High-precision monitor for crop growth information and detection method thereof

Abstract

The invention discloses a high-precision monitor for crop growth information, comprising a spectrum sensor (1), a standard reflectivity white board (13), a signal collector (5), a shielding conductor (4) and a bracket, wherein the bracket consists of a horizontal bracket (2) and a movable supporting rod (3); the spectrum sensor is fixed at one end of the horizontal bracket; the other end of the horizontal bracket is movably connected with the movable supporting rod; the signal collector is fastened on the movable supporting rod and located at a height liable to observe by human eyes; the output end of the spectrum sensor is connected with the signal collector in series through the shielding conductor; and the standard reflectivity white board is arranged below the spectrum sensor and is perpendicular to the spectrum sensor. The invention further discloses a detection method based on the high-precision monitor for crop growth information. By using the high-precision monitor for crop growth information and the detection method, multiple growth indexes of nitrogen content, nitrogen accumulation amount, leaf area index and leaf dry weight of crops can be obtained losslessly in real time, the structure is simple, and the stability and the measuring precision of the high-precision monitor are improved.

Description

technical field [0001] The invention relates to a high-precision crop growth information monitor, relates to the precise diagnosis of crops in information agriculture, focuses on the rapid acquisition of field crop information, and belongs to the field of intelligent detection of crop growth information. technical background [0002] Obtaining crop growth information (nitrogen content, nitrogen accumulation, leaf area index, and leaf dry weight) conveniently, quickly, accurately, reliably, and at low cost is the most basic issue in implementing precision agriculture and the key to precise crop management and regulation. For a long time, crop growth information has been acquired through destructive sampling in the field and indoor biochemical measurement. Although the results are relatively reliable, it is time-consuming, labor-intensive, pollutes the environment, and it is difficult to meet the requirements of real-time, fast, and non-destructive in terms of time and space. ...

AI Technical Summary

Problems solved by technology

In principle, if the internal structure, parameters, and performance of components of the two sensors are exactly the same, the accuracy of the measurement results can be guaranteed, but it is difficult to achieve in practice.

The solar radiation and the crop canopy reflection have their own characteristics. To measure the solar radiation information must overcome the influence of the change of the sun altitude angle; to measure the canopy reflection information must solve the contradiction between the field of view and the signal strength. Therefore, it is difficult to use A type of sensor with the same structure acquires spectral information of two different features

Even if the two sensors have the same structure, due to the difference in processing technology, tolerance distribution, and the performance parameters of internal components in different environments, the measurement will bring uncertain results

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