Crop growth monitoring method

Abstract

The invention discloses a crop growth monitoring method, which comprises the following steps that: S1, more than one sensor respectively acquires the original growth information of crops in a specified monitoring area; S2, the acquired original growth information is sent to a remote monitoring platform; S3, the remote monitoring platform carries out preprocessing on the acquired original growth information so as to obtain processed growth information; S4, the remote monitoring platform extracts feature parameters from the processed growth information according to a preset algorithm; and S5, the growth situation of crops in the specified monitoring area is evaluated according to the degree of deviation among the feature parameters and preset values. Through respectively installing a plurality of various sensors at different space position points of crops to be monitored, the growth situations of the crops can be obtained more accurately, therefore, on the one hand, people can be guided to timely change the environments at which the crops are located, thereby increasing the crop yield; and on the other hand, the crop yield can be predicted more comprehensively and accurately.

Description

Technical field [0001] The invention belongs to the technical field of crop monitoring, and specifically relates to a method for monitoring crop growth. Background technique [0002] Crop condition refers to the condition and trend of crop growth, or the condition of crop growth. By monitoring the condition of crops, you can understand the growth status of crops, pests and diseases or crop nutrition in time, so as to guide people to take corresponding management measures. Ensure the normal growth of crops. [0003] The existing monitoring methods of crop growth are mainly manual direct observation methods, that is, observers can judge crop growth conditions by observing the appearance characteristics of crops such as geometric size, shape or color, for example: crop lack of water, fertilizer or pests. [0004] The main disadvantages of the manual direct observation method are: (1) It takes a lot of manpower and is extremely inefficient. (2) Observers are required to have rich exper...

AI Technical Summary

Problems solved by technology

[0004] The main defects of artificial direct observation method are: (1) it needs to consume a lot of manpower, and the efficiency is extremely low

(2) The observer needs to have rich experience and agricultural knowledge, and usually only qualitative conclusions can be given. Therefore, the observation results are highly subjective and cannot reflect the actual growth of the crops more objectively.

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