| Vineyard drought monitoring model based on multiple stepwise regression analysis |
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| DOI：10.7606/j.issn.1000-7601.2022.04.28 |
| Key Words: vineyard drought monitoring drought index multiple stepwise regression analysis |
| Author Name | Affiliation | | LI Xuejian | College of Information Engineering，Northwest A & F University,Yangling, Shaanxi 712100, China | | WANG Meili | College of Information Engineering，Northwest A & F University,Yangling, Shaanxi 712100, China | | ZHAO Min | College of Information Engineering，Northwest A & F University,Yangling, Shaanxi 712100, China | | SHI Yinghan | College of Information Engineering，Northwest A & F University,Yangling, Shaanxi 712100, China | | GAO Qiang | School of Communications and Information Engineering，Xi’an University of Posts and Telecommunications，Xi’an, Shaanxi 710121，China |
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| Abstract: |
| 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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