Bok Choy Growth Monitoring Using IoT Technology and a Recurrent Segmentation Model

Chenchen Kang, Xinyang Mu, Aline Novaski Seffrin, Francesco Di Gioia, Long He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Hydroponics is a subset of hydroculture for growing plants without soil but by using water-based mineral nutrient solutions in a controlled environment. Traditionally, crop monitoring in hydroponics is carried out manually, which makes it unfeasible to frequently collect data to represent the dynamics of plant growth during the growing period. This study developed an integrated IoT and computer vision system specifically tailored for Controlled Environment Agriculture (CEA) systems, enabling continuous monitoring and analysis of plant growth. The core innovation of this research is the implementation of a recurrent image segmentation model that processes sequential image data to accurately track temporal changes in plant development. This vision system is supported by an IoT framework designed to capture high-resolution imagery at predetermined temporal frequencies. Applied to bok choy, this integrated system successfully segments individual plants and tracks leaf coverage area throughout their growth cycle. The quantitative analysis of Intersection over Union (IoU) scores among the segmentation approaches shows that the recurrent model begins with an IoU score of 0.986 during the early growth stages and maintains a robust performance, achieving a score of 0.893 at later stages. The findings demonstrate that this approach significantly enhances the precision of monitoring practices and facilitates effective decision-making for nutrient management and growth optimization in CEA systems.

Original languageEnglish (US)
Title of host publication2024 ASABE Annual International Meeting
PublisherAmerican Society of Agricultural and Biological Engineers
ISBN (Electronic)9798331302214
DOIs
StatePublished - 2024
Event2024 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2024 - Anaheim, United States
Duration: Jul 28 2024Jul 31 2024

Publication series

Name2024 ASABE Annual International Meeting

Conference

Conference2024 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2024
Country/TerritoryUnited States
CityAnaheim
Period7/28/247/31/24

All Science Journal Classification (ASJC) codes

  • Agronomy and Crop Science
  • Bioengineering

Fingerprint

Dive into the research topics of 'Bok Choy Growth Monitoring Using IoT Technology and a Recurrent Segmentation Model'. Together they form a unique fingerprint.

Cite this