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Plant ID - Identify Plants

Plant ID - Identify Plants

JG Applications Ltd

Utilities免费v1.3.2
App Store
评分

4.6

590 条评分

星级

★★★★★

最近更新

2025年6月23日

发布日期

2021年1月6日

更新内容

v1.3.2

- Performance enhancements - Bug fixes

应用信息

开发者
JG Applications Ltd
分类
Utilities
价格
免费
版本
1.3.2
App ID
1508899687

简介

Plant ID allows you to identify plants, flowers, leaves, trees and herbs quickly and accurately. All you have to do is point your camera, take a picture and our artificial intelligence will tell you what the plant is in seconds using its cutting edge plant identification techniques! You will be free from not knowing the names of the plants around you! Our app will also show you additional useful information about the plants around you. All identified plants include similar images, plant description, other names and scientific classifications. The machine learning model we use can identify over 10,000+ plant species with an accuracy of 98%. This covers the most commonly requested plants from the United States, Europe, India, and Australia. Even if we can’t identify the plant, you can let us know so our AI neural networks can learn more. Top features: - Identify 10,000+ species of plants, flowers, and tress - Learn about the plants around you include similar plants, other names and scientific classification - Point your camera to scan a plant and our app will tell you everything you need to know about that plant - Store all of your identified plants in a simple to use user interface - Be inspired by similar plants and suggestions - Understand how to care for your plants and how you can use plant care to improve your garden - Learn about diseases and weeds that can affect your plants Please note: Plant ID Pro is an auto-renewable subscription. Please see our terms and conditions at https://jgapplications.com/tos. The subscription lasts for 1-week and then auto-news unless cancelled.

下载量预测

专业 · 预览

预估总下载量

59K39K118K
保守估计乐观估计

605

低 / 月

908

预估 / 月

2K

高 / 月

基于590 条评分
假设评分率1.0%
应用年龄65 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。