KR101810877B1 - Fruit Harvest Forecast System And Method - Google Patents

Abstract

The present invention relates to a fruit harvest period prediction system and a management method thereof. According to an embodiment of the present invention, the fruit harvest period prediction system includes: a remote information collection part (10) collecting the size, color, and location information of fruits; a server part (20) executing information management and analysis operations by a user; a PC providing the information computed in the server part (20) in a wired or wireless manner; a smartphone (40) which receives the information computed in the server part (20) to transmit and display the information thereon for use.

Description

{Fruit Harvest Forecast System And Method}

The present invention relates to a fruit harvest prediction system as an application field of Internet (IOT), and more particularly, to a fruit harvest time prediction system for predicting fruit harvest time by checking the size and color of fruits.

In an existing orchard farmer, the orchard manager had to manually check the fruit of the orchard to determine when the fruit was harvested.
As a related art, there is known a system for predicting the yield of agricultural products and a method for predicting the yield of agricultural products using the same, and a system disclosed in Patent Publication No. 1020130137782 (December 31, 2013).

This conventional inspection method has a problem in that the scale of the farming is increased and the size of the farmland or orchard is also increased and it takes time to grasp the growth rate of the fruit in a short time and it is not accurate because it must be visually confirmed .

In addition, conventionally, a lot of manpower has been consumed to determine the time of fruit harvest because a large number of manpower is required to judge from time to time.

In addition, fruits are highly valuable as commodities when they are harvested in a timely manner according to their size and color, and the income of farm households can also increase. Such passive inspections can miss the right time of harvest, There is a great problem that it can be dropped.

[Acknowledgment]

The present invention is the result of research carried out by the Institute for Creation Science and Information and Communication Technology Promotion Center (IITP-2016-H8601-16-1007).

Disclosure of Invention Technical Problem [8] Accordingly, the present invention has been made to solve the above-mentioned problems, and it is an object of the present invention to provide a system for predicting fruit harvesting time, will be.

Another object of the present invention is to provide a system for predicting fruit harvest timing using a fruit harvest timing prediction system for predicting the harvest timing of fruit by grasping the color change of the orchard fruit in a short time and checking the position information in real time Method.

A system for predicting a fruit harvesting time for predicting a fruit harvesting time according to an embodiment of the present invention includes a remote information collecting unit 10 for collecting fruit size, color and position information; A user management unit 22 provided to the orchard manager to perform information management and analysis by the user, a harvest statistic display unit 24, and a cropable partition display unit 26 ), And a collectable notifying section (28), and a server section (20) for implementing and executing each function in the form of a web program; A personal computer (PC) 30 for receiving the information calculated by the server unit through wired or wireless communication; And a smart phone (40) that receives information calculated by the server unit and wirelessly displays the information on a mobile phone and uses the smart phone (40). Thus, the size and color of the fruit And realizing the change and position information of the fruit in real time, thereby enabling the user to predict the harvest time of the fruit.

At this time, the remote information collecting unit 10 includes a plurality of color sensors 3 for detecting changes in the color of fruits, a plurality of size measuring sensors A plurality of GPS modules 7 for providing information on the position of fruits and a color sensor 7 connected to the color sensor 3 and the identification sensor 5 and the GPS module 7, And a microcomputer 9 for collecting and processing data provided at the orchard site in order to receive information from them and integrate them.

delete

In addition, the server part 20 is a program for processing the provided information, and includes a user management, a harvesting statistics display, a harvestable segment display, and a collectable alerts notification function provided to the orchard manager, An application program which is implemented as an application program; A PhoneGap program for converting developed applications into a hybrid application form; Tomcat Server to perform web server functions; Windows, the operating system for Server; And a program.

The server part 20 transmits the information implemented and calculated in the web program to the user's smartphone 40 and the web on-line via an app, It is preferable to make it available through the computer 40.

In addition, the server part 20 includes an application for implementing user management, harvesting statistics display, harvestable segment display, and harvestable segment alerting information provided to the orchard manager in a web program form, A server 20 having a PhoneGap for converting the developed applications into a hybrid application form, a Tomcat Server serving as a Web server, and a window serving as an operating system for a server, ; The server 20 includes a GPS module 7 for providing GPS information of fruits, a mini-computer 9 for receiving information on the size and color information of fruits, and a microcomputer 9 for storing information A database system 25 is connected; Connecting a sensor unit (50) having a color measurement sensor (3) for identifying the color of fruit to the server (20) and a size measurement sensor (5) for identifying fruit size information; And a client unit 60 for notifying and utilizing the information calculated and stored in the server 20 to the personal computer 30 and the smartphone 40 of the user.

A method of managing a fruit harvesting time prediction system using a fruit harvesting time predicting system for predicting fruit harvesting time according to an embodiment of the present invention includes the steps of attaching a size measuring sensor and a color measuring sensor to a sampled fruit number (S10); A fruit water data transmitting step (S20) of collecting size, color, and position data for fruits of a fruit number and transmitting the data to a mini-computer for data collection; An orchard information transmission step (S30) of providing data provided to the data minicomputer to a server; An information processing step (S40) of analyzing data provided to the server, processing, classifying and processing information inputted by the user; And a user information providing step (S50) for uploading and transmitting the processed information to the mobile and the PC.

First, farm managers can reduce manpower consumption by eliminating the need to identify fruits every day to determine when to pick fruit.

Secondly, by harvesting the harvest season every year for each farm section, it is possible to control the harvesting time of the same type of fruit number constantly by identifying the cause of the poor harvest time.

Third, the use of a system that automatically informs harvest time allows farm managers to manage a wider area.

FIG. 1 illustrates a business architecture of a fruit harvesting time prediction system according to an embodiment of the present invention. FIG. 1 is a diagram illustrating a flow of a fruit harvesting time prediction system,
FIG. 2 illustrates a system architecture of a fruit harvesting-time prediction system according to an embodiment of the present invention, which is a system configuration diagram for explaining an internal configuration of a fruit harvesting-time prediction system and its operation,
FIG. 3 is a flow chart for explaining a procedure of a prediction method using a fruit harvesting time predicting system according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

(Example)

1. Fruit harvest timing prediction system

The system for predicting fruit harvesting time according to an embodiment of the present invention includes a remote information collecting unit 10 for collecting fruit size, color and position information; A user management unit 22 provided to the orchard manager to perform information management and analysis by the user, a harvest statistic display unit 24, and a cropable partition display unit 26 ), And a collectable notifying section (28), and a server section (20) for implementing and executing each function in the form of a web program; A personal computer (PC) 30 for receiving the information calculated by the server unit through wired or wireless communication; And a smart phone (40) that receives information calculated by the server unit and wirelessly displays the information on a mobile phone and uses the smart phone (40). Thus, the size and color of the fruit And the location information of the fruit in real time, so that the user can predict the harvest time of the fruit.

The configuration and effect of the fruit harvesting time predicting system according to an embodiment of the present invention will be described with reference to FIGS. 1 to 2. FIG.

FIG. 1 is a diagram illustrating a business architecture of a fruit harvesting-time prediction system according to an embodiment of the present invention. FIG. 2 shows a system architecture of a system for predicting a fruit harvest time according to the present invention, and a system configuration diagram for explaining a system internal configuration and a function of the system for predicting a fruit harvest time.

 The remote information collecting unit 10 is an information collecting unit for collecting size, color, and position information of fruits planted in the orchard. In the remote information collecting unit 10, a change in color, a change in size, and position information of a fruit of a fruit planted in an orchard are received and processed. At this time, Minicom, which is easy to install and operate in the field, is used for data collection and processing.

The server part (20) receives information collected from the remote information collecting part (10) and performs computational processing and display to perform information management and analysis by the user.

The personal computer 30 and the smart phone 40 receive the information calculated by the server unit 20 through wired or wireless communication and transmit the information calculated by the server unit 20 wirelessly And displays it on the mobile phone so that the user can check and use the actual situation anytime and anywhere.

At this time, the remote information collecting unit 10 includes a plurality of color sensors 3 for detecting changes in the color of fruits, a plurality of size measuring sensors A plurality of GPS modules 7 for providing information on the position of the fruit and a plurality of GPS modules 7 and 7 for measuring the color of the fruits and the size measurement sensor 5 and the GPS module 7, And a microcomputer 9 for collecting and processing data installed in the orchard site in order to receive information from the microcomputer 10 and to process the integrated information.

1, there is shown a color sensor 3, a size sensor 5 and a GPS module 7, each of which has a color sensor 3, a water sensor 5, The number of installations can be changed according to the number of fruit and the amount of fruit.

 At this time, the color sensor 3 senses a change in the color of the fruit and provides the information to the microcomputer 9, and the size sensor 5 detects the size change of the fruit And provides the information to the microcomputer 9. The GPS module 7 provides the microcomputer 9 with information on the location of the fruit to be measured. In the present invention, Rasberry Pi is used as a microcomputer 9 to collect color, size and position information of fruits and transmit data.

This allows the user to accurately predict the harvest time of the fruit by accurately grasping the size and color of the fruit and the location information in real time, even when the orchard or fruit is planted.

Next, the server part 20 includes a user management part 22 provided to the orchard manager, a harvest statistic display part 24, a harvestable segment display part 26, and a harvestable segment announcing part 28), and each function is implemented in the form of a web program and executed.

 The user management unit 22 registers the fruit harvesting time prediction system using the fruit harvesting time prediction system according to the embodiment of the present invention and logs in the system to use the system. By doing so, all the orchard managers (users) using the fruit harvesting time prediction system according to an embodiment of the present invention can be integrally managed in the server.

In addition, the user management unit 22 can manually input a color reference and a size reference, which are harvest criteria used by the orchard manager.

The harvest statistic display unit 24 manages the fruit harvesting time for each compartment every year, and manages the compartments with poor fruit harvest.

The harvestable compartment display unit 26 divides the whole orchard area into management compartments, and divides the harvestable compartments into hues (indicating the harvestable compartments in green, etc.) to the orchard manager. Specifically, the entire management area can be identified by setting it in the order of numbers or symbols.

The receivable segment announcing unit 28 informs the mobile device when the specific segment reaches the harvestable state because the manager of the fruit or vegetable garden can not always observe the fruit harvesting time predicting system according to an embodiment of the present invention. The judgment of this period is automatically provided with the location information of the area when the predetermined criteria are met according to the color and size of the fruit and the provided fruit.

Next, the server part 20 is provided with a Web application server (hereinafter also referred to as 'WAS') as a program for processing the provided information, and is provided to the orchard manager (user) An application in which a user management, a harvesting statistics display, a harvestable segment display, and a harvestable segment notice function are implemented in the form of a web program; A PhoneGap program for converting developed apps into a hybrid app form; Tomcat Server to perform web server function; Windows, the operating system for Server; And a program.

The web application server 20 is a middleware (software engine) for executing an application on a user's computer or a device via HTTP on the Internet.

The application is implemented in the form of a web program, which is provided to the orchard manager (user), such as user management, harvesting statistics display, harvestable segment display, and harvestable segment notifying function.

 The PhoneGap program is a program for converting the developed apps into a hybrid application form.

The Tomcat Server is a server for performing a Web server function,

The window is an operating system for a server.

Next, the server part 20 transmits the information implemented and calculated in the web program to the smart phone 40 of the user and the web on-line through the app, So that it can be utilized through the personal computer 30.

In addition, the server part 20 includes an application for implementing user management, harvesting statistics display, harvestable segment display, and harvestable segment alerting information provided to the orchard manager in a web program form, A server 20 having a PhoneGap for converting developed applications into a hybrid application form, a Tomcat Server serving as a Web server, and a window serving as an operating system for a server, .

The server 20 includes a GPS module 7 for providing GPS information of fruits, a mini-computer 9 for receiving information on the size and color information of fruits, and a microcomputer 9 for storing information A database system 25 is connected.

A sensor unit 50 having a color measurement sensor 3 for identifying the color of fruit and a size measurement sensor 5 for identifying fruit size information is connected to the server 20.

And a client unit 60 for notifying and utilizing the information calculated and stored in the server 20 to the personal computer 30 and the smartphone 40 of the user.

2, the sensor unit 50 constituting the fruit harvesting time prediction system 100 according to an embodiment of the present invention includes a plurality of color measurement sensors 3 and a plurality of size measurement sensors 5, The color information and the size information of the server 60 are transmitted to the server unit 60.

The server unit receives the color information and size information input from the color measurement sensor 3 and the size measurement sensor 5 at the raspberry pie (microcomputer) 9, And then converts the information into stream data using Intelligent Parser and transmits it to WAS. In the WAS, the received data is converted into data of a basic type (numeric, character string) and stored in a database system (25) and managed. In addition, a service is provided to the client unit 70 such as the PC 30 and the smartphone 40.

The client unit 70 provides a service provided by the WAS of the server 20 in the form of a hybrid application or a web application in the smartphone 40, ).

At this time, WebApp refers to a system that enables users to view the same content from any terminal, regardless of the type of terminal, such as PC or smart phone. It is based on HTML5 and is rapidly spreading around contents companies including mobile games.

In the hybrid application, the core of the hybrid method satisfies both the performance of the native application and the compatibility of the web application with the webkit-based web component technology and the HTML5-based web technology at the same time. Hybrid apps make it easy to develop applications that work on a variety of platforms (iPhone, Android, Windows Phone, Sea, etc.).

According to the constitution of the present invention, it is possible to realize the effect of solving the problem of determining the fruit harvesting time at the farmhouse such as the orchard.

Analyzing the characteristics of fruits, similar fruit varieties have similar rates of fruit ripening. However, there is a difference in the speed at which the sunlight and the sunlight are not ripe. Based on these two characteristics, we choose the fruits to be sampled in the orchard.

In addition, the criteria for harvesting fruit are determined by the size and color of the fruit. A certain number of trees are sampled by a certain area and a size measuring sensor 5 and a color measuring sensor 3 are attached to a tree selected as a sampling tree. The size measuring sensor 5 and the color measuring sensor 3 transmit the color and size information of the opened fruit to be used for sampling to the microcomputer 9 (such as Raspberry Pie).

At this time, the microcomputer 9 transmits color information, size information, and position information of fruits to the server unit 60, which is a server computer.

In addition, the server (computer) 60 analyzes and processes the information and notifies the mobile smartphone 40 or the PC 30, which is owned by the orchard manager, Identify the situation and forecast the harvesting time.

2. How to manage fruit harvesting time prediction system

Next, a method for managing a fruit harvesting time prediction system using a fruit harvesting time prediction system for predicting a fruit harvesting time according to an embodiment of the present invention includes a step of attaching a size measurement sensor and a color measurement sensor to a sampled fruit number Step S10; A fruit water data transmitting step (S20) of collecting size, color, and position data for fruits of a fruit number and transmitting the data to a mini-computer for data collection; Providing data provided to the data minicomputer to a server (S30); An information processing step (S40) of analyzing data provided to the server, processing, classifying and processing information inputted by the user; And a user information providing step (S50) for uploading and transmitting the processed information to the mobile and the PC.

A method for managing a fruit harvesting time prediction system using the fruit harvesting time prediction system according to an embodiment of the present invention will be described with reference to FIG.

The step S10 of attaching the sensor is a step of attaching the color measurement sensor 3 and the size measurement sensor 5 to the fruit of the sampled fruit number and attaching these sensors to the fruit of the orchard to prepare for collecting information .

The fruit data transferring step S20 is a step of collecting size, color and position data for fruits of a fruit number and transmitting them to the MiniCom 9 for data collection.

The orchard information transmission step (S30) is a step of providing data provided to the data collection minicom to the server unit (60).

The information processing step S40 is a step of analyzing the data provided to the server unit 60, processing and classifying the information inputted by the user, and informing the information.

The user information providing step (S50) is a step for uploading the processed information to the mobile and the PC.

A method for managing a fruit harvesting time prediction system using the fruit harvesting time prediction system according to an embodiment of the present invention will be described.

In the present invention, a size measuring sensor and a color measuring sensor are used to determine the harvest time of the fruit. At this time, by automatically checking the size and color of the most important fruits and informing the orchard managers of their PC or smart phone, it is possible to minimize the manpower consumption for determining the time of fruit harvest and to harvest fruit at the optimum harvesting time And realize the effect of producing high quality fruit.

At this time, the optimum harvesting time is judged based on the size and color information designated by the orchard manager.

As described above, a management method using a color measurement sensor and a size measurement sensor using a fruit harvesting time prediction system used in a fruit harvesting time prediction system according to an embodiment of the present invention can be implemented.

Specifically, the most important part of the orchard is to produce high quality fruit. In order to produce high quality fruits, it is important to provide an environment where fruits can grow well, but it is also important to harvest fruits on time.

At present, there is no system in the orchard for precisely estimating the time of harvest of fruit, so the orchard administrators have had to manually inspect the orchards' fruits to determine the harvesting time of the fruits.

The idea of predicting the timing of fruit harvesting presented in the present invention can provide a landmark turning point for increasing the efficiency of fruit harvesting.

The Internet (IoT) -based architecture for developing a fruit harvesting time prediction system app according to the present invention will be further described as follows.

The system architecture proposed in the present invention is designed to construct a system for predicting the time of fruit harvest using a system configuration commonly used in existing web and application development.

Using the color measurement sensor and the size measurement sensor, the fruit information (color information, size, and the like) of the sampled tree can be obtained by classifying a large-sized orchard as a certain section by referring to the characteristic that fruits of similar kinds of fruits can be harvested at a similar time Information, etc.).

In the raspberry pie used as the microcomputer 9, position information is obtained using the GPS module 7, and then added to the data list to be transmitted to the server 20.

As such, when fruit information (color information, size information, location information, etc.) is converted from Raspberry pie to stream data and transferred to a web application server (WAS), a web, a hybrid application (HibridApp) The service can be provided to the client in the form of < RTI ID = 0.0 >

At this time, the PC user can receive the service of the system using the general PC by the orchard manager, and the service is provided in the form of web on the PC

The database system stores and manages data used in the system.

The server 20 processes the data received by the microcomputer 9 and provides user management, harvest statistic display, harvestable segment display, and collectable snapshot notification function.

The color measurement sensor (3) transmits the color information of the fruit to the raspberry pie.

The size measuring sensor 5 transmits the size information of the fruit to the raspberry pie.

The GPS module 7 transmits the location information to the Raspberry pie.

The raspberry pie transmits the fruit size information, color information, location information, and raspberry pie information to the server (20).

A user of the smartphone 40 (SmartPhone User) is provided with the service by the orchard manager using the smartphone.

HybridApp and WebApp services are provided on smartphones.

According to the embodiment of the present invention, the orchard manager using the PC 3 provides a service of a fruit harvesting time prediction system in the form of a web.

In the database system, information related to harvesting time and information processed in the server are stored and managed in the raspberry pie installed in the orchard.

Users, ie orchard managers, can receive system services from PCs or smart phones.

The present invention is an invention using the internet (IoT) technology in the field of agriculture and provides ideas and an architecture for developing a fruit harvest timing prediction system to help produce fruit of excellent quality in orchards.

Sampling the trees according to the same kind and amount of the same kind of trees among the whole orchards. We install sizing sensors, color measurement sensors and raspberry pie, which are now widely available in sampled wood.

The size and color information of the fruits in each sampled tree is transferred to Raspberry Pie, which sends the fruit information to the WAS, including location information, from the Raspberry Pie.

The WAS uses the received data to display user management, harvest statistics, harvestable segment display, and harvestable segment notifications in the form of a hybrid application using the Web or PhoneGap platform to a user device (personal computer, SmartPhone, etc.).

If orchard managers can accurately predict when fruit will be harvested, fruit products can be harvested in the best conditions, improving farm profits.

In addition, the annual harvest timing statistics of the whole orchard can improve the overall yield by concentrating the poorly developed compartments.

While the present invention has been described with reference to exemplary embodiments, it is to be understood that those skilled in the art will appreciate that various modifications, additions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims. Of the present invention.

1: fruit number
3: Color Sensor 5: Size Sensor (Size Sensor)
7: GPS module 9: Micom
10: remote information collecting unit
20: Server 22: User Management Section
24: Harvesting statistics display section 26: Harvesting compartment display section
28: Reminder notice
30: Personal computer (PC)
40: Smart Phone
42: hybrid app 44: web app
50: Sensor Part
60: Server Part
70: Client Part
100: Fruit harvest timing prediction system

Claims (7)

A system for predicting fruit harvest time,
A remote information collecting part 10 including a micom 9 for data collection and processing installed in an orchard site to collect fruit size, color, and location information;
A user management unit 22 provided to the orchard manager to perform information management and analysis by the user, a harvest statistic display unit 24, and a cropable partition display unit 26 ), And a collectable notifying section (28), and a server section (20) for implementing and executing each function in the form of a web program;
A personal computer (PC) 30 for receiving the information calculated by the server unit through wired or wireless communication; And
And a smart phone (40) that receives information calculated by the server unit and wirelessly displays the information on a mobile phone and uses the smart phone (40). Thus, the fruit size and color A fruit harvest timing prediction system (100) that allows a user to predict when fruit will be harvested by knowing the change and location information in real time. The remote information collecting part (10) according to claim 1, wherein the remote information collecting part (10) comprises: a plurality of color measuring sensors (3) for detecting a change in color of fruit; a plurality of color measuring sensors A plurality of GPS modules 7 for providing information on the position of fruits and a color sensor 3 for measuring the color of the fruits and a size measuring sensor 5 and a GPS module And a microcomputer (9) for collecting and processing data installed in the orchard site in order to receive and receive information from the fruit collecting system (7). The fruit harvesting time predicting system (100) . delete The server part (20) according to claim 2, wherein the server part (20) is a program for processing the provided information and includes user management provided to the orchard manager, a harvesting statistics display, a harvestable segment display, An application program implemented in the form of a web program; A PhoneGap program for converting developed apps into a hybrid app form; Tomcat Server to perform web server function; Windows, the operating system for Server; And a program for predicting the fruit harvest time of the fruit. The server part (20) according to claim 4, wherein the server part (20) transmits the information implemented and calculated in the web program to the user's smartphone (40) and an online web via an app So that the fruit harvesting time can be utilized at a remote place through the personal computer (40). The server part (20) as claimed in claim 5, wherein the server part (20) comprises: an app for implementing user management, harvesting statistics display, harvestable segment display, (Tomcat Server) that acts as a Web server, and a window (Windows), which is an operating system for a server, as a hybrid application, (20);
The server 20 includes a GPS module 7 for providing GPS information of fruit, a microcomputer 9 for receiving information on the size and color information of fruits, a database 9 for storing the calculated information, System 25;
Connecting a sensor unit (50) having a color measurement sensor (3) for identifying the color of fruit to the server (20) and a size measurement sensor (5) for identifying fruit size information;
And a client unit (60) for informing and utilizing the information calculated and stored in the server (20) to the user's personal computer (30) and the smartphone (40). Fruit Harvest Prediction System (100).

delete

Images