Tree Recognition APP of Mount Tai Based on CNN
Zhihao Cao, Xinxin Zhang

TL;DR
This paper presents a CNN-based mobile app that accurately recognizes common trees in Mount Tai, enhancing tourist experience and understanding of local flora through an easy-to-use Android application.
Contribution
It introduces a novel mobile application utilizing CNN for tree recognition specific to Mount Tai, combining efficient image recognition with practical deployment on Android devices.
Findings
Accurately identifies several common Mount Tai trees.
Provides brief tree introductions for tourists.
Demonstrates CNN's effectiveness in mobile plant recognition.
Abstract
Mount Tai has abundant sunshine, abundant rainfall and favorable climatic conditions, forming dense vegetation with various kinds of trees. In order to make it easier for tourists to understand each tree and experience the culture of Mount Tai, this paper develops an App for tree recognition of Mount Tai based on convolution neural network (CNN), taking advantage of CNN efficient image recognition ability and easy-to-carry characteristics of Android mobile phone. The APP can accurately identify several common trees in Mount Tai, and give a brief introduction for tourists.
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Taxonomy
TopicsRemote Sensing and Land Use · Remote-Sensing Image Classification · Advanced Image Fusion Techniques
MethodsConvolution
