System and method for crop seed recognition and adoption service
A service system and crop technology, applied in the agricultural field, can solve the problems of lack of deep integration, inability to meet the individual needs of users, lack of user interaction, etc., and achieve the effect of increasing interactivity and participation.
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Embodiment 1
[0045] Based on the above-mentioned advantages of the Internet of Things, this embodiment provides a crop recognition and adoption service system, the composition diagram is as follows figure 1 shown, including:
[0046] Monitoring subsystem 10 , data processing subsystem 20 and interaction subsystem 30 .
[0047] The monitoring subsystem 10 is used for real-time monitoring of crops in the field, obtaining monitoring video, regularly collecting image data and moisture data of the field environment, and sending the monitoring video, image data and moisture data to the interactive subsystem 30 . Field production activities can be monitored in real time according to the surveillance video, and the regularly collected image data and moisture data need to be stored in the server 31 for traceability and query of the entire production process. The recognized and adopted crops in this embodiment can be field crops or greenhouse crops.
[0048] The data processing subsystem 20 includ...
Embodiment 2
[0086] Based on the first embodiment above, correspondingly, this embodiment also provides a service method for crop species recognition and adoption, the steps of which are as follows: image 3 shown, including the following steps:
[0087] Step S1, the data processing subsystem establishes production file data, records the operating procedures and crop growth information during the crop growth process, and sends instructions to the server, instructing the monitoring subsystem to plant crops according to the operating procedures recorded in the production file data.
[0088] Step S2, the monitoring subsystem monitors the crops in the field in real time, obtains the monitoring video, regularly collects the image data and the moisture data of the field environment, and sends them to the server.
[0089] Step S3, learn the field management process according to the surveillance video, and send the pre-made popular science tutorial to the client.
[0090] Step S4, the server esta...
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