Estimation of Fruit Load in Australian Mango Orchards Using Machine Vision

Estimation of Fruit Load in Australian Mango Orchards Using Machine Vision

The performance of a multi-view machine vision method was documented at an orchard level, relative to packhouse count. High repeatability was achieved in night-time imaging, with an absolute percentage error of 2% or less. Canopy architecture impacted performance, with reasonable estimates achieved...

Full description

Bibliographic Details
Main Authors: Nicholas Todd Anderson, Kerry Brian Walsh, Anand Koirala, Zhenglin Wang, Marcelo Henrique Amaral, Geoff Robert Dickinson, Priyakant Sinha, Andrew James Robson
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Agronomy
Subjects:
deep learning
fruit-culture
fruit load
precision horticulture
machine vision
prediction quantification
Online Access:https://www.mdpi.com/2073-4395/11/9/1711

Internet

https://www.mdpi.com/2073-4395/11/9/1711

Similar Items