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Author

Chen Zepeng

Bio: Chen Zepeng is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.

Papers
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Patent
20 Oct 2017
TL;DR: In this paper, an intelligent production method and system for crop field operation is presented, where an acquisition module is adopted to acquire the actual environmental data, actual crop data and actual fertilization data, and a neural network calculation method is used to obtain target operation data on the basis of the target crop protection data and the actual equipment data.
Abstract: The invention discloses an intelligent production method and system for crop field operation. According to the intelligent production method and system for crop field operation of the invention, an acquisition module is adopted to acquire the actual environmental data, actual crop data, actual fertilization data and actual equipment data of the crop field operation; the actual environmental data, the actual crop data and the actual fertilization data are integrated into target crop protection data; a neural network calculation method is adopted to obtain target operation data on the basis of the target crop protection data and the actual equipment data; a server compares the target operation data with the actual equipment data, and the neural network calculation method is adopted to obtain actual operation data; the server transmits the actual operation data to unit operation modules through a CAN bus, so that the unit operation modules can perform actual operation; and therefore, large-signal quantity crop field operation which is complex to calculate, has many operation types and is difficult in result monitoring can be effectively processed. The intelligent production method and system have the advantages of high intelligence degree and easiness in monitoring.

2 citations


Cited by
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Patent
04 May 2018
TL;DR: In this paper, a smart tobacco planting management system based on Internet of Things is proposed, which includes a data acquisition and transmission subsystem, a data processing analysis subsystem and an application demonstration subsystem.
Abstract: The invention relates to a smart tobacco planting management system based on Internet of Things. The system includes a data acquisition and transmission subsystem, a data processing analysis subsystemand an application demonstration subsystem. The data acquisition and transmission subsystem includes a fully automatic meteorological monitoring unit, a fully automatic soil sensing unit, a hyperspectral image scanning unit, a GPS geographic information acquisition unit and a near-infrared spectroscopy rapid scanning unit. The data processing analysis subsystem includes a flue-cured tobacco growth prediction model, a plant disease and insect pest prediction model, a tobacco-planting soil adaptability evaluation model, a tobacco leaf quality evaluation model and a tobacco leaf quality safety traceability model. The application demonstration subsystem includes a water and fertilizer and pesticide integrated control unit, a tobacco leaf customized production unit, a tobacco leaf quality traceability unit and a system management unit. According to the smart tobacco planting management system, the development of tobacco modern agriculture is promoted through technological innovation, and the goal of remote control, automatic operation and refined management of tobacco cultivation is achieved.

5 citations

Patent
27 Mar 2020
TL;DR: In this paper, an adjustable plant pesticide spraying system consisting of a controller which is separately connected with a camera and a plurality of pesticide sprayers is presented. And the controller is connected with GPRS communication module.
Abstract: The invention discloses an adjustable plant pesticide spraying system The adjustable plant pesticide spraying system comprises a controller which is separately connected with a camera and a pluralityof pesticide sprayers; the camera comprises a flash lamp; and the controller is connected with a GPRS communication module Thus, the adjustable plant pesticide spraying system is simple in structure, and feasible for direct judgment on basis of images of current plant statuses The adjustable plant pesticide spraying system is used for spraying pesticides on plants, thereby eliminating diseases,insects and pests The invention further discloses a plant pesticide spraying method which is capable of ensuring that types and quantities of pesticides are accurately corresponding to plant requirements by establishing a mature neural network of plant diseases, insects and pests; and moreover, the neural network of plant diseases, insects and pests can be connected with a movable terminal through the GPRS communication module, so that spraying instruction can be sent by the movable terminal so as to ensure accurate and opportune spraying types and spraying times, thereby achieving high operability