A Mobile Application for Tree Classification and Canopy Calculation using Machine Learning

被引：9

作者：

Wang, Kangyi ^{[1
]}

Jia, Yunjie ^{[1
]}

Huo, Ruixi ^{[1
]}

Sinnott, Richard ^{[1
]}

机构：

[1] Univ Melbourne, Melbourne, Vic, Australia

来源：

2019 IEEE 1ST INTERNATIONAL WORKSHOP ON ARTIFICIAL INTELLIGENCE FOR MOBILE (AI4MOBILE '19) | 2019年

关键词：

iOS; machine learning; classification; object detection; image processing; tree;

D O I：

10.1109/ai4mobile.2019.8672699

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a novel application of machine learning through a mobile application that is used to address the requirements of hobby horticulturists through to the agricultural industry. Specifically, many large-scale farms such as fruit growers require information on the amount of chemicals, e.g. pesticides, to use on their crops. Hitherto, this is based on approximate estimates of the size of their fruit trees, where size here equates to the volume of their canopy and hence the amount of leaves that need to be sprayed. In this paper we present an approach to overcome such approximate measures through the development of a mobile phone-based application used to calculate the volume more accurately. For the hobby horticulturalist, the type of tree is also established using photographs of the tree and leaves.

引用

页码：1 / 6

页数：6