Deep learning plant growth model analysis method and system based on computer vision

Abstract

The invention relates to the technical field of precision agricultural planting, and specifically discloses a computer vision-based deep learning plant growth model analysis method, including: real-time collection of plant growth environment data and plant images in different growth cycles, among the collected plant images Extract the images of different growth cycles of the same individual plant; calculate the area of ​​the leaves of the plant in the images of different growth cycles of the same individual plant, where the leaf area calculated by different growth cycles is the plant growth state at the corresponding time; establish the relationship between the plant growth state at the corresponding time The mapping relationship model of growth environment data; the weight value of different growth environment factors of plants is calculated according to the mapping relationship model. The invention also discloses a computer vision-based deep learning plant growth model analysis system. The plant growth model analysis method provided by the invention can monitor the plant growth state around the clock, and then quantify the degree of influence of the plant growth environment on the plant growth.

Description

technical field [0001] The present invention relates to the technical field of precision agricultural planting, and more specifically, relates to a computer vision-based deep learning plant growth model analysis method and system. Background technique [0002] With the rise of the Internet of Things as the background, the Agricultural Internet of Things has gradually emerged in today's era, and a large number of agricultural sensors are used in agricultural production activities. However, the monitoring and measurement of the plant itself is still obtained by manual measurement, which leads to a long time-consuming acquisition of plant characteristic data, excessive labor costs, and the quality and quantity of data cannot be guaranteed. Contents of the invention [0003] In view of the above disadvantages in the prior art, the present invention provides a computer vision-based deep learning plant growth model analysis method and system, which can monitor the growth status ...

AI Technical Summary

Problems solved by technology

However, the monitoring and measurement of the plant itself is still obtained by manual measurement, which leads to the acquisition of plant characteristic data takes too long, the labor cost is too large, and the quality and quantity of the data cannot be guaranteed.

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