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PlantDoc: AI Plant Care — App Store 排名

Mustapha BOUKALI · Reference · 在 App Store 查看

应用简介

开发者在美国 App Store 的完整简介（英文原文）。

Welcome to PlantDoc, your ultimate pocket botanist and AI-powered plant care assistant. Whether you are a beginner looking to keep your first houseplant alive, an experienced gardener dealing with stubborn pests, or a nature enthusiast curious about the flora around you, PlantDoc is the perfect companion for your green journey. KEY FEATURES: Instant Plant Identification Simply snap a photo of any plant, flower, tree, or succulent. Our advanced AI engine analyzes the image and identifies it from a massive database of thousands of species with incredible accuracy in just seconds. AI Plant Doctor & Disease Diagnosis Is your plant looking yellow, droopy, or wilted? Take a picture of the affected area, and PlantDoc will instantly diagnose the disease, pest, or nutrient deficiency. We provide you with clear, actionable treatment steps to nurse your plant back to health. Detailed Care Requirements Discover exactly what your plants need to thrive. We provide comprehensive care guides including watering frequency, ideal sunlight levels, optimal temperature ranges, soil requirements, and toxicity warnings for pets. My Virtual Garden Save your scanned plants to your personal virtual garden. Keep track of your growing collection, monitor their health over time, and easily access their specific care instructions whenever you need them. Ask the Botanical AI Have a highly specific gardening question? Chat directly with our intelligent botanical assistant. Ask about pruning techniques, fertilizer schedules, or seasonal care, and receive personalized advice tailored to your specific situation. Subscription Information: PlantDoc offers weekly and annual premium subscriptions to unlock unlimited scans and direct AI consultations. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

PlantDoc: AI Plant Care 不在我们每天抓取的免费榜前 100 名里。可以用下面的实时查询，立刻查看 12 个国家的情况。

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你的浏览器现在就去读取 Apple 的榜单，所以这是实时数据，不是昨天的抓取结果。