Fish Fry Growth Rate Measurement (via Reference Object) | 鱼苗生长速度测量（通过参照物）
v1.0.0Through fixed cameras of fry tanks (a known-size reference object such as a scale ruler, standard coin or calibration board must be placed in the view), the system periodically (e.g. daily or weekly) captures fry images and uses AI vision analysis to measure body length (from snout to tail-fin tip, in mm), record individual growth rate (mm/day) and draw the growth curve. This skill helps aquaculturists or ornamental fish breeders evaluate fry health and feed conversion ratio, and timely adjust feeding strategy. Application scenarios: fry rearing tanks, aquaculture farms, ornamental fish breeding farms, laboratories. The system automatically captures images, generates growth reports, and alerts on anomalies (such as stunted growth). Skill features: growth rate is a critical indicator for fry health and feeding optimization. AI-based periodic measurement and growth-curve plotting helps farmers detect slow growth early, adjust management and improve survival rate and yield. This skill can be integrated into smart fry tanks or aquaculture management apps. | 通过鱼苗缸固定摄像头（需放置已知尺寸的参照物，如刻度尺、标准硬币或标定板），定期（如每天或每周）拍摄鱼苗图像，利用 AI 视觉分析技术测量鱼苗体长（从吻端到尾鳍末端，单位 mm），记录个体的生长速率（mm/天），并绘制生长曲线。该技能有助于水产养殖者或观赏鱼繁育者评估鱼苗健康状况、饲料转化率，及时调整投喂策略。应用场景：鱼苗培育缸、水产养殖场、观赏鱼繁殖场、实验室。系统自动采集图像，生成生长报告，异常时提示（如生长停滞）。技能特点：生长速率是评估鱼苗健康、优化投喂的关键指标。通过 AI 自动定期测量并绘制生长曲线，可帮助养殖者及时发现生长迟缓问题，调整管理措施，提高成活率和产量。该技能可集成到智能鱼苗缸或养殖管理 APP 中。
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