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Citrus shoot early warning platform and method based on time sequence prediction

A time-series prediction and new shoot technology, which is applied in the direction of forecasting, fertilization methods, sub-station devices, etc., can solve the problems of damage to mesophyll, different effects and inaccuracy of citrus new shoots, etc., to achieve precise pesticide application and unmanned management Effect

Pending Publication Date: 2022-06-28
SOUTH CHINA AGRI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The common shoot control method is mainly to spray tip killers, but common tip killers contain herbicide ingredients, which require precise dosage control. Excessive spraying will cause damage to normal leaves and fruits of citrus, and mesophyll chlorosis and black The phenomenon of peel fruit and flower peel fruit seriously affects the income, so how to quickly obtain the growth of new shoots and generate a prescription map for spraying operations is extremely important
Citrus, as an economic crop of fruit trees, has an essential gap with wheat, rice, cotton, etc., and it is difficult to directly apply the smart agricultural management solutions and technologies on the latter to the management of citrus
[0004] At present, there are mainly the following problems in the management and control of citrus shoots: 1. The number of citrus shoots grows frequently and the cycle is long. Multiple shoots need to be controlled within a year. The traditional manual control method is heavy and inaccurate; 2. The shoot growth is often affected by the root system and soil fertility of the fruit tree itself, resulting in different growth conditions in different regions at the same period; 3. Citrus shoots have different functions in the four seasons and need to be managed separately for different situations. For this reason, we propose a Citrus shoot early warning platform and method based on time series prediction

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  • Citrus shoot early warning platform and method based on time sequence prediction
  • Citrus shoot early warning platform and method based on time sequence prediction
  • Citrus shoot early warning platform and method based on time sequence prediction

Examples

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Embodiment 1

[0032] like Figure 1-4 A citrus sprout early warning platform and method based on time series prediction is shown, including an edge information perception system, a communication network, and a platform server; wherein, the edge information perception system includes several cameras, edge computing equipment, and soil fertility sensors; the communication network includes wireless Communication, local area network communication, edge information perception system transmits data to platform server through communication network. , new shoot forecast and early warning.

[0033] The agricultural information perception system is deployed according to the five-point sampling method or the division of farmland areas. The agricultural situation perception system includes several agricultural situation perception sub-nodes, such as figure 1 As shown in the figure, each agricultural situation perception sub-node is a single whole, and is only responsible for the agricultural situatio...

Embodiment 2

[0046] like Figure 1-4 As shown in the figure, the present invention provides a method and platform for early warning of citrus shoots based on time series prediction. Decode and identify the information, obtain the identification results of citrus shoots, and package and transmit the agricultural situation perception sub-node number, video or image information, identification results, and soil fertility information to the remote platform server.

[0047] The platform server accepts the incoming data from the agricultural situation perception sub-node at the port, disassembles it according to the data source and data type, stores it in the database, and compares the proportion of new shoots with the pre-set early warning threshold. The obtained soil fertility data, seasons and other information are used for early warning of citrus shoots.

[0048] When monitoring personnel log in to the platform, the server reads the data information stored in the database for front-end disp...

Embodiment 3

[0054] This example takes the early warning monitoring of citrus summer shoots as an example, such as figure 2 The agricultural situation perception sub-nodes shown are deployed in the farmland in the form of five-point sampling method according to the division of the farmland area, such as figure 1 The video image data signal collected by the camera is transmitted to the edge computing platform through the network cable. The edge computing device uses its own computing power to decode the video signal, and calls the deep learning model for target detection and classification, and obtains the budding stage, the growth stage, and the mature stage. According to the number of new shoots in the period, the classified data is encapsulated in JSON format. The soil fertility sensor in this area communicates with the edge computing device through the network cable, and the edge computing device encapsulates the data into the JSON data format. The edge computing device transmits data ...

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Abstract

The invention discloses a citrus shoot early warning platform and method based on time sequence prediction. The citrus shoot early warning platform comprises an agricultural condition sensing system and a platform server. The agricultural condition sensing system transmits acquired agricultural condition information to the platform server through a network, compares the acquired information with a preset threshold value according to a new shoot early warning processing module of the platform server, and performs early warning when the acquired information exceeds the preset threshold value; visual data of the camera, data of the fertility sensor, a time sequence prediction result and the like are combined together, intelligent automatic early warning of the citrus shoots is achieved, and the system has great significance in achieving unmanned management of the citrus orchard, precise pesticide application, efficiency improvement and application reduction.

Description

technical field [0001] The invention belongs to the technical field of digital agriculture, and in particular relates to a citrus shoot early warning platform and method based on time series prediction. Background technique [0002] Smart agriculture and digital agriculture are a major trend in today's agricultural development. At present, agricultural production in the United States, Japan, Europe and other agricultural powers are gradually realizing unmanned farms and intelligent management. Its advantage lies in reducing the labor force while improving the quality and output of agricultural products, and using science and technology to drive production. In recent years, with the development of the domestic artificial intelligence field and the problems faced by domestic agriculture, the country is also actively building digital agriculture and unmanned farms. It is estimated that by 2025, the global market value of smart agriculture will reach 68.389 billion US dollars, t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02H04N7/18H04N5/232H04Q9/00H04L67/12A01C21/00G16Y10/05G16Y20/10G16Y20/20G16Y40/10G16Y40/20
CPCG06Q10/04G06Q50/02H04N7/18H04Q9/00H04L67/12A01C21/007G16Y10/05G16Y20/10G16Y20/20G16Y40/10G16Y40/20H04Q2209/40H04Q2209/84H04Q2209/30H04N23/67H04N23/695
Inventor 邓小玲殷献博王天伟
Owner SOUTH CHINA AGRI UNIV