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Cotton is an important strategic material and one of our important economic crops. It plays an important role in our agricultural production, people's livelihood and secondary and tertiary industries. Cotton aphid is one of the major pests in the process of cotton growth and development. The lag and inaccuracy of aphid information will lead to the excessive application of pesticides, which will accelerate the destruction of cotton habitat and the pollution of cotton field environment. Therefore, it is of great practical significance to obtain the temporal and spatial distribution, hazard level and occurrence area of aphids in cotton fields in real time and accurately for the prevention and control of cotton aphid, cotton field management and farmland environmental protection. Remote sensing technology and machine vision technology speed up the acquisition of real-time and dynamic information and classification of aphids in cotton fields. This paper focused on "cotton aphid situation information monitoring", carried out literature review and combing at home and abroad, and described the research status and progress of traditional methods, remote sensing technology and image recognition on cotton aphid situation information. The problems in the monitoring of cotton aphid were discussed, and the research focus and development trend of the monitoring and diagnosis of cotton aphid damage information in the future were prospected. [ABSTRACT FROM AUTHOR]

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Copyright of Transactions of the Chinese Society of Agricultural Engineering is the property of Chinese Society of Agricultural Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)