Alpine pastoral area grassland insect pest monitoring and early warning system and method based on big data

Abstract

The invention belongs to the technical field of grassland insect pest monitoring and early warning. The invention discloses an alpine pastoral area grassland insect pest monitoring and early warning system and method based on big data. The alpine pasturing area grassland insect pest monitoring and early warning system based on big data comprises a grassland monitoring module, a grassland growth vigor judgment module, an image processing module, a central control module, an insect pest identification and judgment module, an insect pest estimation module, an insect pest early warning module, aninsect killing module, a driving module, a big data processing module, a data storage module, a wireless communication module, a power supply module, a terminal module and a display module. By adjusting the contrast enhancement parameter, the result grassland image is determined according to the adjusted contrast enhancement parameter, and the accuracy of the contrast enhancement parameter is improved, so that the grassland image enhancement effect is improved; accuracy calculation is carried out on the prediction model according to the collected actual value and the prediction value, the prediction model can be evaluated, and data support is provided for optimization of the prediction model.

Description

technical field [0001] The invention belongs to the technical field of monitoring and early warning of grassland pests, and in particular relates to a system and method for monitoring and early warning of grassland pests in alpine pastoral areas based on big data. Background technique [0002] Pastoral areas refer to areas where animal husbandry is the main production. It is relative to the agricultural area dominated by crop production, the forest area dominated by forestry production, and the fishing area dominated by fishery production. It is a breeding and production base for livestock and draft animals. my country's pastoral areas are mainly distributed in the western and northwestern fringes, and most of them are natural grasslands. Pastoral areas should highlight the important characteristics of grassland agriculture, give full play to the role of pasture grassland ecosystems, combine grass planting with livestock and land, and combine land with livestock to increas...

AI Technical Summary

Problems solved by technology

[0005] In summary, the existing problems and defects of the prior art are: (1) the existing methods of manual pest investigation rely on the experience and skills of professional technicians, which is time-consuming and laborious, with a large workload. Large impact, far from meeting the requirements of modern forecasting

[0006] (2) Many disease and pest spots are relatively similar. Distinguishing disease and pest spots in a complex background is the main difficulty of the current pest early warning system. The current advanced greenhouse computer monitoring and early warning system still relies on foreign technology

[0007] (3) The grassland images collected by the grassland pest monitoring and early warning system based on big data in alpine pastoral areas are not clear and affect monitoring; at the same time, it is impossible to accurately predict pests

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