Drop irrigation cotton field cotton aphid quick monitoring and early warning method

Abstract

The invention discloses a drop irrigation cotton field cotton aphid quick monitoring and early warning method which comprises the following steps that (1) the drop irrigation cotton field cotton aphid number is obtained, and meanwhile the whether situation of a drop irrigation cotton field is obtained; (2) according to the whether situation of the drop irrigation cotton field in the step (1), the changing situation in five consecutive days is observed and is compared with the whether changing situations in the same period of the previous 3-10 years, if the situations are the same, the cotton aphid development state of later periods of the same period of the previous 3-10 years is observed, and if cotton aphid growing is in an increased trend, warning information is given out. A modern information technology is fully used for data collecting and transmitting, a large amount of manpower is saved, and the timeliness of cotton aphid monitoring and early warning is improved.

Description

Technical field [0001] The invention relates to the technical field of cotton field monitoring, in particular to a rapid monitoring and early warning method for cotton aphid in drip irrigation cotton field. Background technique [0002] Cotton is the most important economic crop in my country, and cotton aphid pests occur during the cotton seedling stage, which affects the growth of cotton. At present, the method of controlling cotton aphids is mainly based on passive control, that is, where pests appear, passive defensive measures are taken. This method is not only uneconomical, but also unscientific, unable to achieve precise prevention and control, resulting in a lot of waste of resources. [0003] Although there are similar technical reports for predicting cotton aphids, such as Chinese patent application 201210518102.3, "A method for short-term prediction of cotton aphid populations", a method for short-term prediction of cotton aphid populations is disclosed. This method is ...

AI Technical Summary

Problems solved by technology

[0005] ①The existing cotton aphid early warning technology still adopts the traditional methods of manually surveying the number of cotton aphids in cotton fields, and artificially processing and analyzing the survey data, which leads to not only a huge workload, but also time-consuming and laborious data investigation

[0006] ②The existing cotton aphid early warning technology has poor timeliness. After the cotton aphid broke out in a small area, the passive control decision was proposed through artificial investigation, resulting in the lag of early warning of cotton aphid, and the rapid monitoring and early warning of cotton aphid could not be realized. In the actual production of cotton, it has not played the effect of active control

[0007] ③ Existing cotton aphid early warning technology fails to establish a complete network early warning decision-making system, and its data processing and transmission processes do not use existing advanced information technology

Secondly, meteorological conditions (precipitation, temperature and humidity, wind speed, etc.) are the main factors affecting the occurrence and development of cotton aphids, and the above technical early warning models use fewer parameters, that is, the coefficients of the model operation equation are few, the model is simple, and its accuracy is difficult. ensure

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