4.8
1,660 条评分
★★★★★
2026年5月8日
2024年9月3日
更新内容
v1.0.7Bug fixes and performance improvements
应用信息
- 开发者
- DAMIEN, NATHANAEL ELLEDGE
- 分类
- Education
- 价格
- 免费
- 版本
- 1.0.7
- App ID
- 6670395270
简介
Discover the Ultimate Tree Care Companion! Unleash the power of AI to identify, diagnose, and care for your trees like never before! Whether you’re an experienced arborist or just starting your journey into tree care, our app provides you with the essential tools to keep your trees thriving. Key Features: • Instant Tree Identification: Simply snap a photo or upload an image, and our advanced AI will accurately identify your tree species in seconds. • Comprehensive Diagnosis: Is your tree looking a little under the weather? Use the Diagnose feature to analyze its health and receive actionable care tips. • Personalized Care Guide: Get tailored advice on watering, sunlight, pruning, and more. Our app provides detailed care instructions for each tree in your collection. • Toxicology Check: Ensure the safety of your pets and family by verifying if a tree is toxic or produces harmful substances. • Optimal Light Guidance: Understand the light requirements of your trees to position them perfectly in your garden or landscape. • Water Calculator: Find the perfect balance of hydration for each tree species with our water calculator, tailored to their specific needs. • Tree History Tracking: Monitor your tree’s growth and changes over time with our comprehensive tree history feature. • AI Tree Expert: Have questions? Chat with our AI Tree Expert anytime for instant advice on all things tree-related! Take your tree care to the next level with our intuitive and powerful AI-driven tree care app. Whether you’re identifying a new tree or ensuring your current ones stay healthy and robust, we’ve got you covered! Privacy Policy: https://damien-es-private-organization.gitbook.io/privacy-policy-and-terms-of-use/ Terms of Use: https://damien-es-private-organization.gitbook.io/privacy-policy-and-terms-of-use/terms-of-use
下载量预测
预估总下载量
4K
低 / 月
6K
预估 / 月
11K
高 / 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。
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