Yield Monitoring Service with Time Series Representation of Growth from Crop Images

Seungtaek Oh, Sung Kyeom Kim, Jaewon Moon, Seungwook Choi, Soonho Lee, Seungwoo Kum, Hyun Kwon Suh

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

1 Scopus citations

Abstract

Due to the development of ICT technology and the explosion of data, various technologies such as smart farms and smart greenhouses have been applied to the agricultural sector, helping farmers a lot. This paper aims to process and utilize crop image datasets collected periodically from a strawberry greenhouse cultivation environment to analyze and monitor crop growth and yields. In addition to the time-series data collected by measuring environmental variables such as temperature, humidity, light intensity, and carbon dioxide concentration, growth-related data are needed to monitor fruit growth and predict yield. Rail cameras were installed on the testbed to collect image data on strawberry every certain time in a specific section, and to construct a time-series image dataset by detecting objects for each stage of strawberry growth. Due to the characteristics of strawberries, we represented the crop images into growth monitoring data applied to the entire fruit of the testbed or crop clusters, not to each fruit. In addition, it can be useful for various use cases if the represented growth-related time series data and sensor data are properly used together.

Original languageEnglish
Title of host publicationICTC 2023 - 14th International Conference on Information and Communication Technology Convergence
Subtitle of host publicationExploring the Frontiers of ICT Innovation
PublisherIEEE Computer Society
Pages1755-1758
Number of pages4
ISBN (Electronic)9798350313277
DOIs
StatePublished - 2023
Event14th International Conference on Information and Communication Technology Convergence, ICTC 2023 - Jeju Island, Korea, Republic of
Duration: 11 Oct 202313 Oct 2023

Publication series

NameInternational Conference on ICT Convergence
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference14th International Conference on Information and Communication Technology Convergence, ICTC 2023
Country/TerritoryKorea, Republic of
CityJeju Island
Period11/10/2313/10/23

Keywords

  • Crop monitoring
  • Data preparation
  • Object detection
  • Precise farming
  • Smart Farm
  • Time-series data
  • Yield monitoring

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