Measurement of Fruit Diameter Using RGB‐D Cameras for the Purpose of Fruit Growth Assessment

ABSTRACT This article describes a method for measuring the diameter of fruits with a near spherical shape using an RGB‐D camera in order to investigate fruit enlargement at different times of the year. In general, depth‐based measurement methods, when considering the diameter of an object with a near‐spherical shape, the diameter can be calculated by obtaining the Euclidean distance from the coordinates of the object's sides or by using the depth at the center of the object and the size of the object on the RGB image. However, it is difficult to accurately determine the diameter of an object because of errors in the calculated results due to the perspective projection of a general camera. Therefore, this study proposes a method to measure the diameter of fruits that have a shape similar to a sphere. Although this study focuses on young apple fruits, the proposed method can be applied to other agricultural crops, as well as to objects that are similar to spheres. In addition, we have also studied a correction that takes into account the rotation of the object so that the method can be applied to objects with circular cross‐sections.

Authors

Institutions

Publication Details

Journal
Electronics and Communications in Japan
Published
2026-04-06
DOI
https://doi.org/10.1002/ecj.70032
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measurement of Fruit Diameter Using RGB‐D Cameras for the Purpose of Fruit Growth Assessment

Kohji Dohsaka, Masaki Ishii, Teppei Fukuda, Hidekatsu Ito
Electronics and Communications in Japan
Smart Agriculture and AI
article

Measurement of Fruit Diameter Using RGB‐D Cameras for the Purpose of Fruit Growth Assessment

Kohji Dohsaka, Masaki Ishii, Teppei Fukuda, Hidekatsu Ito
article en

Abstract

ABSTRACT This article describes a method for measuring the diameter of fruits with a near spherical shape using an RGB‐D camera in order to investigate fruit enlargement at different times of the year. In general, depth‐based measurement methods, when considering the diameter of an object with a near‐spherical shape, the diameter can be calculated by obtaining the Euclidean distance from the coordinates of the object's sides or by using the depth at the center of the object and the size of the object on the RGB image. However, it is difficult to accurately determine the diameter of an object because of errors in the calculated results due to the perspective projection of a general camera. Therefore, this study proposes a method to measure the diameter of fruits that have a shape similar to a sphere. Although this study focuses on young apple fruits, the proposed method can be applied to other agricultural crops, as well as to objects that are similar to spheres. In addition, we have also studied a correction that takes into account the rotation of the object so that the method can be applied to objects with circular cross‐sections.

Electronics and Communications in Japan
Akita Prefectural University (JP)
Zero hunger
Openalex Percentile: Top 6%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.