An integrated variable fertilization method of corn water and fertilizer based on UAV monitoring

Abstract

The invention discloses a water and fertilizer integrated variable-rate corn fertilization method based on unmanned aerial vehicle monitoring. Aerial photography is performed on corn canopies in a test plot and a recommended fertilization zone at a six-leaf stage and a ten-leaf stage of corn respectively by an unmanned aerial vehicle, corn canopy orthoimages are acquired with the six-leaf stage asa main object and the ten-leaf stage as a supplementary in an analysis result; the optimal canopy image color parameter is screened out; fuzzy membership discrimination is performed on crop images inthe recommended area according to different spectral values and spectral standardized values of window test plots subjected to different fertilization treatment ; the window test plots are added to the recommended fertilization area to maintain consistency, corresponding spectral standard libraries are established according to different responses of different soil and different crops, the corresponding relation between corn canopy features obtained by the unmanned aerial vehicle and the window test plots is established.

Description

technical field [0001] The invention belongs to the technical field of resources and environment, and in particular relates to a corn water and fertilizer integrated fertilization method based on unmanned aerial vehicle monitoring. Background technique [0002] Nitrogen is an important part of plant chlorophyll, and it is also the key to crop cell division. If a growing crop lacks nitrogen, the plant will be short and thin; the basal leaves will gradually dry and wither; decrease etc. Therefore, nitrogen fertilizer is extremely important for the growth and development of crops. [0003] Nitrogen fertilizer application is a common and important measure to increase yield quickly and effectively in agricultural production. Traditional fertilization methods often use a uniform fertilization method, and variable fertilization cannot be performed according to different nutrient conditions, which not only results in low fertilizer utilization efficiency, but also easily causes no...

AI Technical Summary

Problems solved by technology

Bao Yansong et al. used aerial images, ground canopy spectral data and vegetation biochemical data methods of simultaneous observation to predict winter wheat nitrogen and realize variable fertilization technology. Although the information collection and analysis accuracy of this technology is high, due to information acquisition equipment and the Due to cost constraints, it is difficult to popularize this technology

Li Hongjun et al. proposed a method of using UAV aerial images of crop canopy for crop nitrogen analysis and soil fertilization guidance. They only gave the total recommended amount of nitrogen fertilizer at different points, without considering the amount of phosphorus and potassium fertilizers, and the operability is not strong. , but the demand of crops at different stages is different, there is a lack of fertilization recommendations in different growth stages, and there is a lack of implementation plans for variable fertilization of current crops based on monitoring results, and implementation of variable fertilization at each point for currently planted crops There are certain difficulties, in addition, the lack of verification of the measured values ​​​​of soil nutrients, does not take into account the water requirements of the crops

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