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利用Mask RCNN开发一种用于温州蜜柑树水分胁迫估计的果实大小估计方法。

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

作者信息

Komiya Ringo, Iwasaki Mitsunori, Habaragamuwa Harshana, Fukamachi Hiroshi

机构信息

Institute of Fruit Tree and Tea Science, National Agriculture and Food Research Organization, Shizuoka, Japan.

Core Technology Research Headquarters, National Agriculture and Food Research Organization, Tsukuba, Ibaraki, Japan.

出版信息

PLoS One. 2025 Jul 11;20(7):e0324278. doi: 10.1371/journal.pone.0324278. eCollection 2025.

DOI:10.1371/journal.pone.0324278
PMID:40644494
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12250200/
Abstract

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.

摘要

萨摩蜜柑可以通过在夏秋季节进行有效的水分胁迫管理来生产高糖水果。估算水分胁迫至关重要,因为它有助于精确的灌溉管理,直接影响果实品质和产量。近年来,自动灌溉技术的发展增加了对获取水分胁迫数字数据及相关数据方法的需求。本研究提出了一种基于智能手机的果实大小估算方法,该方法利用了果实生长与树木水分胁迫之间的相关性。所开发的方法结合了Mask RCNN和回归模型。实际与估算果实直径之间、果实生长与水分胁迫之间以及测量直径与水分胁迫之间的决定系数分别为0.988、0.7789和0.7349。本研究利用智能手机技术精确估算果实直径的方法可与灌溉系统集成,以便根据对果实发育和水分胁迫的实时评估来优化用水。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/12250200/91f0f4be76b7/pone.0324278.g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/12250200/91f0f4be76b7/pone.0324278.g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/12250200/69a17b3f4876/pone.0324278.g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/12250200/91f0f4be76b7/pone.0324278.g009.jpg

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