金莲花生长发育需水模糊评判模型研究

    Fuzzy judgement model for estimating water demand of the tropaeolum growth and development

    • 摘要: 根据机器视觉技术对金莲花需水特征所提取的数据红色分量R、绿色分量G、蓝色分量B,以及r分量、b分量,利用模糊数学方法建立了金莲花生长发育健康需水多参数模糊评判模型,以减少单参数对其需水判定缺陷,并通过试验数据对模糊评判模型进行了验证。试验表明,该模糊评判模型能够对金莲花的生长发育需水状态进行评判,能够确定其缺水时间长短。通过该模糊评判模型,为金莲花的灌溉策略的制定打下基础。

       

      Abstract: This paper extracts the features of water demand of tropaeolum, which is controlled by machine vision technology, it builds up the multi-parameter fuzzy judgement model based on the colour values,R ,G,B,r,b, through fuzzy mathematics, which can meet the water need of tropaeolum growth and development, and verifies it by experimental data. These experiments show that this system can judge the condition of water demand tropaeolum for growth development, and calculate the length of time of tropaeolum that is short of water. This system laid a solid foundation for formulating the tropaeolum irrigation tactics.

       

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