WO2018120660A1

WO2018120660A1 - Planting recommendation method and apparatus based on planting greenhouse

Info

Publication number: WO2018120660A1
Application number: PCT/CN2017/087987
Authority: WO
Inventors: 王刚
Original assignee: 深圳前海弘稼科技有限公司
Priority date: 2016-12-29
Filing date: 2017-06-13
Publication date: 2018-07-05
Also published as: CN106649815A

Abstract

A planting recommendation method and apparatus based on a planting greenhouse. The method comprises the following steps: receiving a recommendation request for a plant to be planted in a target planting greenhouse (S110); analysing pre-obtained historical price data, and determining an annual price trend of each kind of plant (S120); for each kind of plant, determining whether the maximum price of this kind of plant is seasonal (S130); if so, according to a growth cycle of this kind of plant and a time period during which the maximum price of this kind of plant appears most frequently, determining whether this kind of plant is a plant recommended to be planted for the target planting greenhouse (S140); and outputting information about all the determined plants recommended to be planted for the target planting greenhouse (S150). The method can provide an effective reference for a planting greenhouse manager to finally determine what kinds of plant is planted in a target planting greenhouse, and can increase economic benefits of the target planting greenhouse.

Description

Planting recommendation method and device based on planting greenhouse

This application claims priority to Chinese Patent Application No. 201611245535.0, entitled "A Method and Apparatus for Planting Based on Planting Greenhouses" on December 29, 2016, the entire contents of which are incorporated by reference. In this application.

Technical field

The present application relates to the field of computer application technology, and in particular, to a planting recommendation method and device based on a greenhouse.

Background technique

With the advancement of science and technology, agricultural planting technology has developed rapidly, and the cultivation of greenhouse managers to rationally use agricultural planting techniques can increase crop yields.

At present, most of the greenhouse managers are determined by their own experience which plants to plant in the greenhouse. When the plants are mature, they may be less economically profitable due to current price factors.

Therefore, how to determine the plants that can be planted in the greenhouse and improve the economic benefits is an urgent problem to be solved by those skilled in the art.

Summary of the invention

The purpose of the application is to provide a planting greenhouse-based recommended method and device for providing a reference for planting plants and improving economic benefits.

To solve the above technical problem, the present application provides the following technical solutions:

A recommended method for planting based on planting greenhouses, including:

Receiving a recommendation request for planting plants for the target greenhouse;

Analyze historical price data obtained in advance to determine the annual price trend of each plant;

For each plant, determine whether the highest price of the plant is seasonal based on the annual price trend of the plant;

If yes, determining whether the plant is a recommended planting plant for the target planting greenhouse according to a growth period of the plant and a time period in which the highest price of the plant occurs most frequently;

Information is determined for all recommended planting plants for the target planting greenhouse.

In a specific embodiment of the present application, the method determines, for each plant, whether the highest price of the plant is seasonal according to the annual price trend of the plant, including:

For each plant, according to the annual price trend of the plant, if it is determined that the ratio of the number of times the highest price of the plant occurs in the same time period is greater than a preset threshold, it is determined that the highest price of the plant is seasonal.

In a specific embodiment of the present application, the determining whether the plant is a recommended planting plant for the target planting greenhouse according to a growth period of the plant and a time period in which the highest price of the plant occurs most frequently occurs. ,include:

Determining, according to the growth cycle of the plant, whether the time period from when the plant is planted to the time when the plant matures is the same as the time period in which the highest price of the plant appears most frequently;

If so, it is determined that the plant is the recommended plant for planting the greenhouse for the target.

In a specific embodiment of the present application, when the planting period from the current time to the maturity of the plant is the same as the time period in which the highest price of the plant appears most frequently, Before determining that the plant is the recommended plant for the target greenhouse, it also includes:

Determine whether the highest price of the plant is regional based on the annual price trend of the plant;

If yes, it is determined whether the plant is the recommended planting plant for the target planting greenhouse according to the geographical location of the target planting greenhouse and the region where the highest frequency of the plant appears most frequently.

In a specific implementation manner of the application, the method further includes:

For each plant, determine whether the lowest price of the plant is seasonal based on the annual price trend of the plant;

If yes, it is determined whether the plant is a non-recommended planting plant for the target planting greenhouse according to the growth period of the plant and the time period in which the lowest price of the plant appears most frequently.

A planting recommendation device based on planting greenhouses, including:

a request request receiving module for receiving a recommendation request for a planting plant in a target planting greenhouse;

A price trend determination module for analyzing historical price data obtained in advance to determine the annual price trend of each plant;

a seasonal determination module for determining, for each plant, whether the highest price of the plant is seasonal according to the annual price trend of the plant; if so, triggering the recommendation module;

The recommendation module is configured to determine whether the plant is a recommended planting plant for the target planting greenhouse according to a growth period of the plant and a time period in which the highest price of the plant occurs most frequently;

An information output module, configured to output the determined information of all recommended planting plants for the target planting greenhouse.

In a specific implementation manner of the present application, the seasonal determining module is specifically configured to:

In a specific implementation manner of the application, the recommendation module is specifically configured to:

In a specific implementation manner of the application, the recommendation module is further configured to:

When the time period from planting the plant to the maturity of the plant from the current time coincides with the time period in which the highest price of the plant appears most frequently, the determination of the plant as the target planting greenhouse is recommended. Before planting a plant, determine whether the highest price of the plant is regional based on the annual price trend of the plant;

Applying the technical solution provided by the embodiment of the present application, when receiving the recommendation request for the planting plant in the target planting greenhouse, analyzing the historical price data obtained in advance, the annual price trend of each plant can be determined, for each plant According to the price trend of the plant, it can be determined whether the highest price of the plant has a seasonality, and if it is seasonal, it is determined according to the growth period of the plant and the highest frequency of the plant. Whether the plant is the recommended plant for the target greenhouse, and outputting the information of all the recommended plants for the target greenhouse, providing an effective reference for the planter to determine which plant to plant in the target greenhouse. It can improve the economic benefits of the target greenhouse.

DRAWINGS

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings to be used in the embodiments or the prior art description will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present application, and other drawings can be obtained according to the drawings without any creative work for those skilled in the art.

1 is a flow chart of implementation of a planting greenhouse-based planting recommendation method according to an embodiment of the present application;

2 is a schematic structural view of a planting recommendation device based on a planting greenhouse in the embodiment of the present application.

detailed description

In order to enable those skilled in the art to better understand the solution of the present application, the following The embodiments of the present invention are further described in detail. It is apparent that the described embodiments are only a part of the embodiments of the present application, and not all of them. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

Referring to FIG. 1 , which is a flowchart of an implementation method for planting greenhouse-based planting according to an embodiment of the present application, the method may include the following steps:

S110: Receive a recommendation request for planting plants in the target greenhouse.

In the planning of the planting of the target planting greenhouse, the planting greenhouse manager can issue a recommendation request for the planting plant for the target planting greenhouse. The plant can be a fruit, a vegetable or a flower.

Upon receiving the recommendation request for the planting plant of the target planting greenhouse, the operation of step S120 may be continued.

S120: Analyze the historical price data obtained in advance to determine the annual price trend of each plant.

In the embodiment of the present application, historical price data of various plants can be obtained by data collection.

The historical price data collected can be seen in Table 1:

Table 1

The collection of historical price data for various plants is a continuous process. Through the continuous collection of historical price data of various plants at different times and in different regions, a large amount of historical price data can be obtained.

After receiving a recommendation request for the planted plant in the target greenhouse, the historical price data obtained in advance can be analyzed to determine the annual price trend of each plant.

Specifically, the historical price of each plant at each time point per year can be extracted from the historical price data of each plant obtained in advance. For a certain point in time, you can choose this time The highest price in the interval is the price at that point in time. Establish a coordinate system with the time point as the abscissa and the price as the ordinate, and get the annual price trend of each plant. The time can be measured in days.

S130: For each plant, determine whether the highest price of the plant is seasonal according to the annual price trend of the plant.

The annual price trend of each plant is determined in step S120. For a certain plant, based on the annual price trend of the plant, it can be determined whether the highest price of the plant is seasonal.

In a specific implementation manner of the present application, step S130 may include the following steps:

In the embodiment of the present application, one year may be continuously divided into multiple time segments, for example, divided according to quarters, or divided by days.

For a certain plant, the annual price trend of the plant can be analyzed as the time period during which the highest price of the plant appears. If the highest price of the plant occurs at a higher frequency in the same time period, it can be expected that the plant will have a higher price during this time of the year.

If the ratio of the number of times the highest price of the plant occurs in the same time period to the number of years is greater than a predetermined threshold, it can be determined that the highest price of the plant is seasonal.

For example, in a three-year plant, the highest price appears in October as 2 times, the ratio of the number of times to the number of years is 2/3, the preset threshold is 1/2, and the ratio of the number of times to the number of years is greater than the preset threshold. It can be determined that the highest price of the plant is seasonal.

If it is determined that the highest price of the plant has a seasonality, the operation of step S140 may be continued. If it is determined that the highest price of the plant is not seasonal, then no treatment can be done.

S140: Determine whether the plant is a recommended planting plant for the target planting greenhouse according to the growth period of the plant and the most frequent time period of the highest price of the plant.

Each plant has a different growth cycle. The growth cycle refers to the time from time when the plant is planted to mature. The current recommendation request is to determine which plant to plant in the target planting greenhouse, and it will take some time from plant planting to maturity harvesting.

For a certain plant, if the highest price of the plant is seasonal, then The plant's growth cycle and the highest price of the plant appear at the most frequent time period to determine whether the plant is the recommended plant for the target planting greenhouse.

In a specific implementation manner of the present application, step S140 may include the following steps:

Step 1: According to the growth cycle of the plant, determine whether the time period from when the plant is planted to the time when the plant matures is the same as the time period in which the highest price of the plant appears most frequently; if yes, Then perform step two;

Step 2: Determine the plant as the recommended plant for the target greenhouse.

For a certain plant, the plant has a specific growth cycle. According to the growth period of the plant, it is possible to estimate the time period from when the plant is planted to the current time to the maturity of the plant, and whether the time period in which the highest frequency of the plant is most frequently occurring is determined. Consistent. If consistent, it can be determined that the plant is the recommended plant for the target greenhouse. If they are inconsistent, the current target planting greenhouse may not be suitable for planting the plant.

S150: Outputting the determined information of all recommended planting plants for the target planting greenhouse.

After determining the recommended planting plants for the target greenhouse, the information about all the recommended planting plants for the target planting greenhouse can be output, such as the name information, the highest price information, the time period information of the highest price, and the geographical information of the highest price. Wait.

Planting greenhouse managers will use this information as an effective reference for planting plants in greenhouses to further determine which plants to plant in the target greenhouse.

Applying the method provided in the embodiment of the present application, when receiving the recommendation request for the planting plant in the target planting greenhouse, analyzing the historical price data obtained in advance, the annual price trend of each plant can be determined, for each plant, According to the price trend of the plant, it can be determined whether the highest price of the plant has a seasonality, and if it is seasonal, it is determined according to the growth period of the plant and the highest frequency of the plant. Whether the plant is the recommended plant for the target greenhouse, and outputs the information of all the recommended plants for the target greenhouse, which provides an effective reference for the planter to determine which plant to plant in the target greenhouse. Improve the economic benefits of the target greenhouse.

In one embodiment of the present application, the method may further include, when the time period from when the plant is planted from the current time until the plant matures coincides with the time period in which the highest price of the plant appears most frequently. The following steps:

The first step: determining whether the highest price of the plant is regional according to the annual price trend of the plant; if yes, performing the second step;

The second step: determining whether the plant is the recommended plant for the target greenhouse, according to the geographical location of the target greenhouse and the highest frequency of the plant.

For a certain plant, it is estimated that the planting period from the current time to the time when the plant matures, if the time period coincides with the most frequent time period of the highest price of the plant, Further determining whether the highest price of the plant is regional based on the annual price trend of the plant.

Specifically, the ratio of the number of times the plant appears in the same region to the number of years can be determined to determine whether the highest price of the plant is regional. For example, if the ratio of the number of times the highest price of the plant appears in the same area to the number of years is greater than a predetermined threshold, it can be determined that the highest price of the plant is regional.

If it is determined that the highest price of the plant is regional, the plant can be determined to be the recommended planting plant for the target greenhouse according to the geographic location of the target greenhouse and the highest frequency of the plant.

The distance between the two can be determined according to the geographical location of the target greenhouse and the highest frequency of the plant. In practical applications, the distance threshold can be preset according to transportation costs and the like. If the determined distance between the two is less than the distance threshold, it may be determined that the plant is the recommended planting plant for the target greenhouse. When the plant is ripe, it can be shipped to the area for sale.

In practical applications, for a certain plant, if the planting period from the current time to the plant matures, the time period coincides with the frequency at which the highest price of the plant appears most frequently, but the target planting The plant can be identified as a non-recommended plant when the geographical location of the greenhouse and the distance of the region where the highest frequency of the plant is most frequently greater than or equal to the preset distance threshold.

In an embodiment of the present application, the method may further include the following steps:

Step 1: For each plant, determine whether the lowest price of the plant has a seasonality according to the annual price trend of the plant; if yes, perform step 2;

Step 2: The frequency of occurrence occurs according to the growth period of the plant and the lowest price of the plant The time period to determine whether the plant is a non-recommended plant for the target greenhouse.

For a certain plant, based on the annual price trend of the plant, it can be determined whether the lowest price of the plant is seasonal. Specifically, the ratio of the number of times that the lowest price of the plant appears in the same time period to the number of years can be determined to be seasonal. If so, it can be determined whether the plant is a non-recommended plant for the target planting greenhouse according to the plant's growth cycle and the most frequent time period of the plant's lowest price.

Specifically, if the planting period from the current time to the time when the plant matures coincides with the time period in which the lowest price of the plant appears most frequently, the plant can be determined as a non-recommended plant. To avoid selling at the lowest price of the plant and to reduce the price risk.

Corresponding to the above method embodiment, the embodiment of the present application further provides a planting recommendation device based on planting greenhouse, a planting recommendation device based on planting greenhouse and a planting greenhouse-based planting recommendation described above. The methods can be referred to each other.

Referring to Figure 2, the device includes the following modules:

a recommendation request receiving module 210, configured to receive a recommendation request for a planting plant in the target planting greenhouse;

The price trend determining module 220 is configured to analyze the historical price data obtained in advance to determine the annual price trend of each plant;

a seasonal determination module 230, for each plant, according to the annual price trend of the plant, determine whether the highest price of the plant has a seasonality; if so, trigger the recommendation module 240;

The recommendation module 240 is configured to determine whether the plant is a recommended planting plant for the target planting greenhouse according to the growth period of the plant and the time period in which the highest price of the plant occurs most frequently;

The information output module 250 is configured to output the determined information of all recommended planting plants for the target planting greenhouse.

Applying the device provided in the embodiment of the present application, when receiving the recommendation request for the planting plant in the target planting greenhouse, analyzing the historical price data obtained in advance, the annual price trend of each plant can be determined, for each plant, According to the price trend of the plant, it can be confirmed Whether the highest price of the plant is seasonal, if it is seasonal, according to the growth period of the plant and the highest frequency of the plant, the plant is determined to be the target planting greenhouse. It is recommended to plant the plants and output the information of all the recommended planting plants for the target greenhouse. It will provide an effective reference for the planting greenhouse managers to determine which plants to plant in the target greenhouse, which can improve the economic benefits of the target greenhouse.

In a specific implementation manner of the present application, the seasonal determining module 230 is specifically configured to:

In a specific implementation manner of the application, the recommendation module 240 is specifically configured to:

If so, the plant is determined to be the recommended plant for the target greenhouse.

In a specific implementation manner of the present application, the recommendation module 240 is further configured to:

When the time period from planting the plant to the maturity of the plant from the current time coincides with the most frequent time period of the highest price of the plant, the plant is determined to be the recommended plant for the target planting greenhouse. Previously, based on the annual price trend of the plant, determine whether the highest price of the plant is regional;

If yes, determine whether the plant is the recommended plant for the target greenhouse, depending on the geographical location of the target greenhouse and the highest frequency of the plant.

If yes, the plant is determined to be a non-recommended plant for the target greenhouse, based on the plant's growth cycle and the most frequent occurrence of the plant's lowest price.

The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on differences from other embodiments, and the same or similar parts of the respective embodiments may be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, Therefore, the description is relatively simple, and the relevant parts can be described in the method section.

A person skilled in the art will further appreciate that the elements and algorithm steps of the various examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware, computer software or a combination of both, in order to clearly illustrate the hardware and software. Interchangeability, the composition and steps of the various examples have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods to implement the described functions for each particular application, but such implementation should not be considered to be beyond the scope of the present application.

The steps of a method or algorithm described in connection with the embodiments disclosed herein can be implemented directly in hardware, a software module executed by a processor, or a combination of both. The software module can be placed in random access memory (RAM), memory, read only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or technical field. Any other form of storage medium known.

The principles and embodiments of the present application have been described in the following by using specific examples. The description of the above embodiments is only for helping to understand the technical solutions of the present application and the core ideas thereof. It should be noted that those skilled in the art can make several modifications and changes to the present application without departing from the scope of the present application. These modifications and modifications are also within the scope of the appended claims.

Claims

A planting recommendation method based on planting greenhouses, characterized in that it comprises:

Receiving a recommendation request for planting plants for the target greenhouse;

Analyze historical price data obtained in advance to determine the annual price trend of each plant;

For each plant, determine whether the highest price of the plant is seasonal based on the annual price trend of the plant;

If yes, determining whether the plant is a recommended planting plant for the target planting greenhouse according to a growth period of the plant and a time period in which the highest price of the plant occurs most frequently;

Information is determined for all recommended planting plants for the target planting greenhouse.
The planting greenhouse-based planting recommendation method according to claim 1, wherein the determining, for each plant, whether the highest price of the plant is seasonal according to the annual price trend of the plant comprises:

For each plant, according to the annual price trend of the plant, if it is determined that the ratio of the number of times the highest price of the plant occurs in the same time period is greater than a preset threshold, it is determined that the highest price of the plant is seasonal.
The planting greenhouse-based planting recommendation method according to claim 1, wherein the plant is determined to be targeted according to a growth period of the plant and a time period in which the highest price of the plant occurs most frequently. Recommended planting plants for target greenhouses, including:

Determining, according to the growth cycle of the plant, whether the time period from when the plant is planted to the time when the plant matures is the same as the time period in which the highest price of the plant appears most frequently;

If so, it is determined that the plant is the recommended plant for planting the greenhouse for the target.
The planting greenhouse-based planting recommendation method according to claim 3, characterized in that the time period from when the plant is planted to the current time to the maturity of the plant and the highest price of the plant appear most frequently When the time period is consistent, before the plant is determined to be the recommended plant for the target greenhouse, the following includes:

Determine whether the highest price of the plant is regional based on the annual price trend of the plant;

If yes, the geographical location of the greenhouse and the highest price of the plant are based on the target The region with the highest frequency is determined whether the plant is the recommended plant for planting the greenhouse for the target.
The planting greenhouse-based planting recommendation method according to any one of claims 1 to 4, further comprising:

For each plant, determine whether the lowest price of the plant is seasonal based on the annual price trend of the plant;

If yes, it is determined whether the plant is a non-recommended planting plant for the target planting greenhouse according to the growth period of the plant and the time period in which the lowest price of the plant appears most frequently.
A planting recommendation device based on a planting greenhouse, characterized in that it comprises:

a request request receiving module for receiving a recommendation request for a planting plant in a target planting greenhouse;

A price trend determination module for analyzing historical price data obtained in advance to determine the annual price trend of each plant;

a seasonal determination module for determining, for each plant, whether the highest price of the plant is seasonal according to the annual price trend of the plant; if so, triggering the recommendation module;

The recommendation module is configured to determine whether the plant is a recommended planting plant for the target planting greenhouse according to a growth period of the plant and a time period in which the highest price of the plant occurs most frequently;

An information output module, configured to output the determined information of all recommended planting plants for the target planting greenhouse.
The planting greenhouse-based planting recommendation device according to claim 6, wherein the seasonal determination module is specifically configured to:

For each plant, according to the annual price trend of the plant, if it is determined that the ratio of the number of times the highest price of the plant occurs in the same time period is greater than a preset threshold, it is determined that the highest price of the plant is seasonal.
The planting greenhouse-based planting recommendation device according to claim 6, wherein the recommendation module is specifically configured to:

According to the growth cycle of the plant, it is determined that planting the plant from the current time to the species Whether the time period when the plant matures is consistent with the time period in which the highest price of the plant appears most frequently;

If so, it is determined that the plant is the recommended plant for planting the greenhouse for the target.
The planting greenhouse-based planting recommendation device according to claim 8, wherein the recommendation module is further configured to:

When the time period from planting the plant to the maturity of the plant from the current time coincides with the time period in which the highest price of the plant appears most frequently, the determination of the plant as the target planting greenhouse is recommended. Before planting a plant, determine whether the highest price of the plant is regional based on the annual price trend of the plant;

If yes, it is determined whether the plant is the recommended planting plant for the target planting greenhouse according to the geographical location of the target planting greenhouse and the region where the highest frequency of the plant appears most frequently.
The planting greenhouse-based planting recommendation device according to any one of claims 6 to 9, wherein the recommendation module is further configured to:

For each plant, determine whether the lowest price of the plant is seasonal based on the annual price trend of the plant;

If yes, it is determined whether the plant is a non-recommended planting plant for the target planting greenhouse according to the growth period of the plant and the time period in which the lowest price of the plant appears most frequently.