Agricultural unmanned aerial vehicle operation remote control method based on big data analysis

Abstract

The invention discloses an agricultural unmanned aerial vehicle operation remote control method based on big data analysis, and the method comprises the steps: carrying out the sub-region division of a rice field region, obtaining the area of each rice field sub-region, obtaining the rice plant growth vigor parameter of each rice field sub-region, and carrying out the statistics of a rice average comprehensive growth vigor coefficient corresponding to each rice field sub-region, at the moment, analyzing the total pesticide spraying amount corresponding to each rice field sub-region according to the area of each rice field sub-region, meanwhile, obtaining the rice plant average height corresponding to each rice field sub-region from the rice plant growth vigor parameters of each rice field sub-region, and then obtaining the unmanned aerial vehicle standard spraying height corresponding to each rice field sub-region. The method has the advantages that the defect that the actual spraying requirements of crops are not met in the pesticide spraying operation process of the crops through the unmanned aerial vehicle at present is overcome, the spraying effect is improved, the situation that the crops are damaged due to the fact that the actual spraying requirements of the crops are not met is greatly reduced, and the accurate plant protection requirements of the crops are met.

Description

technical field [0001] The invention belongs to the technical field of remote control of agricultural drones, and in particular relates to a remote control method for agricultural drone operations based on big data analysis. Background technique [0002] In recent years, with the continuous improvement of the level of agricultural modernization, the demand for safe and efficient plant protection technologies in agricultural production is increasing. Taking pesticide spraying as an example, the traditional manual spraying of pesticides in my country is not only time-consuming and labor-intensive, but also the effect of plant protection is not satisfactory. cannot effectively protect crops. Compared with traditional manual mechanical spraying, modern drone spraying pesticide technology has the advantages of safety, high efficiency, and saving the amount of chemicals used. It can not only reduce the cost of plant protection, but also greatly improve work efficiency, so as to bet...

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Problems solved by technology

[0003] However, in the current process of spraying pesticides on crops by drones, the spraying height and spraying amount of drones in the crop planting area are uniformly controlled, and the plant heights of the crops in the crop planting area are not considered. The influence on the spraying height and the influence of different crop growth on the spraying amount

For the same crop, different plant heights require different spraying heights, and different growth conditions require different spraying doses. Simply using a uniform spraying height and spraying dose for crops All crops in the planting area are sprayed with pesticides, which obviously does not meet the actual spraying requirements of the crops, which makes some crops in the crop planting area unable to achieve the preset spraying effect, and even causes damage to the crops, which cannot guarantee the safety of the crops. It is difficult to meet the demand for precise plant protection of crops

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