CN106649815A - Planting recommending method and device based on planting greenhouse - Google Patents
Planting recommending method and device based on planting greenhouse Download PDFInfo
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- CN106649815A CN106649815A CN201611245535.0A CN201611245535A CN106649815A CN 106649815 A CN106649815 A CN 106649815A CN 201611245535 A CN201611245535 A CN 201611245535A CN 106649815 A CN106649815 A CN 106649815A
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 230000001932 seasonal effect Effects 0.000 claims abstract description 11
- 230000035800 maturation Effects 0.000 claims description 16
- 230000008901 benefit Effects 0.000 abstract description 5
- 230000000694 effects Effects 0.000 abstract 1
- 241000196324 Embryophyta Species 0.000 description 287
- 238000007726 management method Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 238000010413 gardening Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
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- 230000003466 anti-cipated effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 235000012055 fruits and vegetables Nutrition 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
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Abstract
The invention discloses a planting recommending method based on a planting greenhouse. The method comprises the following steps that a recommending request for plants planted in a target planting greenhouse is received; historical price data obtained in advance is analyzed, and the annual price trend of each plant is determined; for each plant, whether the maximum price of the plant is seasonal or not is judged; if yes, according to the growth cycle of the plant and the period of time when the maximum price of the plant appears most frequently, whether the plant is the plant recommended for the target planting greenhouse; the determined information of all the recommended plants for the target planting greenhouse is output. According to the technical scheme, effective references can be provided for a planting greenhouse manager for finally determining which plants are planted in the target planting greenhouse, and economic benefits of the target planting greenhouse can be improved. The invention further discloses a plant recommending device based on the planting greenhouse, and the corresponding technical effects are achieved.
Description
Technical field
The present invention relates to Computer Applied Technology field, more particularly to a kind of plantation recommendation method based on planting greenhouse
And device.
Background technology
With the progress of science and technology, agricultural planting technique is developed rapidly, planting greenhouse manager's reasonable utilization
Agricultural planting technique, can improve crop yield.
At present, planting greenhouse manager is to determine which kind of plant is planted in planting greenhouse by experience mostly, etc.
When can list to plant maturation, because of present price factor the economic benefit for obtaining may be caused relatively low.
So, how to determine plantable plant in planting greenhouse, increase economic efficiency, it is current those skilled in the art
Urgent problem.
The content of the invention
It is an object of the invention to provide method and device is recommended in a kind of plantation based on planting greenhouse, think that user's plantation is planted
Thing provides reference frame, increases economic efficiency.
To solve above-mentioned technical problem, the present invention provides following technical scheme：
Method is recommended in a kind of plantation based on planting greenhouse, including：
Receive the recommendation request of the planting plants for target planting greenhouse；
Historical price data to being obtained ahead of time are analyzed, and determine the annual price trend of every kind of plant；
For every kind of plant, according to the price trend that this kind of plant is annual, whether the highest price for determining this kind of plant has
It is seasonal；
If it is, according to the growth cycle of this kind of plant and the highest price frequency of occurrence of this kind of plant most time
Section, determines that whether this kind of plant be the recommendation planting plants for the target planting greenhouse；
The information of all recommendation planting plants for the target planting greenhouse that output determines.
It is described for every kind of plant in a kind of specific embodiment of the present invention, according to the price that this kind of plant is annual
Whether tendency, the highest price for determining this kind of plant has seasonality, including：
For every kind of plant, according to the price trend that this kind of plant is annual, if it is determined that the highest price of this kind of plant occurs
It is more than predetermined threshold value in the number of times of same time period and the ratio of year, it is determined that the highest price of this kind of plant has seasonality.
In a kind of specific embodiment of the present invention, the growth cycle and this kind of plant according to this kind of plant is most
High price frequency of occurrence most time period, determine that whether this kind of plant be to plant for the recommendation plantation of the target planting greenhouse
Thing, including：
According to the growth cycle of this kind of plant, it is determined that from current time start plant this kind of plant to this kind of plant maturation when
Whether most with the highest price frequency of occurrence of this kind of plant time period residing time period be consistent；
If it is, determining that this kind of plant is the recommendation planting plants for the target planting greenhouse.
The present invention a kind of specific embodiment in, from current time start plant this kind of plant to this kind of plant into
When time period most with the highest price frequency of occurrence of this kind of plant residing time period is consistent when ripe, in described determination plantation
Thing is before the recommendation planting plants for target planting greenhouse, also to include：
According to the price trend that this kind of plant is annual, whether the highest price for determining this kind of plant has region；
If it is, most according to the geographical position of the target planting greenhouse and the highest price frequency of occurrence of this kind of plant
Region, determine that whether this kind of plant be the recommendation planting plants for the target planting greenhouse.
In a kind of specific embodiment of the present invention, also include：
For every kind of plant, according to the price trend that this kind of plant is annual, whether the lowest price for determining this kind of plant has
It is seasonal；
If it is, according to the growth cycle of this kind of plant and the lowest price frequency of occurrence of this kind of plant most time
Section, determines that whether this kind of plant be the non-recommended planting plants for the target planting greenhouse.
A kind of plantation recommendation apparatus based on planting greenhouse, including：
Recommendation request receiver module, for receiving the recommendation request of the planting plants for target planting greenhouse；
Price trend determining module, for being analyzed to the historical price data being obtained ahead of time, determines that every kind of plant is every
The price trend in year；
Seasonal determining module, for for every kind of plant, according to the price trend that this kind of plant is annual, determining the plantation
Whether the highest price of thing has seasonality；If it is, triggering recommending module；
The recommending module, for most according to the highest price frequency of occurrence of the growth cycle of this kind of plant and this kind of plant
Time period, determine that whether this kind of plant be the recommendation planting plants for the target planting greenhouse；
Message output module, the letter of all recommendation planting plants for the target planting greenhouse determined for output
Breath.
In a kind of specific embodiment of the present invention, the seasonal determining module, specifically for：
For every kind of plant, according to the price trend that this kind of plant is annual, if it is determined that the highest price of this kind of plant occurs
It is more than predetermined threshold value in the number of times of same time period and the ratio of year, it is determined that the highest price of this kind of plant has seasonality.
In a kind of specific embodiment of the present invention, the recommending module, specifically for：
According to the growth cycle of this kind of plant, it is determined that from current time start plant this kind of plant to this kind of plant maturation when
Whether most with the highest price frequency of occurrence of this kind of plant time period residing time period be consistent；
If it is, determining that this kind of plant is the recommendation planting plants for the target planting greenhouse.
In a kind of specific embodiment of the present invention, the recommending module is additionally operable to：
Residing time period and this kind of plant when starting to plant this kind of plant to this kind of plant maturation from current time
It is the recommendation kind for target planting greenhouse in described this kind of plant of determination when highest price frequency of occurrence most time period is consistent
Before planting plant, according to the price trend that this kind of plant is annual, whether the highest price for determining this kind of plant has region；
If it is, most according to the geographical position of the target planting greenhouse and the highest price frequency of occurrence of this kind of plant
Region, determine that whether this kind of plant be the recommendation planting plants for the target planting greenhouse.
In a kind of specific embodiment of the present invention, the recommending module is additionally operable to：
For every kind of plant, according to the price trend that this kind of plant is annual, whether the lowest price for determining this kind of plant has
It is seasonal；
If it is, according to the growth cycle of this kind of plant and the lowest price frequency of occurrence of this kind of plant most time
Section, determines that whether this kind of plant be the non-recommended planting plants for the target planting greenhouse.
The technical scheme provided using the embodiment of the present invention, is receiving the planting plants for target planting greenhouse
During recommendation request, the historical price data to being obtained ahead of time are analyzed, it may be determined that the annual price trend of every kind of plant, pin
To every kind of plant, according to the price trend of this kind of plant, it may be determined that whether the highest price of this kind of plant has seasonality, if
With seasonality, then according to the time period that the growth cycle of this kind of plant and the highest price frequency of occurrence of this kind of plant are most, really
Whether fixed this kind of plant is the recommendation planting plants for target planting greenhouse, and export determination for target planting greenhouse
The information of all recommendation planting plants, is planting greenhouse management personnel finally determine which kind of plant is planted in target planting greenhouse
Effectively reference is provided, the economic benefit of target planting greenhouse can be improved.
Description of the drawings
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
The accompanying drawing to be used needed for having technology description is briefly described, it should be apparent that, drawings in the following description are only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with
Other accompanying drawings are obtained according to these accompanying drawings.
A kind of implementing procedure figure of plantation recommendation method based on planting greenhouse that Fig. 1 is provided by the embodiment of the present invention；
Fig. 2 is a kind of structural representation of the plantation recommendation apparatus based on planting greenhouse in the embodiment of the present invention.
Specific embodiment
In order that those skilled in the art more fully understand the present invention program, with reference to the accompanying drawings and detailed description
The present invention is described in further detail.Obviously, described embodiment is only a part of embodiment of the invention, rather than
Whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art are not making creative work premise
Lower obtained every other embodiment, belongs to the scope of protection of the invention.
It is shown in Figure 1, a kind of reality of the plantation recommendation method based on planting greenhouse provided by the embodiment of the present invention
Flow chart is applied, the method may comprise steps of：
S110：Receive the recommendation request of the planting plants for target planting greenhouse.
During to target plantation greenhouse gardening Landscape Planning, planting greenhouse manager can be sent for target plantation
The recommendation request of the planting plants of booth.Plant can be water fruits and vegetables or flowers etc..
When the recommendation request for the planting plants of target planting greenhouse is received, step S120 can be continued executing with
Operation.
S120：Historical price data to being obtained ahead of time are analyzed, and determine the annual price trend of every kind of plant.
In embodiments of the present invention, the historical price data of various plants can be obtained by data acquisition modes.
The historical price data for collecting may refer to shown in table 1：
Table 1
Collection to the historical price data of various plants is time-continuing process, by constantly gathering various plants in difference
Between, the historical price data of different geographical, it is possible to obtain substantial amounts of historical price data.
After the recommendation request for the planting plants of target planting greenhouse is received, can be to the history valency that is obtained ahead of time
Lattice data are analyzed, and determine the annual price trend of every kind of plant.
Specifically, can extract every kind of plant and exist every year from the historical price data of the every kind of plant being obtained ahead of time
The historical price of each time point.For certain time point, ceiling price can be selected in the time point as the time
The price of point.Set up with time point as abscissa, price is the coordinate system of vertical coordinate, obtains the annual price of every kind of plant and walks
Gesture.Time point can be in terms of day.
S130：For every kind of plant, according to the price trend that this kind of plant is annual, whether the highest price of this kind of plant is determined
With seasonality.
The annual price trend of every kind of plant is determined in step S120.For certain plant, according to this kind of plant
Annual price trend, it may be determined that whether the highest price of this kind of plant has seasonality.
In a kind of specific embodiment of the present invention, step S130 may comprise steps of：
For every kind of plant, according to the price trend that this kind of plant is annual, if it is determined that the highest price of this kind of plant occurs
It is more than predetermined threshold value in the number of times of same time period and the ratio of year, it is determined that the highest price of this kind of plant has seasonality.
In embodiments of the present invention, multiple time periods can be continuously divided into by 1 year, such as, be divided according to season, or
Person is according to natural law division etc..
For certain plant, can analyze from the annual price trend of this kind of plant, the highest of this kind of plant
The time period that the time point that valency occurs is located.If the frequency that the highest price of this kind of plant comes across the same time period is higher,
It is anticipated that the price of this kind of plant this time period in 1 year is higher.
If the highest price of this kind of plant comes across the ratio of the number of times of same time period and year more than predetermined threshold value,
The highest price that can determine this kind of plant has seasonality.
Such as, certain plant is in 3 years, and it is 2 times that highest price comes across the number of times in October, the ratio of the number of times and year
For 2/3, predetermined threshold value is 1/2, and the ratio of number of times and year is more than the predetermined threshold value, it may be determined that the highest price tool of this kind of plant
There is seasonality.
If it is determined that the highest price of this kind of plant has seasonality, then the operation of step S140 can be continued executing with.If
The highest price for determining this kind of plant does not have seasonality, then can be left intact.
S140：According to the growth cycle of this kind of plant and the highest price frequency of occurrence of this kind of plant most time period, really
Whether fixed this kind of plant is the recommendation planting plants for target planting greenhouse.
The growth cycle of every kind of plant is different.Growth cycle refers to plant from starting to plant the time that can harvest to maturation.
The recommendation request being currently received is to determine which kind of plant is planted in target planting greenhouse, and plantation is started to maturation from plant
Listing can be harvested needs the regular hour.
For certain plant, if the highest price of this kind of plant has seasonality, can be according to this kind of plant
The highest price frequency of occurrence of growth cycle and this kind of plant most time period, determine whether this kind of plant is for target plantation
The recommendation planting plants of booth.
In a kind of specific embodiment of the present invention, step S140 may comprise steps of：
Step one：According to the growth cycle of this kind of plant, it is determined that starting to plant this kind of plant to the plantation from current time
Whether most with the highest price frequency of occurrence of this kind of plant time period thing time period residing when ripe be consistent；If it is,
Execution step two；
Step 2：Determine that this kind of plant is the recommendation planting plants for target planting greenhouse.
For certain plant, this kind of plant has specific growth cycle.According to the growth cycle of this kind of plant, can
Start to plant this kind of plant to the time period residing during this kind of plant maturation to estimate from current time, determine the time period and be somebody's turn to do
The highest price frequency of occurrence of kind of plant most to time period it is whether consistent.If consistent, can determine this kind of plant be for
The recommendation planting plants of target planting greenhouse.If it is inconsistent, current goal planting greenhouse may be not appropriate for this kind of plant
Plantation.
S150：The information of all recommendation planting plants for target planting greenhouse that output determines.
It is determined that after for the recommendation planting plants of target planting greenhouse, can export determine for target planting greenhouse
All recommendation planting plants information, such as name information, highest price information, highest price occur time segment information, highest price
Regional information of appearance etc..
These information for exporting are planted the effective with reference to letter of greenhouse gardening plant by planting greenhouse management personnel
Breath, may further determine which kind of plant is planted in target planting greenhouse.
The method provided using the embodiment of the present invention, in the recommendation for receiving the planting plants for target planting greenhouse
During request, the historical price data to being obtained ahead of time are analyzed, it may be determined that the annual price trend of every kind of plant, for every
Plant is planted, according to the price trend of this kind of plant, it may be determined that whether the highest price of this kind of plant has seasonality, if had
Seasonality, then according to the time period that the growth cycle of this kind of plant and the highest price frequency of occurrence of this kind of plant are most, it is determined that should
Whether kind of plant is the recommendation planting plants for target planting greenhouse, and export determination for all of target planting greenhouse
Recommend the information of planting plants, finally determine for planting greenhouse management personnel and plant which kind of plant provides in target planting greenhouse
Effectively reference, can improve the economic benefit of target planting greenhouse.
In one embodiment of the invention, starting to plant this kind of plant to this kind of plant maturation when institute from current time
When time period most with the highest price frequency of occurrence of this kind of plant time period at place is consistent, the method can also include following step
Suddenly：
First step：According to the price trend that this kind of plant is annual, whether the highest price for determining this kind of plant has ground
Domain property；If it is, performing second step；
Second step：It is most according to the geographical position of target planting greenhouse and the highest price frequency of occurrence of this kind of plant
Region, determines that whether this kind of plant be the recommendation planting plants for target planting greenhouse.
For certain plant, estimate from current time and start to plant this kind of plant to residing during this kind of plant maturation
Time period, if time period most with the highest price frequency of occurrence of this kind of plant time period is consistent, can further root
According to the price trend that this kind of plant is annual, whether the highest price for determining this kind of plant has region.
Specifically, the number of times of same region and the scale of year can be come across according to the highest price of this kind of plant,
Whether the highest price for determining this kind of plant has region.Such as, if the highest price of this kind of plant comes across same region
The ratio of number of times and year is more than certain predetermined threshold value, then the highest price that can determine this kind of plant has region.
If it is determined that the highest price of this kind of plant has region, then can according to the geographical position of target planting greenhouse and
The most region of the highest price frequency of occurrence of this kind of plant, determines that whether this kind of plant be the recommendation kind for target planting greenhouse
Plant plant.
According to the most region of the geographical position of target planting greenhouse and the highest price frequency of occurrence of this kind of plant, can be true
The fixed distance of the two.In actual applications, can be according to the preset distance threshold value such as cost of transportation.If it is determined that the two
Distance is less than the distance threshold, then can determine the recommendation planting plants that this kind of plant is target planting greenhouse.Work as plant maturation
When, the region can be transported to and sold.
In actual applications, for certain plant, if starting to plant this kind of plant to the plantation from current time
Time period most with the highest price frequency of occurrence of this kind of plant thing time period residing when ripe is consistent, but target is planted greatly
The distance of the geographical position of the canopy region most with the highest price frequency of occurrence of this kind of plant is more than or equal to default apart from threshold
During value, this kind of plant can be defined as non-recommended planting plants.
In one embodiment of the invention, the method can also be comprised the following steps：
Step one：For every kind of plant, according to the price trend that this kind of plant is annual, determining the lowest price of this kind of plant is
It is no with seasonality；If it is, execution step two；
Step 2：According to the growth cycle of this kind of plant and the lowest price frequency of occurrence of this kind of plant most time period,
Determine that whether this kind of plant be the non-recommended planting plants for target planting greenhouse.
For certain plant, according to the price trend that this kind of plant is annual, it may be determined that the lowest price of this kind of plant
Whether there is seasonality.Specifically, the number of times and year of same time period can be come across according to the lowest price of this kind of plant
Whether ratio-dependent has seasonality.If it has, then can be according to the growth cycle of this kind of plant and the lowest price of this kind of plant
Frequency of occurrence most time period, determine that whether this kind of plant be the non-recommended planting plants for target planting greenhouse.
Specifically, if starting to plant this kind of plant to the time period residing during this kind of plant maturation and being somebody's turn to do from current time
The time period that the lowest price frequency of occurrence of kind plant is most is consistent, then this kind of plant can be defined as into non-recommended planting plants,
The list marketing when the plantation price lattice are minimum is avoided, reduces price risk.
Corresponding to above method embodiment, the embodiment of the present invention additionally provides a kind of plantation based on planting greenhouse and recommends
Device, a kind of plantation recommendation apparatus based on planting greenhouse described below and a kind of above-described kind based on planting greenhouse
Planting recommendation method can be mutually to should refer to.
Shown in Figure 2, the device is included with lower module：
Recommendation request receiver module 210, for receiving the recommendation request of the planting plants for target planting greenhouse；
Price trend determining module 220, for being analyzed to the historical price data being obtained ahead of time, determines every kind of plant
Annual price trend；
Seasonal determining module 230, for for every kind of plant, according to the price trend that this kind of plant is annual, it is determined that should
Whether the highest price for planting plant has seasonality；If it is, triggering recommending module 240；
Recommending module 240, for most according to the highest price frequency of occurrence of the growth cycle of this kind of plant and this kind of plant
Time period, determine that whether this kind of plant be the recommendation planting plants for target planting greenhouse；
Message output module 250, the letter of all recommendation planting plants for target planting greenhouse determined for output
Breath.
The device provided using the embodiment of the present invention, in the recommendation for receiving the planting plants for target planting greenhouse
During request, the historical price data to being obtained ahead of time are analyzed, it may be determined that the annual price trend of every kind of plant, for every
Plant is planted, according to the price trend of this kind of plant, it may be determined that whether the highest price of this kind of plant has seasonality, if had
Seasonality, then according to the time period that the growth cycle of this kind of plant and the highest price frequency of occurrence of this kind of plant are most, it is determined that should
Whether kind of plant is the recommendation planting plants for target planting greenhouse, and export determination for all of target planting greenhouse
Recommend the information of planting plants, finally determine for planting greenhouse management personnel and plant which kind of plant provides in target planting greenhouse
Effectively reference, can improve the economic benefit of target planting greenhouse.
In a kind of specific embodiment of the present invention, seasonal determining module 230, specifically for：
For every kind of plant, according to the price trend that this kind of plant is annual, if it is determined that the highest price of this kind of plant occurs
It is more than predetermined threshold value in the number of times of same time period and the ratio of year, it is determined that the highest price of this kind of plant has seasonality.
In a kind of specific embodiment of the present invention, recommending module 240, specifically for：
According to the growth cycle of this kind of plant, it is determined that from current time start plant this kind of plant to this kind of plant maturation when
Whether most with the highest price frequency of occurrence of this kind of plant time period residing time period be consistent；
If it is, determining that this kind of plant is the recommendation planting plants for target planting greenhouse.
In a kind of specific embodiment of the present invention, recommending module 240 is additionally operable to：
Residing time period and this kind of plant when starting to plant this kind of plant to this kind of plant maturation from current time
When highest price frequency of occurrence most time period is consistent, it is determined that this kind of plant is to plant for the recommendation plantation of target planting greenhouse
Before thing, according to the price trend that this kind of plant is annual, whether the highest price for determining this kind of plant has region；
If it is, according to the most ground of the geographical position of target planting greenhouse and the highest price frequency of occurrence of this kind of plant
Domain, determines that whether this kind of plant be the recommendation planting plants for target planting greenhouse.
In a kind of specific embodiment of the present invention, recommending module 240 is additionally operable to：
For every kind of plant, according to the price trend that this kind of plant is annual, whether the lowest price for determining this kind of plant has
It is seasonal；
If it is, according to the growth cycle of this kind of plant and the lowest price frequency of occurrence of this kind of plant most time
Section, determines that whether this kind of plant be the non-recommended planting plants for target planting greenhouse.
Each embodiment is described by the way of progressive in this specification, and what each embodiment was stressed is and other
The difference of embodiment, between each embodiment same or similar part mutually referring to.For dress disclosed in embodiment
For putting, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is referring to method part
Illustrate.
Professional further appreciates that, with reference to the unit of each example of the embodiments described herein description
And algorithm steps, can with electronic hardware, computer software or the two be implemented in combination in, in order to clearly demonstrate hardware and
The interchangeability of software, according to function has generally described the composition and step of each example in the above description.These
Function is performed with hardware or software mode actually, depending on the application-specific and design constraint of technical scheme.Specialty
Technical staff can use different methods to realize described function to each specific application, but this realization should not
Think beyond the scope of this invention.
The step of method described with reference to the embodiments described herein or algorithm, directly can be held with hardware, processor
Capable software module, or the combination of the two is implementing.Software module can be placed in random access memory (RAM), internal memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, depositor, hard disk, moveable magnetic disc, CD-ROM or technology
In field in known any other form of storage medium.
Specific case used herein is set forth to the principle and embodiment of the present invention, and above example is said
It is bright to be only intended to help and understand technical scheme and its core concept.It should be pointed out that common for the art
For technical staff, under the premise without departing from the principles of the invention, some improvement and modification can also be carried out to the present invention, these
Improve and modification is also fallen in the protection domain of the claims in the present invention.
Claims (10)
1. method is recommended in a kind of plantation based on planting greenhouse, it is characterised in that included：
Receive the recommendation request of the planting plants for target planting greenhouse；
Historical price data to being obtained ahead of time are analyzed, and determine the annual price trend of every kind of plant；
For every kind of plant, according to the price trend that this kind of plant is annual, whether the highest price for determining this kind of plant has season
Property；
If it is, according to the growth cycle of this kind of plant and the highest price frequency of occurrence of this kind of plant most time period, really
Whether fixed this kind of plant is the recommendation planting plants for the target planting greenhouse；
The information of all recommendation planting plants for the target planting greenhouse that output determines.
2. method is recommended in the plantation based on planting greenhouse according to claim 1, it is characterised in that described for often planting
Thing, according to the price trend that this kind of plant is annual, whether the highest price for determining this kind of plant has seasonality, including：
For every kind of plant, according to the price trend that this kind of plant is annual, if it is determined that the highest price of this kind of plant comes across together
The number of times of one time period and the ratio of year are more than predetermined threshold value, it is determined that the highest price of this kind of plant has seasonality.
3. method is recommended in the plantation based on planting greenhouse according to claim 1, it is characterised in that described according to the plantation
The highest price frequency of occurrence of the growth cycle of thing and this kind of plant most time period, determine whether this kind of plant is for described
The recommendation planting plants of target planting greenhouse, including：
According to the growth cycle of this kind of plant, it is determined that starting to plant this kind of plant to residing during this kind of plant maturation from current time
Whether most with the highest price frequency of occurrence of this kind of plant time period time period it is consistent；
If it is, determining that this kind of plant is the recommendation planting plants for the target planting greenhouse.
4. method is recommended in the plantation based on planting greenhouse according to claim 3, it is characterised in that opened from current time
Begin this kind of plant of plantation to time period residing during this kind of plant maturation and this kind of plant highest price frequency of occurrence it is most when
Between section it is consistent when, it is described determination this kind of plant be the recommendation planting plants for target planting greenhouse before, also include：
According to the price trend that this kind of plant is annual, whether the highest price for determining this kind of plant has region；
If it is, according to the most ground of the geographical position of the target planting greenhouse and the highest price frequency of occurrence of this kind of plant
Domain, determines that whether this kind of plant be the recommendation planting plants for the target planting greenhouse.
5. method is recommended in the plantation based on planting greenhouse according to any one of Claims 1-4, it is characterised in that also wrapped
Include：
For every kind of plant, according to the price trend that this kind of plant is annual, whether the lowest price for determining this kind of plant has season
Property；
If it is, according to the growth cycle of this kind of plant and the lowest price frequency of occurrence of this kind of plant most time period, really
Whether fixed this kind of plant is the non-recommended planting plants for the target planting greenhouse.
6. a kind of plantation recommendation apparatus based on planting greenhouse, it is characterised in that include：
Recommendation request receiver module, for receiving the recommendation request of the planting plants for target planting greenhouse；
Price trend determining module, for being analyzed to the historical price data being obtained ahead of time, determines that every kind of plant is annual
Price trend；
Seasonal determining module, for for every kind of plant, according to the price trend that this kind of plant is annual, determines this kind of plant
Whether highest price has seasonality；If it is, triggering recommending module；
The recommending module, for according to the highest price frequency of occurrence of the growth cycle of this kind of plant and this kind of plant it is most when
Between section, determine that whether this kind of plant be the recommendation planting plants for the target planting greenhouse；
Message output module, the information of all recommendation planting plants for the target planting greenhouse determined for output.
7. plantation recommendation apparatus based on planting greenhouse according to claim 6, it is characterised in that described seasonal to determine
Module, specifically for：
For every kind of plant, according to the price trend that this kind of plant is annual, if it is determined that the highest price of this kind of plant comes across together
The number of times of one time period and the ratio of year are more than predetermined threshold value, it is determined that the highest price of this kind of plant has seasonality.
8. plantation recommendation apparatus based on planting greenhouse according to claim 6, it is characterised in that the recommending module,
Specifically for：
According to the growth cycle of this kind of plant, it is determined that starting to plant this kind of plant to residing during this kind of plant maturation from current time
Whether most with the highest price frequency of occurrence of this kind of plant time period time period it is consistent；
If it is, determining that this kind of plant is the recommendation planting plants for the target planting greenhouse.
9. plantation recommendation apparatus based on planting greenhouse according to claim 8, it is characterised in that the recommending module,
It is additionally operable to：
The highest of residing time period and this kind of plant when starting to plant this kind of plant to this kind of plant maturation from current time
It is the recommendation plantation plant for target planting greenhouse in described this kind of plant of determination when valency frequency of occurrence most time period is consistent
Before thing, according to the price trend that this kind of plant is annual, whether the highest price for determining this kind of plant has region；
If it is, according to the most ground of the geographical position of the target planting greenhouse and the highest price frequency of occurrence of this kind of plant
Domain, determines that whether this kind of plant be the recommendation planting plants for the target planting greenhouse.
10. plantation recommendation apparatus based on planting greenhouse according to any one of claim 6 to 9, it is characterised in that described
Recommending module, is additionally operable to：
For every kind of plant, according to the price trend that this kind of plant is annual, whether the lowest price for determining this kind of plant has season
Property；
If it is, according to the growth cycle of this kind of plant and the lowest price frequency of occurrence of this kind of plant most time period, really
Whether fixed this kind of plant is the non-recommended planting plants for the target planting greenhouse.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611245535.0A CN106649815A (en) | 2016-12-29 | 2016-12-29 | Planting recommending method and device based on planting greenhouse |
| PCT/CN2017/087987 WO2018120660A1 (en) | 2016-12-29 | 2017-06-13 | Planting recommendation method and apparatus based on planting greenhouse |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611245535.0A CN106649815A (en) | 2016-12-29 | 2016-12-29 | Planting recommending method and device based on planting greenhouse |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106649815A true CN106649815A (en) | 2017-05-10 |
Family
ID=58835758
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611245535.0A Pending CN106649815A (en) | 2016-12-29 | 2016-12-29 | Planting recommending method and device based on planting greenhouse |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN106649815A (en) |
| WO (1) | WO2018120660A1 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107169107A (en) * | 2017-05-18 | 2017-09-15 | 广州市拓狗信息科技有限公司 | A kind of aquaculture householder method and system analyzed based on big data |
| WO2018120660A1 (en) * | 2016-12-29 | 2018-07-05 | 深圳前海弘稼科技有限公司 | Planting recommendation method and apparatus based on planting greenhouse |
| CN111192087A (en) * | 2019-12-30 | 2020-05-22 | 深圳春沐源控股有限公司 | Vegetable and fruit price management method, server, terminal and computer readable storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020103688A1 (en) * | 2000-08-22 | 2002-08-01 | Schneider Gary M. | System and method for developing a farm management plan for production agriculture |
| CN104636852A (en) * | 2013-11-14 | 2015-05-20 | 财团法人资讯工业策进会 | crop production planning system and crop production planning method |
| CN105260791A (en) * | 2015-09-25 | 2016-01-20 | 苏州携优信息技术有限公司 | Planting plan optimization system and method based on agricultural Internet of Things and big data analysis |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106649815A (en) * | 2016-12-29 | 2017-05-10 | 深圳前海弘稼科技有限公司 | Planting recommending method and device based on planting greenhouse |
-
2016
- 2016-12-29 CN CN201611245535.0A patent/CN106649815A/en active Pending
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2017
- 2017-06-13 WO PCT/CN2017/087987 patent/WO2018120660A1/en active Application Filing
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020103688A1 (en) * | 2000-08-22 | 2002-08-01 | Schneider Gary M. | System and method for developing a farm management plan for production agriculture |
| CN104636852A (en) * | 2013-11-14 | 2015-05-20 | 财团法人资讯工业策进会 | crop production planning system and crop production planning method |
| CN105260791A (en) * | 2015-09-25 | 2016-01-20 | 苏州携优信息技术有限公司 | Planting plan optimization system and method based on agricultural Internet of Things and big data analysis |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018120660A1 (en) * | 2016-12-29 | 2018-07-05 | 深圳前海弘稼科技有限公司 | Planting recommendation method and apparatus based on planting greenhouse |
| CN107169107A (en) * | 2017-05-18 | 2017-09-15 | 广州市拓狗信息科技有限公司 | A kind of aquaculture householder method and system analyzed based on big data |
| CN111192087A (en) * | 2019-12-30 | 2020-05-22 | 深圳春沐源控股有限公司 | Vegetable and fruit price management method, server, terminal and computer readable storage medium |
Also Published As
| Publication number | Publication date |
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| WO2018120660A1 (en) | 2018-07-05 |
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