摘要
本文提出了一种基于改进的D-S证据理论的智慧灌溉决策方法。对土壤湿度、气孔导度以及作物水分胁迫指数(CWSI)三个决策因子,通过三角形隶属度函数为作物的灌溉状态分配基本概率,利用D-S证据理论对灌溉时机进行综合决策。当灌溉决策因子的基本概率出现冲突时,利用改进的D-S证据理论,通过证据间距离的方法来替换因子中冲突部分。仿真结果表明,该方法能够降低灌溉决策的不确定性。
In the paper,a smart irrigation decision-making method based on the improved D-S evidence theory is proposed.The three decision-making factors of soil moisture,stomatal conductance,and crop water stress index(CWSI)are used to assign basic probabilities to the irrigation state of crops through a triangular membership function,and use D-S evidence theory to make comprehensive decisions on irrigation timing.When the basic probability of irrigation decision factor conflicts,the improved D-S evidence theory is used to replace the conflicting part of the factor through the method of distance between evidence.The simulation results show that this method can reduce the uncertainty of irrigation decision-making.
作者
李丽敏
张顺锋
田强明
郭伏
Li Limin;Zhang Shunfeng;Tian Qiangming;Guo Fu(College of Electronic Information,Xi'an Polytechnic University,Xi'an 710600,China)
出处
《单片机与嵌入式系统应用》
2021年第6期20-24,共5页
Microcontrollers & Embedded Systems
关键词
灌溉决策
基本概率
D-S证据
irrigation decision
basic probability
D-S evidence
