Automatic monitoring system of greenhouse crop growth conditions based on reflection spectrum

Abstract

The invention discloses an automatic monitoring system of greenhouse crop growth conditions based on a reflection spectrum, comprises a first screw rod, a second screw rod and a third screw rod, wherein a sliding block with a threaded hole is respectively sleeved on the three screw rods, and the movement of any points in the three-dimensional space can be realized by a stepping motor; and a camera and a reflection probe are arranged on one screw rod, and a near-infrared light source, a spectrometer, an industrial personal computer and a relay are arranged on another screw rod. The monitoring system is capable of automatically adjusting the space position of the reflection probe by combining the reflectance spectrum and image information under the control of a remote computer and calculating a plurality of indexes, such as leaf area index, water content, chlorophyll content, and the like on the basis of the visible / near-infrared reflectance spectrum, thereby analyzing the growth conditions of crops and providing the reference for growth management of the crops. The whole system has simple structure, low cost and high automation level and realizes the aims of fast and dynamically monitoring the growth conditions of the crops in loss-free, all-sided and multi-index forms.

Description

technical field [0001] The invention relates to a monitoring system for crop growth status, in particular to a near-infrared spectrum system for automatic monitoring of crop growth status in greenhouses. Background technique [0002] In addition to the precise grasp of climate and soil information, precision agriculture requires real-time and all-round monitoring of crop growth, so that it can carry out efficient agricultural management and management through fertilizers, pesticides and other cultivation management methods, and reduce agricultural costs. The pollution generated, and then achieve the goal of increasing production profits and protecting the ecological environment, so that agriculture can develop sustainably and healthily. For this reason, it is necessary to monitor crop growth (growth status) in real time, and analyze the causes of adverse conditions in order to take corresponding measures. Crop growth refers to the morphological phase during the growth and d...

AI Technical Summary

Problems solved by technology

Hyperspectral technology has begun to be used to evaluate the chlorophyll content of vegetation in the field. In addition to the unsatisfactory signal-to-noise ratio of the spectrometer itself, there are many difficulties in determining the physical parameters of the vegetation itself; in addition, the established evaluation model is affected by vegetation types, crop varieties, growth stage, growth conditions and measurement environment and many other factors, can only be applied to special occasions

In addition, most hyperspectral detection instruments are imported from abroad and are expensive

At present, many domestic units have been developing prototypes of crop growth spectral information monitors, but these monitors either have a single function and can only monitor a single nutritional status of a single crop (such as rice nitrogen nutrition), or are portable instruments that require manual labor. In the field operation, it is not convenient to monitor the crops in real time and in an all-round way

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