Succulent Special State Detection | 多肉植物特殊状态识别

AI-powered orchid growth-status detection from HD images (including roots visible through transparent pots) via orchid cameras or smartphones. Measures new-shoot count, flower-spike length, and root color/condition (white = healthy, brown = aged, black = rotten) to deliver a holistic vitality assessment (vigorous / normal / weak) plus care guidance such as 'three new shoots, healthy roots, increase phosphorus-potassium to promote spike growth'. Helps orchid hobbyists pinpoint repotting and feeding timing. Scenarios: home orchid care, orchid greenhouses, horticulture studios. | 通过兰花栽培专用摄像头或手机拍摄的高清图像（包括透明兰盆内的根系），利用AI视觉分析技术检测兰花新芽萌发数量、花梗（花箭）生长长度以及根系颜色（白色健康、褐色老化、黑色腐烂），综合输出兰花的生长状态评估（旺盛/正常/衰弱）及养护建议（如"新芽萌发3个，根系健康，可适当增加磷钾肥促进花梗生长"）。有助于兰花爱好者精准掌握植株生长节奏，及时调整水肥管理。应用场景：兰花家庭养护、兰花大棚、兰花园艺工作室。

给一张植物照片，输出 0–100% 的萎蔫指数，并结合土壤湿度判断是缺水还是水涝。

AI-powered aquatic plant health monitoring from aquarium camera images. Detects leaf color changes (yellowing, bleaching, blackening), morphological anomalies (melting, curling, holes), and iron deficiency symptoms in submerged plants. Outputs health assessment and care suggestions (e.g., supplement iron fertilizer, adjust lighting, increase CO₂). Helps early detection of aquatic plant issues and maintains aquarium ecological balance. Scenarios: smart fish tanks, aquascaping tanks, aquarium shops. | 通过智能鱼缸或水下摄像头拍摄水草的图像，利用AI视觉分析技术识别水草叶片的颜色变化（黄化、白化、发黑）、形态异常（溶叶、卷曲、穿孔）以及缺铁等典型症状，输出健康评估及养护建议（如补充铁肥、调整光照、增加CO₂）。有助于及早发现水草生长问题，维持水族箱生态平衡。应用场景：智能鱼缸、水族箱、水草造景缸、水族店。

上传透明盆或育苗箱的根系图像，即可获得 0-100 分健康评分与活力等级，并给出养护方向建议。

AI-powered plant growth stage auto-detection from periodic full-plant images via smart pot / greenhouse fixed cameras. Recognizes key phenological features—cotyledon emergence, true-leaf count, flower bud differentiation, blooming, fruit setting, fruit ripening—and identifies the current developmental stage (germination, seedling, vegetative, flowering, fruiting, ripening), enabling precision irrigation/fertilization/lighting control and personalized growing guidance. Scenarios: smart pots, home grow boxes, greenhouses, plant factories. | 通过智能花盆或温室内固定摄像头，定期拍摄植物整体图像，利用AI视觉分析技术识别子叶展开、真叶数量、花芽分化、开花、结果、果实成熟等关键物候特征，自动判定植物当前所处的生长发育阶段（如发芽期、幼苗期、生长期、开花期、结果期、成熟期）。有助于精准农业管理，实现自动化灌溉、施肥、光照调节，并为用户提供种植指导。应用场景：智能花盆、家庭种植机、温室大棚、植物工厂。

AI-powered non-invasive rooting-stage detection for plant cuttings in transparent containers. From smart propagation boxes or transparent cutting containers, periodically captures images of the cutting base (water roots or substrate roots visible through the transparent wall), uses AI vision to detect white root primordia (tiny white callus dots) and count/locate them, and outputs the rooting stage (No Roots / Few Primordia / Many Primordia / Well-Developed Roots). Helps propagators monitor cutting-rooting progress without disturbing the cutting and choose the optimal transplant time. Scenarios: smart propagation boxes, home cutting propagation, tissue-culture rooms, agricultural research. | 通过智能育苗箱或透明扦插容器的固定摄像头，定期拍摄枝条基部的水生根或土培根系（通过透明壁观察），利用AI视觉分析技术识别枝条基部是否出现白色凸起根点（根原基发育形成的白色小点）以及根点的数量和分布，输出生根阶段（无生根/少量根点/大量根点/根系发达）。该技能帮助育苗者在不干扰枝条的情况下，无创监测扦插生根进度，判断移栽时机。应用场景：智能育苗箱、家庭扦插繁殖、植物组培室、农业科研。