李雪健,王美丽,赵敏,史颖涵,高强.基于多元逐步回归分析的葡萄园干旱监测模型[J].干旱地区农业研究,2022,40(4):249~254
基于多元逐步回归分析的葡萄园干旱监测模型
Vineyard drought monitoring model based on multiple stepwise regression analysis
  
DOI:10.7606/j.issn.1000-7601.2022.04.28
中文关键词:  葡萄园  干旱监测  干旱指数  多元逐步回归分析
英文关键词:vineyard  drought monitoring  drought index  multiple stepwise regression analysis
基金项目:陕西省重点研发计划一般项目(2019NY-167)
作者单位
李雪健 西北农林科技大学信息工程学院陕西 杨凌 712100 
王美丽 西北农林科技大学信息工程学院陕西 杨凌 712100 
赵敏 西北农林科技大学信息工程学院陕西 杨凌 712100 
史颖涵 西北农林科技大学信息工程学院陕西 杨凌 712100 
高强 西安邮电大学通信与信息工程学院陕西 西安 710121 
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中文摘要:
      为明确葡萄园区干旱评价标准,制定了一种具有区域适用性的干旱指数,通过在渭南市临渭区葡萄研究所葡萄试验田进行干旱胁迫对比试验,得出一种结合植物生长图像与环境要素的干旱监测模型;使用逐步回归分析法,计算出土壤湿度与众多影响因素间的关系,得到干旱监测模型。试验结果表明:回归方程的确定系数(R-square)可达0.91,模型精确,拟合效果较好。搭建了一个干旱监测与预警平台,可以实时监控作物的生长状况,为精准灌溉提供决策。
英文摘要:
      To identify the drought evaluation standard of grape vineyards and solve the problem of lack of irrigation guidance, a drought index with regional applicability was developed in this study. Through the comparative experiment of drought stress in the experimental field of Grape Research Institute in Linwei District of Weinan City, a drought monitoring model combining plant growth image and environmental factors was proposed. The relationship between soil moisture and many factors was calculated by stepwise regression analysis, and the drought monitoring model was obtained. The experimental results showed that the R-square of regression equation reached 0.91.The model was accurate,and the fitting effect was good. Finally, a drought monitoring and early warning platform was built. The system can be used to monitor the growth status and data of crops in real time and provide decision\|making for precision irrigation.
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