.
Saeed F, Sun S, Rodriguez-Sanchez J, Snider J, Liu T, Li C
Integrating 3D Leaf-to-Canopy Surface Temperature for Enhanced Microclimate Modeling in Controlled Environment Agriculture
Principal investigators: Sun, Shangpeng S
Keywords: 3d plant surface temperature; computer vision; controlled environment agriculture; decision making; deep learning; microclimate modeling; rgb-thermal point cloud; sensor fusion
Determination of food safety, quality and authenticity using X-Ray fluorescence spectroscopy
Principal investigators: Lu, Xiaonan
Leveraging discoveries from dry bean intercross populations to enhance dry bean breeding program efficiency for greater yields
Principal investigators: Sun, Shangpeng S
Keywords: deleterious mutations; genomewide association; genomic estimated breeding values; high-density markers; phenomics; plant breeding; pulses; snp genotyping
Improvements to vertical farming, artificial lighting and environmental impact in Canada
Principal investigators: Lefsrud, Mark MG
Keywords: Artificial lighting plant factories; Carbon footprint; CO2 enrichment; Controlled environment agriculture; Fertilizer inputs/nutrient tracking; Leafy greens; Light emitting diodes (LEDs); Plant production; Smart agriculture; Vertical farming
Harnessing AI-powered big data techniques for 3D plant architecture phenotyping and growth pattern modeling
Principal investigators: sun, shangpeng SS
Development of new means for advanced analysis of crop plant shoot architectonics and other phenotype attributes
Principal investigators: Sun, Shangpeng
Development of new means for advanced analysis of crop plant shoot architectonics and other phenotype attributes
Principal investigators: Sun, Shangpeng
Keywords: plant phenotyping; precision agriculture; point cloud; computational plants; convolutional neural network; segmentation; remote sensing
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.