smyx-flowering-fruit-set-rate-analysis-analysis

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@user_15292d5a/yjkj-smyx-flowering-fruit-set-rate-analysis-analysis

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。