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Development of a fruit size estimation method using Mask RCNN for water stress estimation in Satsuma mandarin trees.

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اقرأ على الانترنت اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • المصدر:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: San Francisco, CA : Public Library of Science
    • الموضوع:
      Fruit*/growth & development ; Fruit*/anatomy & histology ; Citrus*/growth & development ; Citrus*/physiology ; Citrus*/anatomy & histology ; Trees*/growth & development; Agricultural Irrigation/methods ; Water/metabolism ; Smartphone ; Dehydration ; Stress, Physiological
    • نبذة مختصرة :
      Satsuma mandarins can produce high-sugar fruits through effective water stress management during the summer and fall seasons. Estimating water stress is crucial as it allows for precise irrigation management, directly impacting fruit quality and yield. In recent years, the development of automatic irrigation technology has increased the demand for methods to obtain digital data on water stress and related data. This study presents a smartphone-based fruit size estimation method that leverages the correlation between fruit growth and tree water stress. The developed method combined Mask RCNN and a regression model. The coefficients of determination between actual and estimated fruit diameters, between fruit growth and water stress, and between measured diameter and water stress were 0.988, 0.7789, and 0.7349, respectively. This study's method of accurately estimating fruit diameter using smartphone technology can be integrated with irrigation systems to optimize water usage based on real-time assessments of fruit development and water stress.
      (Copyright: © 2025 Komiya et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
    • نبذة مختصرة :
      No conflicts of interest were identified in submitting this paper to PLOS ONE.
    • References:
      Nature. 2020 Sep;585(7825):357-362. (PMID: 32939066)
      Nat Methods. 2020 Mar;17(3):261-272. (PMID: 32015543)
      Science. 1965 Apr 16;148(3668):339-46. (PMID: 17832103)
      Sensors (Basel). 2017 Nov 28;17(12):. (PMID: 29182534)
      Sensors (Basel). 2018 Oct 05;18(10):. (PMID: 30301141)
    • الرقم المعرف:
      059QF0KO0R (Water)
    • الموضوع:
      Date Created: 20250711 Date Completed: 20250711 Latest Revision: 20250713
    • الموضوع:
      20260130
    • الرقم المعرف:
      PMC12250200
    • الرقم المعرف:
      10.1371/journal.pone.0324278
    • الرقم المعرف:
      40644494