METHOD FOR RAPIDLY MONITORING AND DETERMINING DROUGHT CONDITION OF WINTER WHEAT BY USING UNMANNED AERIAL VEHICLE AND ON BASIS OF LEAF AREA INDEX
A method for rapidly monitoring and determining the drought condition of winter wheat by using an unmanned aerial vehicle and on the basis of a leaf area index (LAI). The method comprises: 1) acquiring a multispectral image and an actually measured LAI of the ground by means of unmanned-aerial-vehic...
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Main Authors | , , , , , , , , , , |
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Format | Patent |
Language | Chinese English French |
Published |
28.03.2024
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Subjects | |
Online Access | Get full text |
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Summary: | A method for rapidly monitoring and determining the drought condition of winter wheat by using an unmanned aerial vehicle and on the basis of a leaf area index (LAI). The method comprises: 1) acquiring a multispectral image and an actually measured LAI of the ground by means of unmanned-aerial-vehicle multi-load low-altitude remote sensing technology, and calculating vegetation indexes, i.e. NDVI, DVI, RVI, EVI, OSAVI and TCARI; 2) respectively constructing regression equations on the basis of the calculated vegetation indexes and the actually measured LAIs in different growth periods, and selecting an optimal model equation for the growth periods from the regression equations; 3) performing inversion on a winter wheat LAI of each growth period according to the optimal model equation, and calibrating an LAI threshold value between different drought stress levels; and 4) by means of real-time monitoring, obtaining a multispectral image of a plot to be subjected to detection, calculating a required vegetation i |
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Bibliography: | Application Number: WO2023CN119396 |