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Wheat plant moisture monitoring method based on canopy high spectral index

A hyperspectral and moisture technology, applied in color/spectral characteristic measurement, weighing by removing certain components, measuring devices, etc., can solve complex model structures and algorithms, low accuracy of quantitative monitoring models, and universal monitoring models gender issues

Active Publication Date: 2012-04-25
NANJING AGRICULTURAL UNIVERSITY
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Problems solved by technology

At the same time, due to the hyperspectral mass information extraction and data preprocessing methods, the quantitative monitoring model based on spectral technology is less accurate or can only be applied to a specific growth period, or the model is slightly complicated in structure and algorithm, resulting in monitoring The universality of the model is poor, which weakens its applicability to a certain extent

Method used

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  • Wheat plant moisture monitoring method based on canopy high spectral index
  • Wheat plant moisture monitoring method based on canopy high spectral index
  • Wheat plant moisture monitoring method based on canopy high spectral index

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] Embodiment 1: It was carried out in the rain-proof cement pool of the Pailou Experimental Station of Nanjing Agricultural University (118°51'E, 32°1'N) in 2008-2009. The tested varieties were Huai Mai 25 and Yang Mai 18. The soil type of the test site is yellow brown soil, the soil organic matter content is 1.63%, the total nitrogen content is 0.09%, and the available phosphorus content is 58.3mg·kg -1 , the content of available potassium is 91.64mg·kg -1 , pH is 7.20. Establish four water treatments: moderate drought (W1), light drought (W2), control (W3) and excessive irrigation (W4) (about 40% to 45%, 60% to 65%, and 75% of field water capacity respectively). ~80% and 100%). The area of ​​the plot is 6m 2 , arranged in random blocks and repeated 3 times. Seed drills are used, the row spacing is 25cm, and the basic seedlings are 1.8 million plants hm -2 . The amount of nitrogen fertilizer is 210kg·hm -2 , the basal-dressing ratio was 1:1, and the phosphorus fe...

Embodiment 2

[0044] Embodiment 2: Carried out in the rainproof cement pool of Nanjing Agricultural University Archway Test Station (118 ° 51 'E, 32 ° 1 'N) in 2009-2010. The tested varieties were Huai Mai 25 and Yang Mai 18. The soil type of the test site is yellow brown soil, the soil organic matter content is 1.78%, the total nitrogen content is 0.10%, and the available phosphorus content is 52.7mg·kg -1 , the content of available potassium is 95.82mg·kg -1 , pH 7.25. Establish four water treatments: moderate drought (W1), light drought (W2), control (W3) and excessive irrigation (W4) (about 40% to 45%, 60% to 65%, and 75% of field water capacity respectively). ~80% and 100%). The area of ​​the plot is 10m 2 , arranged in random blocks and repeated 3 times. Seed drills are used, the row spacing is 25cm, and the basic seedlings are 1.8 million plants hm -2 . The amount of nitrogen fertilizer is 210kg·hm -2 , the basal-dressing ratio was 1:1, and the phosphorus fertilizer P was app...

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Abstract

The invention relates to a wheat plant moisture monitoring method based on a canopy high spectral index, which uses two-year wheat pool-planted test data of two-year 2 varieties under 4 different moisture treatments, adopts a decrement fine sampling method, and analyzes the quantitative relationship between a high spectral index combined by any two wave bands of an original spectrum and a reciprocal spectrum within the waveband range of 350-2500 nm and the wheat plant moisture content and the leaf layer moisture content; results show that the wheat plant moisture content can be monitored based on spectra of NDVI (R836, R793) and RVI (RC837, RC793), and the wheat leaf layer moisture content moisture content can be monitored based on original spectra of NDVI (R1100, R770) and RVI (R893, R805). The research conclusions of the invention provide new wave band combination and theoretical basis for the rapid lossless monitoring of wheat moisture conditions by using high spectral data.

Description

technical field [0001] The invention relates to moisture monitoring of wheat plants, in particular to a method for monitoring moisture of wheat plants based on canopy hyperspectral index. Background technique [0002] Wheat is one of the most important food crops in the world. 35% to 40% of the world's population takes wheat as a staple food. my country's annual wheat output is about 100 million tons, accounting for 22% of the country's total grain output and 20% of the world's total wheat output. Water is the basic factor of crop life activities, and the water content of green plants can reach more than 80% to 90%. Water shortage affects the morphogenesis and physiological process of crops, and finally reduces the yield. Implementing precision irrigation according to crop water status is an important way to improve water use efficiency and water production efficiency. [0003] In recent years, the rapid development of spectral remote sensing technology has opened up a n...

Claims

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Application Information

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IPC IPC(8): G01N21/25G01N5/04G01C11/00
Inventor 朱艳姚霞韩刚田永超刘小军王薇倪军曹卫星
Owner NANJING AGRICULTURAL UNIVERSITY
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