Deep learning - method overview and review of use for fruit detection and yield estimation

Koirala, Anand and Walsh, Kerry B. and Wang, Zhenglin and McCarthy, Cheryl (2019) Deep learning - method overview and review of use for fruit detection and yield estimation. Computers and Electronics in Agriculture, 162. pp. 219-234. ISSN 0168-1669

Abstract

A review of developments in the rapidly developing field of deep learning is presented. Recommendations are made for original contributions to the literature,as opposed to formulaic applications of established methods to new application areas(e.g.,to new crops),including the use of standard metrics(e.g.,F1 score,the harmonic mean between Precision and Recall) for model comparison involving binary classification. A recommendation for the provision and use of publically available fruit-in-orchard image sets is made,to allow method comparisons and for implementation of transfer learning for deep learning models trained on the large public generic datasets. Emphasis is placed on practical aspects for application of deep learning models for the task of fruit detection and localisation,in support of tree crop load estimation. Approaches to the extrapolation of tree image counts to orchard yield estimation a real so reviewed,dealing with the issue of occluded fruit in imaging. The review is intended to assist new users of deep learning image processing techniques, and to influence the direction of the coming body of application work on fruit detection.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Current - Institute for Advanced Engineering and Space Sciences - Centre for Agricultural Engineering
Date Deposited: 23 Aug 2019 01:08
Last Modified: 23 Aug 2019 05:27
Uncontrolled Keywords: precision horticulture, yield estimation, YOLO, machine vision
Fields of Research : 07 Agricultural and Veterinary Sciences > 0706 Horticultural Production > 070605 Post Harvest Horticultural Technologies (incl. Transportation and Storage)
09 Engineering > 0910 Manufacturing Engineering > 091010 Packaging, Storage and Transportation (excl. Food and Agricultural Products)
Socio-Economic Objective: B Economic Development > 82 Plant Production and Plant Primary Products > 8202 Horticultural Crops > 820214 Tropical Fruit
Identification Number or DOI: 10.1016/j.compag.2019.04.017
URI: http://eprints.usq.edu.au/id/eprint/36618

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