plant-nutrition-diagnosis-analysis
Plant Nutrition Diagnosis Skill | 植物营养诊断技能
Based on computer vision technology combined with professional plant physiology knowledge, this skill accurately diagnoses nutrient imbalance disorders such as nitrogen, phosphorus, potassium deficiency or excess, as well as trace element abnormalities by analyzing the color, texture and morphological characteristics of plant leaves. The system quickly locates the type of nutrient imbalance based on "symptom location" (such as the difference between old leaves and new leaves) and "visual pattern" (such as interveinal chlorosis, leaf margin scorch), and outputs a structured diagnostic report including nutrient deficiency judgment, physiological cause analysis, and targeted fertilization suggestions. It provides scientific basis for precision fertilization and crop health management, helping growers quickly correct nutrient disorders and maintain healthy plant growth.
本技能结合计算机视觉技术与专业植物生理学知识，通过分析植物叶片的颜色、纹理和形态特征，能够精准诊断氮、磷、钾大量元素缺乏或过剩以及微量元素异常等营养失衡病症。系统依据" 症状发生部位"（如老叶与新叶的差异）及"视觉表现模式" （如叶脉间失绿、叶缘焦枯），快速定位营养失衡类型，输出包含缺乏元素判断、生理成因分析及针对性施肥建议的结构化诊断报告，为精准施肥与作物健康管理提供科学依据，帮助种植者快速矫正营养失调，维持植物健康生长。