3D Gaussian Splatting for Agricultural Phenotyping: A Feasibility Study on Crop Morphology Reconstruction

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

High-throughput crop phenotyping plays a vital role in precision agriculture, particularly in addressing critical challenges such as yield improvement. However, existing methods face a persistent dilemma between accuracy and cost. While multi-view RGB-D systems like Pheno4D achieve sub-millimeter precision, their reliance on expensive camera arrays (approximately $100,000) and offline processing severely limits field deployment. The 3D Gaussian Splatting (3D-GS) technique, known for its real-time radiance field rendering capabilities, has been widely adopted in medical imaging and urban scene reconstruction. Nevertheless, its application to agricultural phenotyping remains unexplored. This study systematically validates the potential of 3D-GS for crop phenotyping through targeted experiments.

Original languageEnglish
Title of host publication2025 IEEE 20th Conference on Industrial Electronics and Applications, ICIEA 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331524036
DOIs
StatePublished - 2025
Event20th IEEE Conference on Industrial Electronics and Applications, ICIEA 2025 - Yantai, China
Duration: 3 Aug 20256 Aug 2025

Publication series

Name2025 IEEE 20th Conference on Industrial Electronics and Applications, ICIEA 2025

Conference

Conference20th IEEE Conference on Industrial Electronics and Applications, ICIEA 2025
Country/TerritoryChina
CityYantai
Period3/08/256/08/25

Keywords

  • 3D Gaussian Splatting
  • Crop Phenotyping
  • Precision Agriculture
  • Real-Time Reconstruction

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