Articles
Fruit sizing in-field using a mobile app
Article number
1244_20
Pages
129 – 136
Language
English
Abstract
A mobile device based application was developed for manual in-field fruit sizing of mango (Mangifera indica) using machine vision.
Fruit on tree were imaged against a hand-held A4 blue background with a scale included, with segmentation of fruit and scale using the b* value of CIE L*a*b* colour space.
To correct for depth of field difference between the background and the fruit, the distance between camera and background was estimated using a pin-hole camera model, and the half thickness of the fruit was estimated from allometrics with fruit length and width.
RMSE of 3.7 mm on length and 3.6 mm on width was achieved.
Fruit allometrics were also used to convert lineal estimates to fruit weight, with a RMSE of 65.9 g achieved.
Fruit on tree were imaged against a hand-held A4 blue background with a scale included, with segmentation of fruit and scale using the b* value of CIE L*a*b* colour space.
To correct for depth of field difference between the background and the fruit, the distance between camera and background was estimated using a pin-hole camera model, and the half thickness of the fruit was estimated from allometrics with fruit length and width.
RMSE of 3.7 mm on length and 3.6 mm on width was achieved.
Fruit allometrics were also used to convert lineal estimates to fruit weight, with a RMSE of 65.9 g achieved.
Publication
Authors
A. Koirala, Z. Wang, K.B. Walsh, C. McCarthy
Keywords
fruit size, stalk removal, mobile app, Mangifera indica, fruit segmentation
Groups involved
Online Articles (37)