CN108197741B - Method and device for predicting plant yield - Google Patents
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Abstract
The embodiment of the invention relates to the technical field of agriculture, and discloses a method and a device for predicting plant yield. In the present invention, the method for predicting plant yield comprises: obtaining seedling culture time; wherein, the seedling raising time is determined according to the data returned by the detection of the seedling raising detection device; determining the plant yield at the first time according to the seedling raising time, the growth duration and survival rate of each growth link of the plant, the sowing number, the picking interval and the single yield of the single plant; wherein, the plant growth links comprise a seedling raising link and a planting link. The yield of the plant at a certain time can be predicted, the process of manually inputting relevant data of each growth link of the plant is omitted, recording and counting errors are avoided, and therefore a more accurate plant yield prediction value is provided.
Description
Technical Field
The embodiment of the invention relates to the technical field of agriculture, in particular to a method and a device for predicting plant yield.
Background
With the development of agricultural technology, various plants are more and more in variety and yield. In order to better plan the production of plants, one often predicts the yield of the plants and then adjusts the production strategy. Currently, most yield forecasts are manual. Plant protection personnel manually record each growth link and relevant data of the plant, estimate the predicted yield of each growth process or different time periods through production experience, and accumulate and sum up item by item, so that a yield predicted value is obtained.
However, the inventors found that at least the following problems exist in the prior art: because the variety or batch of plant planting is more, the time period from each batch to actual production is different, and plant protection personnel cannot dynamically predict the plant yield; moreover, the workload of manually recording and counting the relevant data of each growth link by plant protection personnel is large, the data types are multiple, recording and counting errors are easy to occur, and the yield predicted value is deviated.
Disclosure of Invention
The embodiment of the invention aims to provide a method and a device for predicting the plant yield, which can predict the yield of a plant at a certain time, omit the process of manually inputting relevant data of each growth link of the plant, and avoid recording and counting errors, thereby providing a more accurate plant yield predicted value.
In order to solve the above technical problem, an embodiment of the present invention provides a method for predicting plant yield, including the following steps:
obtaining seedling culture time; wherein, the seedling raising time is determined according to the data returned by the detection of the seedling raising detection device;
determining the plant yield at the first time according to the seedling raising time, the growth duration and survival rate of each growth link of the plant, the sowing number, the picking interval and the single yield of the single plant; wherein, the plant growth links comprise a seedling raising link and a planting link.
The embodiment of the invention also provides a plant yield prediction device, which comprises: the device comprises an acquisition module and a calculation module;
the acquisition module is used for acquiring seedling culture time; wherein, the seedling raising time is determined according to the data returned by the detection of the seedling raising detection device;
the calculation module is used for determining the plant yield at the first time according to the seedling raising time, the growth duration and survival rate of each growth link of the plant, the number of sowed seeds, the picking interval and the single yield of the single plant; wherein, the plant growth links comprise a seedling raising link and a planting link.
An embodiment of the present invention further provides a terminal, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of predicting plant yield as described in the above embodiments.
Compared with the prior art, the seedling raising time is determined according to the data returned by the seedling raising detection device, so that the process of manually inputting the relevant data of each growth link of the plant is omitted, the time cost is saved, and errors in recording and counting are avoided. According to the related data of each growth link of the plant and the seedling raising time, the yield of the plant at a certain time is predicted, and a more accurate predicted value of the plant yield can be provided, so that a user can make a supply and demand plan in advance according to the predicted plant yield, and data support is provided for marketing and production.
In addition, before the plant growth is in the planting link, the growth duration of the seedling raising link is the predicted duration of the seedling raising link;
during or after the plant growth is in the planting link, the growth duration of the seedling raising link is the actual duration of the seedling raising link; the actual duration of the seedling raising link is determined according to the seedling raising time and the planting time, and the planting time is determined according to data returned by the planting detection device. The relevant data for predicting plant yield is dynamically adjusted according to the growth condition of the plant, so that the predicted plant yield is more accurate.
In addition, when the plant growth is in the field planting link, the growth duration of the field planting link is the predicted duration of the field planting link;
after the plant growth is in the field planting link, the growth duration of the field planting link is the actual duration of the field planting link; the actual duration of the field planting link is determined according to the field planting time and the picking time of the 1 st picking, and the picking time is determined according to the data returned by the picking detection device. The relevant data for predicting plant yield is dynamically adjusted according to the actual growth conditions of the plant, so that the predicted plant yield is more accurate.
In addition, before determining the plant yield at the first time according to the seedling raising time, the growth duration and survival rate of each growth link of the plant, the sowing number, the picking interval and the single yield of the single plant, the method for predicting the plant yield further comprises the following steps: and determining that the difference value between the first time and the seedling raising time is greater than the sum of the predicted time of the seedling raising link and the predicted time of the planting link.
In addition, the plant yield at the first time is equal to: estimating the product of picking times, sowing number, survival rate of seedling raising links, survival rate of field planting links and single yield of single plants; wherein, the estimated picking times are equal to: the difference obtained by subtracting the seedling raising time from the growth time of the seedling raising link and subtracting the growth time of the planting link from the first time is divided by the integer number of the quotient obtained in the picking interval.
In addition, before determining the plant yield at the first time according to the seedling raising time, the growth duration and survival rate of each growth link of the plant, the sowing number, the picking interval and the single yield of the single plant, the method for predicting the plant yield further comprises the following steps:
acquiring the picking time of each picking and the plant yield of each picking before the plant yield is predicted;
according to the picking time of each picking, determining the picking interval period between two adjacent picking before the first time;
determining the single yield of each picked plant before the first time according to the yield of each picking;
according to the seedling raising time, the growth duration and survival rate of each growth link of the plant, the sowing number, the picking interval and the single yield of the single plant, the plant yield of the first time is determined, and the method specifically comprises the following steps:
determining the estimated picking times before the first time according to the seedling raising time, the growth duration of the seedling raising link, the growth duration of the planting link and the picking interval period between two adjacent picks before the first time;
and determining the plant yield according to the estimated picking times, the seeding number, the survival rate of the seedling raising link, the survival rate of the planting link and the single yield of each picked plant before the first time.
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One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
FIG. 1 is a method for predicting yield in a plant according to a first embodiment of the present invention;
FIG. 2 is a method for predicting yield in a plant according to a second embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a plant yield prediction apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic configuration diagram of a plant yield prediction apparatus according to a fourth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that numerous technical details are set forth in order to provide a better understanding of the present application in various embodiments of the present invention. However, the technical solution claimed in the present application can be implemented without these technical details and various changes and modifications based on the following embodiments.
The first embodiment of the invention relates to a plant yield prediction method, which is applied to a plant yield prediction device. Such as a mobile phone terminal, a computer, etc. The specific flow is shown in figure 1. The method for predicting the yield of a plant shown in fig. 1 comprises the following steps:
step 101: and obtaining the seedling raising time.
Specifically, the seedling raising time is determined according to the data returned by the seedling raising detection device.
It should be noted that the seedling detection device may be a mobile phone terminal or a fingerprint identification device, which is not described herein again, and in practical application, the seedling detection device may be set as needed.
In the specific implementation, the seedling detection device is a mobile phone terminal, the mobile phone terminal sends data to the plant yield prediction device after scanning the two-dimensional code on the seedling bed, and the sent data comprise the time of scanning the two-dimensional code. And the plant yield prediction device determines seedling raising time according to the data returned by the seedling raising detection device and stores the seedling raising time into the database.
It should be noted that, in practical applications, different seedling detection devices may be provided for different batches of plants or different types of plants, or the same seedling detection device may be used. If the same seedling detection device is used, the prediction device of the plant yield classifies and stores the returned data when obtaining the data returned by the seedling detection device.
In practical applications, the seedling raising detection device may send the data to the plant yield prediction device immediately after acquiring the data, or may send the data after receiving a request from the plant yield prediction device.
It should be noted that the data returned by the seedling raising detection device may be seedling raising time, and the seedling raising time is directly obtained after the plant yield prediction device receives the data. The data returned by the seedling raising detection device can also be an interrupt signal. And the plant yield prediction device acquires the current time as seedling raising time according to the interrupt signal after acquiring the interrupt signal. As can be understood by those skilled in the art, in practical application, the type of the data returned by the seedling raising detection device can be set according to requirements.
It is worth mentioning that the seedling raising time is determined according to the data returned by the seedling raising detection device, the process of manually inputting the seedling raising time of the plant is omitted, recording and statistics errors are avoided, and therefore a more accurate predicted value of the plant yield is provided.
Step 102: and determining the plant yield at the first time according to the seedling raising time, the growth duration and survival rate of each growth link of the plant, the sowing number, the picking interval and the single yield of the single plant.
Specifically, the plant growth links include a seedling raising link and a planting link. Wherein, the seedling-raising link refers to the process that the seeds of the plants germinate on a seedling-raising bed, and the planting link refers to the process that the plants are planted on a planting bed after germination until the first fruiting.
It should be noted that, when the plant is a plant capable of being picked for multiple times, the plant growth link may further include a secondary growth link from the first picking to the second picking, a tertiary growth link from the second picking to the third picking, and other related links.
In a specific implementation, if the difference between the first time and the seedling raising time is less than the sum of the growth duration of the seedling raising link and the growth duration of the planting link, the plant yield is zero.
In a specific implementation, if the plant yield prediction method is executed, the plant growth is before the field planting link, and the growth duration of the seedling raising link is the prediction duration of the seedling raising link.
It should be noted that the predicted time length of the seedling raising link may be obtained from big data of the current growth process of the plant stored in the database of the plant yield prediction device, or may be an average value calculated in advance based on a sample, and in practical application, the source of the data may be set as required.
In the concrete implementation, the prediction duration of the seedling raising link is equal to: and dividing the sum of the total time length of the seedling raising links of the sampled plants by the total number of samples of the sampled plants.
In the concrete implementation, if the plant yield prediction method is executed, the growth time of the seedling raising link is the actual time of the seedling raising link during or after the period of the planting link of the plant. Wherein the actual time of the seedling raising link is determined according to the seedling raising time and the planting time. Wherein, the planting time is determined according to the data returned by the planting detection device.
In a specific implementation, if the plant yield prediction method is executed, the plant growth is in the period of the planting link, and the growth duration of the planting link is the prediction duration of the planting link.
It should be noted that the predicted duration of the planting link may be obtained from big data of the current growth process of the plant stored in the database of the plant yield prediction device, or may be an average value calculated in advance based on samples, and in practical application, the source of the data may be set as needed.
In the concrete implementation, the predicted time length of the planting link is equal to the sum of the total time lengths of the planting links of all the sampling plants, and the sum is divided by the total number of the sampling plants.
In a specific implementation, if the plant yield prediction method is executed, the growth duration of the planting link is the actual duration of the planting link after the plant growth is in the planting link. Wherein the actual duration of the field planting link is determined according to the field planting time and the picking time of the 1 st picking. Wherein the picking time of the 1 st picking is determined according to the data returned by the picking detection device.
It is worth mentioning that the relevant data for predicting plant yield is dynamically adjusted according to the actual growth conditions of the plant, so that the predicted plant yield is more accurate.
In particular implementations, the plant yield at the first time can be obtained based on the following constraint relationship: plant yield at time one is equal to: and (4) estimating the product of the picking times, the sowing number, the survival rate of the seedling raising link, the survival rate of the field planting link and the single yield of the single plant. Wherein, the estimated picking times are equal to: the difference obtained by subtracting the seedling raising time from the growth time of the seedling raising link and subtracting the growth time of the planting link from the first time is divided by the integer number of the quotient obtained in the picking interval.
It should be noted that the survival rate of each growing link of the plant, the picking interval period and the individual yield of the individual plant may be obtained based on big data of the current growing process of the plant stored in the database of the plant yield prediction device, or may be an average value calculated in advance based on a sample, and in practical application, the sources of the data may be set as required.
In the concrete implementation, the survival rate of the seedling-raising link is equal to the number of surviving samples in the seedling-raising link divided by the total number of seeds sowed on the seedling-raising bed, and the survival rate of the field planting link is equal to the number of surviving samples in the field planting link divided by the total number of seedlings planted on the field planting bed.
It is noted that the picking interval may include the length of time after the plant is fruiting and the length of time it is regrown to the fruiting state.
It is worth mentioning that the plant yield at a certain time can be determined according to the relevant data of each growth link of the plant and the seedling raising time.
The above description is only for illustrative purposes and does not limit the technical aspects of the present invention.
Compared with the prior art, the method for predicting the plant yield determines the seedling raising time according to the data returned by the seedling raising detection device, so that the process of manually inputting the relevant data of each growth link of the plant is omitted, the time cost is saved, and the recording and counting errors are avoided. The yield of the plant at a certain time is predicted according to the relevant data of each growth link of the plant and the seedling raising time, so that a more accurate predicted value of the plant yield is provided, a user can make a supply and demand plan in advance according to the predicted plant yield, and data support is provided for marketing and production.
The second embodiment of the invention relates to a method for predicting the yield of plants, which is further improved on the basis of the first embodiment, and the specific improvement is as follows: prior to step 102, the steps of determining the picking interval between two consecutive picks before the first time, estimating the number of picks, and the individual yield per plant picked at each pick before the first time are added, and step 102 is specifically described.
Specifically, as shown in fig. 2, the present embodiment includes steps 201 to 204, where step 201 is substantially the same as step 101 in the first embodiment, and is not repeated here. The following mainly introduces the differences:
step 201: and obtaining the seedling raising time.
Step 202: and acquiring the picking time of each picking and the plant yield of each picking before the plant yield is predicted.
Specifically, the picking detection device sends the picking time of the current picking and the plant yield of the current picking to the plant yield prediction device when determining that the plant is picked. The plant yield prediction device stores the data sent by the picking detection device each time into a database.
It should be noted that the picking detection device may be a mobile phone terminal, or may be other equipment with an identification function.
In the concrete implementation, the picking detection device is a mobile phone terminal. After the mobile phone terminal scans and picks the two-dimension code, the user is prompted to input the plant yield of the picking, and the picking time and the plant yield of the picking are sent to the plant yield prediction device.
Step 203: and determining the picking interval period between two adjacent pickings before the first time according to the picking time of each picking.
In the concrete implementation, the picking time of each picking is drawn in a two-dimensional coordinate system, and a curve is fitted by using a least square method to obtain a curve equation. The curve equation represents the constraint relation between picking times and picking time, and the picking time of each picking before the first time can be determined according to the constraint relation, so that the picking interval period between two adjacent picks is determined.
Step 204: the individual yield of individual plants picked each time before the first time was determined from the yield of each pick.
In the concrete implementation, the yield of each picking is drawn in a two-dimensional coordinate system, and a curve is fitted by using a least square method to obtain a curve equation. The curve equation represents a constraint relationship between picking times and picked yields, and the yield of each picking before the first time can be determined according to the constraint relationship, so that the single yield of each picked plant is determined.
Step 205: and determining the estimated picking times before the first time according to the seedling raising time, the growth time of the seedling raising link, the growth time of the planting link and the picking interval period between two adjacent picks before the first time.
Specifically, a first difference value of subtracting the seedling growing time from the seedling growing time and subtracting the growth time of the seedling growing link from the growth time of the field planting link is calculated, and the estimated picking times before the first time are determined according to the first difference value and the picking interval period between two adjacent picks before the first time.
In the specific implementation, the plant yield prediction device subtracts the picking interval period between the first picking and the second picking from the first difference value to obtain a second difference value under the condition that the first difference value is determined to be larger than zero; judging whether the second difference is not greater than zero, and if the second difference is not greater than zero, determining that the estimated picking times are 1; if the plant yield is judged to be larger than zero, the plant yield prediction device subtracts the picking interval period of the second picking and the third picking from the second difference value to obtain a third difference value; and judging whether the third difference is not larger than zero, if so, determining that the estimated picking times are 2 times, if so, subtracting the picking interval period of the third picking and the fourth picking from the second difference by the plant yield predicting device to obtain a fourth difference … …, and the plant yield predicting device determines the estimated picking times according to the mode.
It is worth mentioning that the related data of each link of the plant is updated according to the actual growth state of the plant, so that the accuracy of the predicted plant yield is improved.
Step 206: and determining the plant yield according to the estimated picking times, the seeding number, the survival rate of the seedling raising link, the survival rate of the planting link and the single yield of each picked plant before the first time.
Specifically, the total yield of individual plants before the first time is determined based on the estimated picking times and the individual yield of each individual plant picked before the first time, the plant yield at the first time being equal to: the product of the total yield of the single plants, the number of sowed seeds, the survival rate of the seedling raising link and the survival rate of the field planting link before the first time.
When the plant yield prediction device performs yield prediction, the prediction can be performed in combination with the external growth environment of the plant as needed.
The above description is only for illustrative purposes and does not limit the technical aspects of the present invention.
Compared with the prior art, the method for predicting the plant yield determines the seedling raising time according to the data returned by the seedling raising detection device, so that the process of manually inputting the relevant data of each growth link of the plant is omitted, the time cost is saved, and the recording and counting errors are avoided. According to the constraint relation between the picking time of each picking of the plants and the constraint relation between the yield of each picking, the picking interval period and the yield of the plants before the first time are determined, so that the picking interval period and the yield predicted by the prediction method are closer to the real growth condition of the batch of plants. The dynamic adjustment is used for predicting the relevant data of the yield, the accuracy of the predicted value of the plant yield is improved, so that a user can make a supply and demand plan in advance according to the predicted plant yield, and data support is provided for marketing and production.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
The third embodiment of the present invention relates to a plant yield prediction apparatus, as shown in fig. 3, including: an acquisition module 301 and a calculation module 302.
The acquisition module 301 is used for acquiring seedling raising time; wherein, the seedling raising time is determined according to the data returned by the detection of the seedling raising detection device. The calculation module 302 is used for determining the plant yield at the first time according to the seedling raising time, the growth duration and survival rate of each growth link of the plant, the number of sowing seeds, the picking interval period and the single yield of the single plant; wherein, the plant growth links comprise a seedling raising link and a planting link.
In the specific implementation, the seedling culture detection device is a mobile phone terminal, and the mobile phone terminal returns data when the two-dimensional code is determined to be scanned; wherein, the data comprises the time information of the scanned two-dimensional code. A commonly used mobile phone terminal is used as the detection device, so that the cost of the detection device is saved.
In another specific implementation, the seedling detection device is a fingerprint identification device; the fingerprint identification device returns data when determining that the fingerprint is detected; the data includes time information of fingerprint detected by the fingerprint identification device.
It should be noted that the seedling raising detection device and the plant yield prediction device may be the same physical device or different physical devices.
In a specific implementation, the plant yield prediction device further comprises a determination module. The determining module is used for determining that the difference value between the first time and the seedling raising time is greater than the sum of the predicted duration of the seedling raising link and the predicted duration of the planting link.
It should be understood that this embodiment is an example of the apparatus corresponding to the first embodiment, and may be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the first embodiment.
It should be noted that each module referred to in this embodiment is a logical module, and in practical applications, one logical unit may be one physical unit, may be a part of one physical unit, and may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, elements that are not so closely related to solving the technical problems proposed by the present invention are not introduced in the present embodiment, but this does not indicate that other elements are not present in the present embodiment.
The fourth embodiment of the present invention relates to a plant yield prediction device. The fourth embodiment is substantially the same as the third embodiment, and mainly differs therefrom in that: in the fourth embodiment of the present invention, the obtaining module 301 is further configured to obtain the picking time of each picking and the plant yield of each picking before the predicted plant yield. The calculation module 302 is specifically configured to: according to the picking time of each picking, determining the picking interval period between two adjacent picking before the first time; determining the single yield of each picked plant before the first time according to the yield of each picking; determining the estimated picking times before the first time according to the seedling raising time, the growth duration of the seedling raising link, the growth duration of the planting link and the picking interval period between two adjacent picks before the first time; and determining the plant yield according to the estimated picking times, the seeding number, the survival rate of the seedling raising link, the survival rate of the planting link and the single yield of each picked plant before the first time.
Since the second embodiment corresponds to the present embodiment, the present embodiment can be implemented in cooperation with the second embodiment. The related technical details mentioned in the second embodiment are still valid in this embodiment, and the technical effects that can be achieved in the second embodiment can also be achieved in this embodiment, and are not described herein again in order to reduce the repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the second embodiment.
A fifth embodiment of the present invention is directed to a terminal, as shown in fig. 4, including at least one processor 401; and a memory 402 communicatively coupled to the at least one processor 401; wherein the memory 402 stores instructions executable by the at least one processor 401, the instructions being executable by the at least one processor 401 to enable the at least one processor 401 to perform the method for predicting plant yield as described in the above embodiments.
The terminal includes: one or more processors 401 and a memory 402, one processor 401 being exemplified in fig. 4. The processor 401 and the memory 402 may be connected by a bus or other means, and fig. 4 illustrates the connection by a bus as an example. The memory 402 is a non-volatile computer-readable storage medium, and can be used for storing non-volatile software programs, non-volatile computer-executable programs, and modules, such as the seedling raising time stored in the memory 402 in the embodiment of the present application. The processor 401 executes various functional applications of the device and data processing by running non-volatile software programs, instructions and modules stored in the memory 402, that is, implements the above-described plant yield prediction method.
The memory 402 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store a list of options, etc. Further, the memory 402 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 402 may optionally include memory located remotely from processor 401, which may be connected to an external device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more modules are stored in memory 402 and, when executed by one or more processors 401, perform a method for predicting plant yield in any of the method embodiments described above.
The product can execute the method provided by the embodiment of the application, has corresponding functional modules and beneficial effects of the execution method, and can refer to the method provided by the embodiment of the application without detailed technical details in the embodiment.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples for carrying out the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.
Claims (4)
1. A method for predicting plant yield, comprising:
obtaining seedling culture time; the seedling raising time is determined according to data returned by the detection of the seedling raising detection device;
determining that the difference value between the first time and the seedling raising time is greater than the sum value of the predicted duration of the seedling raising link and the predicted duration of the planting link;
acquiring the picking time of each picking and the plant yield of each picking before the plant yield is predicted; according to the picking time of each picking, determining a picking interval period between two adjacent picking before the first time; determining the individual yield of each picked individual plant each time before the first time according to the yield of each picking;
determining the plant yield at the first time according to the seedling raising time, the growth duration and survival rate of each growth link of the plant, the sowing number, the picking interval and the single yield of the single plant, and specifically comprises the following steps: determining the estimated picking times before the first time according to the seedling raising time, the growth duration of the seedling raising link, the growth duration of the planting link and the picking interval period between two adjacent picks before the first time; determining the plant yield according to the estimated picking times, the seeding number, the survival rate of a seedling raising link, the survival rate of a planting link and the single yield of each picked plant before the first time; wherein, the plant growth link comprises a seedling raising link and a planting link;
before the plant growth is in the planting link, the growth duration of the seedling raising link is the predicted duration of the seedling raising link;
during or after the plant growth is in the planting link, the growth duration of the seedling raising link is the actual duration of the seedling raising link; the actual time of the seedling culture link is determined according to the seedling culture time and the planting time; when the plant growth is in the planting link, the growth duration of the planting link is the predicted duration of the planting link; after the plant growth is in the planting link, the growth duration of the planting link is the actual duration of the planting link; the actual duration of the field planting link is determined according to the field planting time and the picking time of the 1 st picking, and the picking time is determined according to data returned by the picking detection device.
2. Method for predicting plant yield according to claim 1, wherein said plant yield at a first time is equal to: estimating the product of picking times, the seeding number, the survival rate of the seedling raising link, the survival rate of the planting link and the single yield of the single plant; wherein the estimated picking times are equal to: and subtracting the difference obtained by subtracting the growth duration of the seedling culture link from the growth duration of the planting link from the seedling culture time by the first time, and dividing the difference by the integer number of the quotient obtained in the picking interval.
3. An apparatus for predicting plant yield, comprising: the device comprises an acquisition module, a determination module and a calculation module;
the acquisition module is used for acquiring seedling raising time and acquiring picking time of each picking and plant yield of each picking before the plant yield is predicted; the seedling raising time is determined according to data returned by the detection of the seedling raising detection device;
the determining module is used for determining that the difference value between the first time and the seedling raising time is greater than the sum of the predicted duration of the seedling raising link and the predicted duration of the planting link;
the calculation module is used for determining the plant yield of the first time according to the seedling raising time, the growth duration and survival rate of each growth link of the plant, the number of the sowing seeds, the picking interval and the single yield of the single plant, and is specifically used for: according to the picking time of each picking, determining the picking interval period between two adjacent picking before the first time; determining an individual yield of individual plants harvested each time before said first time based on said yield harvested each time; determining the estimated picking times before the first time according to the seedling raising time, the growth duration of the seedling raising link, the growth duration of the planting link and the picking interval period between two adjacent picks before the first time; determining the plant yield according to the estimated picking times, the seeding number, the survival rate of a seedling raising link, the survival rate of a planting link and the single yield of each picked plant before the first time; wherein, the plant growth link comprises a seedling raising link and a planting link;
before the plant growth is in the planting link, the growth duration of the seedling raising link is the predicted duration of the seedling raising link;
during or after the plant growth is in the planting link, the growth duration of the seedling raising link is the actual duration of the seedling raising link; the actual time of the seedling culture link is determined according to the seedling culture time and the planting time; when the plant growth is in the planting link, the growth duration of the planting link is the predicted duration of the planting link; after the plant growth is in the planting link, the growth duration of the planting link is the actual duration of the planting link; the actual duration of the field planting link is determined according to the field planting time and the picking time of the 1 st picking, and the picking time is determined according to data returned by the picking detection device.
4. The plant yield prediction device of claim 3, wherein the plant yield at the first time is equal to: estimating the product of picking times, the seeding number, the survival rate of the seedling raising link, the survival rate of the planting link and the single yield of the single plant; wherein the estimated picking times are equal to: and subtracting the difference obtained by subtracting the growth duration of the seedling culture link from the growth duration of the planting link from the seedling culture time by the first time, and dividing the difference by the integer number of the quotient of the picking interval period.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160309659A1 (en) * | 2013-12-19 | 2016-10-27 | Phytech Ltd. | Method and system for treating crop according to predicted yield |
| CN106408132A (en) * | 2016-09-30 | 2017-02-15 | 深圳前海弘稼科技有限公司 | Method and device of crop yield prediction based on plantation device |
| CN107316116A (en) * | 2017-08-23 | 2017-11-03 | 吉林大学 | A kind of leafy vegetable production prediction method |
| CN107455183A (en) * | 2017-07-28 | 2017-12-12 | 深圳前海弘稼科技有限公司 | Guide implant system, guiding implantation methods and cultivation box |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160309659A1 (en) * | 2013-12-19 | 2016-10-27 | Phytech Ltd. | Method and system for treating crop according to predicted yield |
| CN106408132A (en) * | 2016-09-30 | 2017-02-15 | 深圳前海弘稼科技有限公司 | Method and device of crop yield prediction based on plantation device |
| CN107455183A (en) * | 2017-07-28 | 2017-12-12 | 深圳前海弘稼科技有限公司 | Guide implant system, guiding implantation methods and cultivation box |
| CN107316116A (en) * | 2017-08-23 | 2017-11-03 | 吉林大学 | A kind of leafy vegetable production prediction method |
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