Fruit Ripeness Grading | 番茄/草莓果实成熟度分级

Identifies fruit ripeness stages (green / turning / ripe / over-ripe) based on color, size and gloss features to output a standardized ripeness grade. | 通过颜色、大小、光泽度识别果实成熟度（青/转色/成熟/过熟），输出成熟度等级。

AI-powered flowering and fruit-set rate analysis for tomato / chili plants. From home grow-box or mobile phone images of flowering/fruit clusters, uses object-detection models to count open flowers (fully-opened corolla with visible stamens) and successfully-set young fruits (enlarged ovary, ~0.5-1cm green baby fruits), and computes fruit-set rate = young fruits / flowers × 100%. Helps growers evaluate pollination, nutrition and environmental adaptability, and guides hand-assisted pollination or water/fertilizer adjustment. Scenarios: home smart grow-boxes, greenhouses, balcony vegetable gardens. | 通过家庭种植箱或手机拍摄的植株花果图像（包含花穗、果实区域），利用AI视觉目标检测模型识别开放花朵（花冠完全展开、雄蕊可见）的数量以及已坐果的小果（子房膨大、直径约0.5-1cm的绿色幼果）数量，计算坐果率（小果数/花朵数 × 100%）。该技能帮助种植者评估授粉效果、营养状况及环境适应性，指导人工辅助授粉或调整水肥管理。应用场景：家庭智能种植箱、温室大棚、阳台菜园。

Use when 用户发来水果照片、问怎么挑水果/这颗能不能买，或需要基于照片与用户补充信息评估成熟度、品质风险、身份/品种置信度和购买建议。

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 pest & disease detection for roses (Rosa spp.). From garden cameras or mobile phone images of leaves, young shoots and flower buds, detects common rose enemies including black spot (black round/irregular spots with yellow halo), powdery mildew (white powdery layer on leaves/shoots), spider mites (tiny red/white dots on leaf back with webbing in severe cases) and aphids (green/black clustered tiny insects on shoots and buds). Outputs pest/disease type, severity grade and general control suggestions. Helps gardeners detect issues early and act in time. Scenarios: home gardens, rose specialty gardens, courtyard landscaping, cut-flower production bases. | 通过庭院摄像头或手机拍摄月季/玫瑰的叶片、嫩芽、花苞图像，利用AI视觉分析技术检测黑斑病（叶面黑色圆形或不规则斑点，周围黄晕）、白粉病（叶片、嫩芽表面白色粉状霉层）、红蜘蛛（叶片背面细小红色或白色点状螨虫，严重时结网）、蚜虫（嫩芽、花苞上绿色或黑色聚集的小虫）等常见病虫害，输出病虫害类型及严重程度，并提供防治建议。该技能有助于月季种植者早期发现问题，及时采取措施。应用场景：家庭花园、月季专类园、庭院绿化、切花生产基地。

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。