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Insect pest early warning system based on Internet of Things

A pest early warning and Internet of Things technology, applied in the field of agricultural Internet of Things, can solve problems such as difficult popularization, no solution, difficult operation, etc., and achieve the effect of accurate and effective prediction, great application value, and simple operation

Pending Publication Date: 2022-07-08
北京云洋物联技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the image acquisition equipment required for this crop pest early warning method is expensive, and the single coverage area is limited, and a lot of image acquisition equipment often needs to be laid on a plot, which is too expensive for ordinary growers, difficult to operate, and very difficult to popularize
[0004] There are currently no effective solutions to these problems

Method used

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  • Insect pest early warning system based on Internet of Things
  • Insect pest early warning system based on Internet of Things
  • Insect pest early warning system based on Internet of Things

Examples

Experimental program
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Effect test

Embodiment 1

[0030] In the first embodiment, the recorded pest species include: citrus spider mites.

[0031] The data on the developmental stages of the insect states of the pests include: the insect states of each generation of red spider mites are egg, larvae, pre-nymph, post-nymph, and adult, respectively, and the developmental starting temperatures of each insect state to be associated are 9.0°C and 10.7°C, respectively. , 9.8℃, 11.0℃, 12.5℃.

[0032] The phenological period of citrus includes: dormancy period, flower bud differentiation period, spring shoot germination period, budding and flowering period, first physiological fruit drop period, second physiological fruit drop period, fruit expansion period, and fruit ripening period.

[0033] The adult stage of pests and a certain phenological stage of the associated host crops include: a certain phenological stage of citrus is associated with the critical period of the occurrence of red spider mites, the citrus dormancy period - the...

Embodiment 2

[0057] In the second embodiment, the recorded pest species include: apple and peach small carnivore.

[0058] The data of the developmental stages of the insect states of the pests include: the insect states of each generation of the apple-peach carnivore are egg, larva, pre-pupa, pupa, and adult, respectively, and the associated developmental starting temperatures of each insect state are 10.03° C., 9.4° C., 10.6° C. °C, 9.5 °C, 9.2 °C.

[0059] The phenological period of apple includes: dormancy period, sap flow period, budding and flowering period, fruit growth and development period, autumn shoot differentiation period, fruit expansion period, and fruit ripening period.

[0060] Each pest stage of the pest and a certain phenological period of the associated host crop include: a certain phenological stage of apple is associated with the critical period for the occurrence of P. The egg stage of apple worm, the budding and flowering stage of apple—the larval stage of peach c...

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Abstract

The invention discloses an insect pest early warning system based on the Internet of Things. The insect pest early warning system comprises a data acquisition subsystem, a data storage subsystem, a data analysis subsystem and an insect pest early warning subsystem, the data acquisition subsystem comprises an environment information acquisition module and an image acquisition module; the data storage subsystem comprises an insect pest basic database, a crop characteristic database and an environment information database; and the data analysis subsystem is used for processing the data acquired by the data acquisition subsystem through the crop phenological period prediction model and the insect pest effective accumulated temperature prediction model in combination with the insect pest basic database and the prediction characteristics of each model, and outputting the processed data to the insect pest early warning subsystem. According to the method, the occurrence date of each insect state of different insect pests is predicted by combining the characteristics of the crop phenological period prediction model and the insect pest effective accumulated temperature prediction model, the prediction is accurate and effective, the pre-prevention work of crops is facilitated, the operation is simple, and the method has a relatively high application value.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things in agriculture, in particular to an early warning system for insect pests based on the Internet of Things. Background technique [0002] The entire growth cycle of crops from planting to harvesting is often faced with various pests. If the control is not timely, it will not only cause a decline in yield and quality, but even cause serious economic losses in severe cases. The traditional control method requires plant protection technicians to enter the field to observe whether the crops are infested by pests. This method is time-consuming and labor-intensive, and some pests are preventable and irreversible. When they are found, it is possible to miss the best application time. [0003] At present, information technology has been gradually applied in agriculture. The current crop pest warning methods on the market generally use IoT image acquisition equipment to take pictures of pest...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02G06F16/25H04L67/12
CPCG06Q10/04G06Q50/02G06F16/25H04L67/12Y02A90/10
Inventor 赵洪啟杨晓娟鲁锡峰
Owner 北京云洋物联技术有限公司
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