Rice tillering prediction method and device and machine readable storage medium

Abstract

The application discloses a rice tillering prediction method and device and a machine readable storage medium, and relates to the technical field of crop planting. The method comprises the following steps: acquiring forecast weather information after rice transplanting, determining first micro-environment weather information based on the forecast weather information and a preset green return period forecast weather-micro-environment weather corresponding relationship, and determining a prediction time when the rice enters a tillering period based on the first micro-environment weather information and a tillering starting weather threshold. Second micro-environment weather information is determined based on the forecast weather information, the tillering period forecast weather-micro-environment weather corresponding relationship and the prediction time when the rice enters the tillering period, effective tillering prediction time range and ineffective tillering prediction starting time of the rice are determined based on the second micro-environment weather information and preset effective weather data. Through the prediction of effective tillering and ineffective tillering of the rice, reference bases can be provided for agricultural operations such as application of tillering fertilizer, field exposure and inhibition of ineffective tillering, so that the yield of the rice is improved.

Description

Technical Field

[0001] This application relates to the field of crop cultivation technology, specifically to a method, apparatus, and machine-readable storage medium for predicting rice tillering. Background Technology

[0002] Rice is the most widely planted and highest-yielding grain crop in China, playing a dominant role in food production and consumption. Rice yield is closely related to effective tillering; the number of effective tillers directly affects the final number of panicles and grains, thus determining the yield. Generally speaking, rationally controlling the number of tillers and the ratio of effective tillers can optimize the rice's growth structure, thereby significantly increasing yield. Besides effective tillering, rice also experiences ineffective tillering. These tillers not only fail to produce panicles but also consume nutrients during growth, hinder ventilation and light penetration, increase shade in the field, and consequently exacerbate the occurrence of pests and diseases.

[0003] Currently, most studies suggest that rice tillering is primarily influenced by air temperature, but is also closely related to meteorological conditions such as sunlight, precipitation, and air humidity. Environmental meteorological data can effectively describe the crop's growth environment. Some current planting techniques can predict rice tillering based on measured meteorological data, allowing for timely intervention to increase yield. However, the actual microenvironment of plants due to photosynthesis and transpiration differs from conventionally predicted or measured meteorological conditions, making predictions of rice tillering often inaccurate and their impact on yield growth inconsistent. Summary of the Invention

[0004] To address the aforementioned shortcomings in the prior art, the purpose of this application is to provide a method, apparatus, and machine-readable storage medium for predicting rice tillering.

[0005] To achieve the above objectives, the first aspect of this application provides a method for predicting rice tillering, comprising:

[0006] Obtain forecast meteorological information after rice transplanting;

[0007] The first microenvironment meteorological information is determined based on the forecast meteorological information and the pre-set correspondence between the forecast meteorological information and the microenvironment meteorological information during the greening period;

[0008] Based on the first microenvironment meteorological information and the tillering initiation meteorological threshold, the predicted time for rice to enter the tillering stage is determined. The tillering initiation meteorological threshold is the meteorological condition at which rice begins to enter the tillering stage.

[0009] The second microenvironment meteorological information is determined based on the forecast meteorological information, the correspondence between the forecast meteorological information for the tillering stage and the microenvironment meteorological information, and the predicted time when rice enters the tillering stage;

[0010] Based on the second microenvironment meteorological information and the preset effective meteorological data, the predicted time range of effective tillering and the predicted start time of ineffective tillering of rice are determined. The preset effective meteorological data refers to the meteorological information when rice is in the effective tillering stage.

[0011] In this embodiment of the application, the rice tillering prediction method further includes:

[0012] Multiple first effective accumulated temperature data of rice from the completion of transplanting to the tillering stage were obtained based on multiple rice tillering observation experiments;

[0013] The meteorological threshold for tillering initiation was determined based on multiple first effective accumulated temperature data.

[0014] In this embodiment of the application, the rice tillering prediction method further includes:

[0015] The first forecast meteorological data, the first actual meteorological data, and the first microenvironment meteorological data of rice during the rice tillering observation experiment were obtained.

[0016] By fitting the first forecast meteorological data, the first actual meteorological data, and the first microenvironment meteorological data, the correspondence between the forecast meteorological data and the microenvironment meteorological data during the greening period is obtained.

[0017] Acquire the second forecast meteorological data, the second actual meteorological data, and the second microenvironment meteorological data of rice during the tillering stage in the rice tillering observation experiment;

[0018] By fitting the second forecast meteorological data, the second actual meteorological data, and the second microenvironment meteorological data, the correspondence between the forecast meteorological data and the microenvironment meteorological data during the tillering stage was obtained.

[0019] In this embodiment of the application, the first forecast meteorological data, the first actual meteorological data, and the first microenvironment meteorological data are fitted together to obtain the correspondence between the forecast meteorological data and the microenvironment meteorological data during the greening period, including:

[0020] The first forecast meteorological data is fitted with the first actual meteorological data to obtain the correspondence between forecast meteorology and actual meteorology.

[0021] By fitting the first actual meteorological data with the first microenvironment meteorological data, the correspondence between actual meteorology and microenvironment meteorology is obtained.

[0022] The correspondence between forecast meteorology and actual meteorology and the correspondence between actual meteorology and microenvironmental meteorology is determined based on the correspondence between forecast meteorology and microenvironmental meteorology during the greening period.

[0023] In this embodiment of the application, the rice tillering prediction method further includes:

[0024] The rice tillering observation experiment was used to obtain the generation date of each new tiller and the effective number of tillers in rice during the tillering stage;

[0025] The effective tillering time range is determined based on the number of effective tillers and the generation date of each new tiller;

[0026] Microenvironmental meteorological data within the effective tillering time range in the rice tillering observation experiment were used as the preset effective meteorological data.

[0027] In this embodiment of the application, the effective tillering time range is determined based on the effective number of tillers and the generation date of each new tiller, including:

[0028] The number of new tillers is accumulated sequentially from oldest to newest based on the generation date;

[0029] The date on which new tillers begin to be generated is defined as the starting point of the effective tillering time range, and the date on which the accumulated number of new tillers reaches the effective tillering number is defined as the ending point of the effective tillering time range.

[0030] In this embodiment of the application, the microenvironment meteorological data includes daily average temperature data, the preset effective meteorological data includes effective accumulated temperature data, and the rice tillering prediction method further includes:

[0031] To obtain the daily average temperature data and the daily minimum temperature within the effective tillering time range in the rice tillering observation experiment;

[0032] For each day within the effective tillering time range, under the condition that the minimum temperature is less than the preset temperature threshold, the effective accumulated temperature data for that day is determined based on the daily average temperature data, the lower limit temperature for rice growth, and the minimum temperature.

[0033] When the minimum temperature is greater than or equal to the preset temperature threshold, the effective accumulated temperature data for the day is determined based on the daily average temperature data and the lower limit temperature for growth.

[0034] In this embodiment of the application, the rice tillering prediction method further includes:

[0035] Based on the meteorological information of the second microenvironment and the meteorological data of the tillering stage, the predicted time range of rice during the tillering stage was determined;

[0036] Based on the second microenvironment meteorological information and the meteorological data of the tillering end day, the predicted time of the rice entering the tillering end day was determined.

[0037] In this embodiment of the application, the rice tillering prediction method further includes:

[0038] The generation date of each new tiller during the tillering stage of rice was obtained based on rice tillering observation experiments;

[0039] The generation dates whose number of new tillers ranks within a preset ranking range among all generation dates are identified as the tillering peak period;

[0040] Microenvironmental meteorological data during the vigorous tillering period in rice tillering observation experiments were used as meteorological data for the vigorous tillering period.

[0041] In this embodiment of the application, the rice tillering prediction method further includes:

[0042] Based on rice tillering observation experiments, monitor whether new tillers are present in rice;

[0043] If the number of days in the first time range reaches a preset number of days threshold, the start time of the first time range is determined as the end of tillering. The first time range is the time range during which no new tillers are continuously generated after the rice enters the tillering stage.

[0044] The microenvironmental meteorological data at the end of the tillering period in the rice tillering observation experiment were used as the meteorological data for the end of the tillering period.

[0045] A second aspect of this application provides a rice tillering prediction device, comprising:

[0046] The memory is configured to store instructions;

[0047] The processor is configured to retrieve instructions from memory and, when executing the instructions, to implement the rice tillering prediction method as described in the preceding claims.

[0048] A third aspect of this application provides a machine-readable storage medium storing instructions for causing a machine to perform the rice tillering prediction method as described in the preceding claims.

[0049] The above technical solution acquires forecast meteorological information after rice transplanting. Based on the forecast meteorological information and the pre-defined correspondence between forecast meteorological information during the greening period and microenvironmental meteorology, the first microenvironmental meteorological information is determined. Based on the first microenvironmental meteorological information and the tillering initiation meteorological threshold, the predicted time for rice to enter the tillering stage is determined. Predicting the rice's entry into the tillering stage provides an effective time reference for agricultural interventions aimed at increasing rice yield. Based on the forecast meteorological information, the correspondence between forecast meteorological information during the tillering stage and microenvironmental meteorology, and the predicted time for rice to enter the tillering stage, the second microenvironmental meteorological information is determined. Based on the second microenvironmental meteorological information and pre-defined effective meteorological data, the predicted time range for effective tillering and the predicted start time for ineffective tillering are determined. Predicting effective and ineffective tillering provides a reference for agricultural operations such as applying tillering fertilizer, field drying, and suppressing ineffective tillering, thereby increasing rice yield.

[0050] Other features and advantages of the embodiments of this application will be described in detail in the following detailed description section. Attached Figure Description

[0051] The accompanying drawings are provided to further illustrate the embodiments of this application and form part of the specification. They are used together with the following detailed description to explain the embodiments of this application, but do not constitute a limitation on the embodiments of this application. In the drawings:

[0052] Figure 1 The illustration shows a flowchart of a rice tillering prediction method according to an embodiment of this application;

[0053] Figure 2 The schematic diagram illustrates the structure of a rice tillering prediction device according to an embodiment of this application. Detailed Implementation

[0054] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only for illustration and explanation of the embodiments of this application and are not intended to limit the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0055] It should be noted that the acquisition, transmission, storage, use, and processing of data in the technical solution of this application all comply with the relevant provisions of national laws and regulations. In the embodiments of this application, certain existing industry solutions such as software, components, and models may be mentioned. These should be considered exemplary, intended only to illustrate the feasibility of implementing the technical solution of this application, and do not imply that the applicant has already used or necessarily used such solutions.

[0056] It should be noted that if the embodiments of this application involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of the components in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0057] Furthermore, if the embodiments of this application involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, features defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.

[0058] Figure 1 The illustration shows a flowchart of a rice tillering prediction method according to an embodiment of this application. Figure 1 As shown in the figure, this application provides a method for predicting rice tillering, which may include the following steps:

[0059] Step 100: Obtain forecast weather information after rice transplanting;

[0060] In this embodiment, it should be noted that rice transplanting is a crucial step in the rice cultivation process, playing a significant role in improving rice yield and quality, controlling pests and diseases, enhancing lodging resistance, and facilitating field management. Rice transplanting refers to transferring seedlings from seedling trays or nursery fields to the main field, allowing the rice to develop and grow under more suitable conditions. Forecasted meteorological information includes meteorological data for a predicted future period, which can be determined based on actual needs. This forecasted meteorological data can be obtained through existing meteorological forecasting methods. The tillering process of rice is mainly affected by temperature, but is also closely related to meteorological conditions such as sunlight, precipitation, and air humidity. Obtaining forecasted meteorological information after rice transplanting provides an effective data benchmark for predicting the rice tillering process.

[0061] Step 200: Determine the first microenvironment meteorological information based on the forecast meteorological information and the preset correspondence between the forecast meteorological information and the microenvironment meteorological information during the greening period;

[0062] It should be noted that the greening-up period refers to the time after transplanting or overwintering when plant seedlings turn from yellow to green and resume growth. By analyzing the meteorological information of the environment in which rice is located during the greening-up period, the starting time of rice tillering can be predicted. It is understandable that photosynthesis and transpiration will cause the actual microenvironment of the plant to differ somewhat from conventionally predicted or measured meteorological conditions. In this embodiment, a correspondence is pre-established between the actual microenvironment of rice during the greening-up period and the predicted meteorological information, i.e., the greening-up period forecast meteorological-microenvironment meteorological correspondence. Through this correspondence, the meteorological information that the actual microenvironment of rice might correspond to if the rice is under the meteorological conditions corresponding to the forecast meteorological information during the greening-up period can be determined; this is the first microenvironment meteorological information. Based on the first microenvironment meteorological information, which is closer to the actual growth environment of rice during the greening-up period, the prediction of the starting time of rice tillering can be achieved more accurately.

[0063] Step 300: Based on the first microenvironment meteorological information and the tillering initiation meteorological threshold, determine the predicted time when rice enters the tillering stage, wherein the tillering initiation meteorological threshold is the meteorological condition when rice begins to enter the tillering stage;

[0064] It should be noted that the tillering initiation meteorological threshold refers to the meteorological conditions at which rice begins to enter the tillering stage. In other words, when the actual meteorological conditions of the rice's current environment reach this tillering initiation meteorological threshold, the rice will begin to enter the tillering stage. Predicting the timing of rice entering the tillering stage provides an effective time reference for agricultural production activities, enabling growers to ensure healthy rice growth and high yields through reasonable water management, fertilization management, pest and disease control, and field observation and adjustments.

[0065] Step 400: Determine the second microenvironment meteorological information based on the forecast meteorological information, the correspondence between the forecast meteorological information for the tillering stage and the microenvironment meteorological information, and the predicted time when rice enters the tillering stage;

[0066] It should be noted that the tillering stage encompasses the time from the start to the end of tillering in rice. Rice growth is more active during the tillering stage, resulting in enhanced photosynthesis and transpiration. Therefore, the correspondence between the microenvironmental meteorological conditions during this stage and conventionally predicted or measured meteorological conditions will differ somewhat from other growth stages. In this embodiment, a correspondence is pre-established between the actual microenvironment of rice during the tillering stage and the predicted meteorological information—that is, the tillering stage predicted meteorological-microenvironmental meteorological correspondence. This correspondence is then used to further determine the possible meteorological information corresponding to the actual microenvironment of rice during the tillering stage under the meteorological conditions corresponding to the predicted meteorological information—that is, the second microenvironmental meteorological information. Based on this second microenvironmental meteorological information, which more closely reflects the actual growth environment of rice during the tillering stage, more accurate predictions of the rice's processes during this stage can be achieved. Understandably, determining the second microenvironment meteorological information requires considering meteorological data after the rice enters the tillering stage. That is, the forecast meteorological information after the predicted time of the rice entering the tillering stage is converted to obtain the second microenvironment meteorological information.

[0067] Step 500: Based on the second microenvironment meteorological information and the preset effective meteorological data, determine the predicted time range of effective tillering of rice and the predicted start time of ineffective tillering, wherein the preset effective meteorological data is the meteorological information when rice is in the effective tillering stage.

[0068] It should be noted that rice tillering can include effective tillers and ineffective tillers. Effective tillers refer to branches that can produce ears of rice or wheat with harvestable value, directly contributing to crop yield. In one embodiment, a tiller that can produce ears of rice or wheat with more than 10 grains at maturity is considered an effective tiller. Ineffective tillers refer to branches that cannot produce ears of rice or produce ears of rice but do not produce grains. These branches gradually stagnate and eventually die during growth, not only failing to contribute to yield but also consuming plant nutrients and reducing overall yield. The preset effective meteorological data refers to the pre-determined meteorological conditions required for rice to only undergo effective tillering. The time corresponding to the portion of the second microenvironment meteorological information that meets the preset effective meteorological data is the predicted time range for determining effective rice tillering. Since invalid tillers generally appear in the later stages of tillering, in this embodiment, invalid tillers are all considered as products of later tillering. That is, the end date of the predicted time range for valid tillers is the predicted start date for invalid tillers. In one embodiment, the day after the end date of the predicted time range for valid tillers can also be determined as the predicted start date for invalid tillers.

[0069] In this embodiment, forecast meteorological information after rice transplanting is acquired. Based on the forecast meteorological information and the preset correspondence between forecast meteorological information during the greening period and microenvironmental meteorological information, the first microenvironmental meteorological information is determined. Based on the first microenvironmental meteorological information and the tillering initiation meteorological threshold, the predicted time for rice to enter the tillering stage is determined. Predicting the rice's entry into the tillering stage provides an effective time reference for agricultural interventions aimed at increasing rice yield. Based on the forecast meteorological information, the correspondence between forecast meteorological information during the tillering stage and microenvironmental meteorological information, and the predicted time for rice to enter the tillering stage, the second microenvironmental meteorological information is determined. Based on the second microenvironmental meteorological information and preset effective meteorological data, the predicted time range for effective tillering and the predicted start time for ineffective tillering are determined. Predicting effective and ineffective tillering provides a reference for agricultural operations such as applying tillering fertilizer, exposing and drying fields, and suppressing ineffective tillering, thereby increasing rice yield.

[0070] In one embodiment, the rice tillering prediction method further includes:

[0071] Multiple first effective accumulated temperature data of rice from the completion of transplanting to the tillering stage were obtained based on multiple rice tillering observation experiments;

[0072] The meteorological threshold for tillering initiation was determined based on multiple first effective accumulated temperature data.

[0073] In this embodiment, it should be noted that the rice tillering observation experiment refers to a pre-conducted rice planting experiment. Through long-term and repeated observations of the rice growth process, the relationship between rice growth patterns and environmental meteorological conditions can be summarized, providing reference data for actual rice production activities. Effective accumulated temperature data refers to the sum of effective temperatures during a certain growth period or the entire growth period of the crop, that is, the sum of the differences between the daily average air temperature and biological zero degree over a certain period, where biological zero degree is the lowest temperature at which the crop begins to grow and develop. The first effective accumulated temperature data refers to the effective accumulated temperature data of rice from the completion of transplanting to the tillering stage in the rice tillering observation experiment. Multiple first effective accumulated temperature data points can be obtained by conducting multiple different rice tillering observation experiments from the completion of transplanting to the tillering stage. Based on multiple first effective accumulated temperature data points, a stable value is determined as the meteorological threshold for the start of tillering. For example, the multiple first effective accumulated temperature data are first preprocessed, including outlier removal and data standardization. Then, the average value of the preprocessed first effective accumulated temperature data is calculated, and this average value is used as the tillering initiation meteorological threshold. It is understandable that different tillering initiation meteorological thresholds can be determined for different varieties, different climatic conditions, or different planting soil conditions. Once the tillering initiation meteorological threshold is determined, it can provide reference information on the microenvironmental meteorological conditions for rice entering the tillering stage. This allows for the determination of the possible tillering initiation time during actual rice planting based on the matching degree between the forecast meteorological information and the reference information on microenvironmental meteorological conditions when obtaining forecast meteorological information for actual rice planting.

[0074] In this embodiment, by determining the meteorological threshold for the start of tillering, an effective data standard is provided for predicting when rice enters the tillering stage, thereby improving the accuracy of rice tillering prediction.

[0075] In one embodiment, the rice tillering prediction method further includes:

[0076] The first forecast meteorological data, the first actual meteorological data, and the first microenvironment meteorological data of rice during the rice tillering observation experiment were obtained.

[0077] By fitting the first forecast meteorological data, the first actual meteorological data, and the first microenvironment meteorological data, the correspondence between the forecast meteorological data and the microenvironment meteorological data during the greening period is obtained.

[0078] Acquire the second forecast meteorological data, the second actual meteorological data, and the second microenvironment meteorological data of rice during the tillering stage in the rice tillering observation experiment;

[0079] By fitting the second forecast meteorological data, the second actual meteorological data, and the second microenvironment meteorological data, the correspondence between the forecast meteorological data and the microenvironment meteorological data during the tillering stage was obtained.

[0080] In this embodiment, it should be noted that the forecast meteorological data includes meteorological data predicted for a future period, while the actual meteorological data refers to actual meteorological data from the past. Forecast meteorological data for a specific period, as well as actual meteorological data and microenvironmental meteorological data for that specific period, can be obtained through rice tillering observation experiments. Forecast meteorological data can be obtained through existing meteorological forecasting methods, while actual meteorological data can be obtained by installing field meteorological stations in farmland or planting areas. Microenvironmental meteorological data can be obtained by installing rice canopy temperature sensors and rice canopy humidity sensors in farmland or planting areas. The forecast meteorological data, actual meteorological data, and microenvironmental meteorological data for the rice greening stage constitute the first forecast meteorological data, the first actual meteorological data, and the first microenvironmental meteorological data; the forecast meteorological data, actual meteorological data, and microenvironmental meteorological data for the rice tillering stage constitute the second forecast meteorological data, the second actual meteorological data, and the second microenvironmental meteorological data.

[0081] It should be noted that the correspondence between the forecast meteorological conditions during the greening-up stage and the microenvironmental meteorological conditions during the tillering stage is determined using data fitting. Data fitting can be performed using the least squares method to obtain polynomial functions representing the correspondence between the forecast meteorological conditions during the greening-up stage and the microenvironmental meteorological conditions during the tillering stage. The order of these polynomial functions can be determined based on practical applications; for example, it can be a third-order polynomial. Specifically, different correspondences are obtained by fitting data from different periods. The correspondence between the forecast meteorological conditions during the greening-up stage is based on the first forecast meteorological data, the first actual meteorological data, and the first microenvironmental meteorological data for the rice greening-up stage; the correspondence between the forecast meteorological conditions during the tillering stage is based on the second forecast meteorological data, the second actual meteorological data, and the second microenvironmental meteorological data for the rice tillering stage.

[0082] In this embodiment, the conversion between forecast meteorological information and microenvironment meteorological information is realized through the correspondence between forecast meteorological information during the greening stage and microenvironment meteorological information during the tillering stage. This fully considers the influence of photosynthesis and transpiration of rice at different stages, and provides more accurate meteorological reference data for rice tillering prediction.

[0083] Specifically, in one embodiment, the first forecast meteorological data, the first actual meteorological data, and the first microenvironment meteorological data are fitted together to obtain the correspondence between the forecast meteorological data and the microenvironment meteorological data during the greening period, including:

[0084] The first forecast meteorological data is fitted with the first actual meteorological data to obtain the correspondence between forecast meteorology and actual meteorology.

[0085] By fitting the first actual meteorological data with the first microenvironment meteorological data, the correspondence between actual meteorology and microenvironment meteorology is obtained.

[0086] The correspondence between forecast meteorology and actual meteorology and the correspondence between actual meteorology and microenvironmental meteorology is determined based on the correspondence between forecast meteorology and microenvironmental meteorology during the greening period.

[0087] It should be noted that the data fitting methods for the correspondence between forecast meteorological conditions and microenvironmental meteorological conditions during the greening-up stage and the tillering stage are similar, differing only in the data used for data fitting. The data fitting process for the tillering stage forecast meteorological-microenvironmental meteorological correspondence can refer to the fitting process for the greening-up stage forecast meteorological-microenvironmental meteorological correspondence. Specifically, the greening-up stage forecast meteorological-microenvironmental meteorological correspondence can be decomposed into two sub-correspondences: the forecast meteorological-actual meteorological correspondence and the actual meteorological-microenvironmental meteorological correspondence. The forecast meteorological-actual meteorological correspondence refers to the correspondence between forecast meteorological data and actual meteorological data; the actual meteorological-microenvironmental meteorological correspondence refers to the correspondence between actual meteorological data and microenvironmental meteorological data. For the greening-up stage of rice, the first forecast meteorological data is fitted with the first actual meteorological data to obtain the forecast meteorological-actual meteorological correspondence; the first actual meteorological data is fitted with the first microenvironmental meteorological data to obtain the actual meteorological-microenvironmental meteorological correspondence.

[0088] Data fitting can be achieved by using the least squares method to calculate a polynomial function. Taking the data fitting between the first forecast meteorological data and the first actual meteorological data to obtain the correspondence between forecast and actual meteorological data as an example, assuming the polynomial function is a third-order polynomial, the polynomial function can be expressed as:

[0089] y = a0 + a1x + a2x 2 +a3*x 3

[0090] Where y represents the first actual meteorological data; x represents the forecast meteorological data; and a0-a3 represent the fitting coefficients.

[0091] In this embodiment, by first determining the correspondence between forecast meteorological data and actual meteorological data, the error between forecast meteorological data and actual meteorological data is corrected. Then, by determining the correspondence between actual meteorological data and microenvironmental meteorological data, the correspondence between forecast meteorological data and microenvironmental meteorological data during the greening period is determined, thereby correcting the error between actual meteorological data and microenvironmental meteorological data. This improves the accuracy of judging the growth requirements and microenvironmental changes of rice during its growth cycle, and thus improves the effectiveness of predicting rice tillering.

[0092] In one embodiment, the rice tillering prediction method further includes:

[0093] The rice tillering observation experiment was used to obtain the generation date of each new tiller and the effective number of tillers in rice during the tillering stage;

[0094] The effective tillering time range is determined based on the number of effective tillers and the generation date of each new tiller;

[0095] Microenvironmental meteorological data within the effective tillering time range in the rice tillering observation experiment were used as the preset effective meteorological data.

[0096] In this embodiment, it should be noted that the preset effective meteorological data refers to the meteorological conditions required for rice to only undergo effective tillering. By pre-determining the preset effective meteorological data, the effective tillering time of rice can be accurately predicted by combining it with actual forecast meteorological data. The process of pre-determining the preset effective meteorological data can be determined through rice tillering observation experiments. The time range of effective tillering in rice tillering observation experiments is determined, and the preset effective meteorological data is obtained based on the microenvironmental meteorological conditions corresponding to the effective tillering time range. Specifically, during the rice tillering observation experiment, the generation date of each new tiller is recorded, and the number of effective tillers obtained in the final rice tillering observation experiment is obtained, i.e., the number of effective tillers. Since ineffective tillers are considered as products of later tillering, the effective tillering time range of rice can be determined after knowing the generation dates of all new tillers and the number of effective tillers among all new tillers.

[0097] Specifically, in one embodiment, determining the effective tillering time range based on the effective number of tillers and the generation date of each new tiller includes:

[0098] The number of new tillers is accumulated sequentially from oldest to newest based on the generation date;

[0099] The date on which new tillers begin to be generated is defined as the starting point of the effective tillering time range, and the date on which the accumulated number of new tillers reaches the effective tillering number is defined as the ending point of the effective tillering time range.

[0100] It should be noted that during the tillering stage of rice, effective tillering occurs first, followed by ineffective tillering. The date on which new tillers begin to form is defined as the starting point of the effective tillering time range. After determining the number of effective tillers, the number of new tillers is accumulated sequentially from the earliest to the latest date of their formation. When the accumulated number of new tillers reaches the effective tillering number, the date corresponding to this point is defined as the end point of the effective tillering time range. For example, if rice begins tillering on the 1st, and the number of new tillers formed on the 1st, 2nd, 3rd, 4th, and 5th are 1, 2, 3, 2, and 0 respectively, resulting in 5 effective tillers, then by accumulating the number of new tillers starting from the 1st, it can be known that the accumulated number of new tillers will reach the effective tillering number on the 3rd. Therefore, the target formation date is the 3rd. The effective tillering time range is from No. 1 to No. 3.

[0101] After determining the effective tillering time range, the microenvironmental meteorological data within that effective tillering time range in the rice tillering observation experiment were used as the preset effective meteorological data.

[0102] In this embodiment, the effective tillering time range is determined through rice tillering observation experiments to further ensure the accuracy and practicality of the preset effective meteorological data.

[0103] Furthermore, in one embodiment, the microenvironment meteorological data includes daily average temperature data, the preset effective meteorological data includes effective accumulated temperature data, and the rice tillering prediction method further includes:

[0104] To obtain the daily average temperature data and the daily minimum temperature within the effective tillering time range in the rice tillering observation experiment;

[0105] For each day within the effective tillering time range, under the condition that the minimum temperature is less than the preset temperature threshold, the effective accumulated temperature data for that day is determined based on the daily average temperature data, the lower limit temperature for rice growth, and the minimum temperature.

[0106] When the minimum temperature is greater than or equal to the preset temperature threshold, the effective accumulated temperature data for the day is determined based on the daily average temperature data and the lower limit temperature for growth.

[0107] It should be noted that low temperatures can delay rice tillering. Therefore, to increase rice yield and ensure effective tillering, the impact of the minimum temperature needs to be considered when determining the preset effective meteorological data. The impact of the minimum temperature on rice tillering is mainly reflected in the effective accumulated temperature data, which needs to be calculated based on the daily average temperature data and the lower limit temperature for rice growth. In this embodiment, the preset effective meteorological data includes effective accumulated temperature data, and the microenvironment meteorological data includes daily average temperature data. The preset temperature threshold is the low temperature threshold that will delay rice tillering, determined through multiple experiments or expert experience. When the minimum temperature is lower than this preset temperature threshold, the offset between the minimum temperature and the preset temperature threshold needs to be considered when calculating the effective accumulated temperature data. Specifically, the daily average temperature data and the minimum temperature of each day within the effective tillering time range are obtained in the rice tillering observation experiment; for each day within the effective tillering time range, the effective accumulated temperature data for that day can be calculated in the following way:

[0108] When the lowest temperature of the day is lower than the preset temperature threshold, the effective accumulated temperature data for that day is:

[0109]

[0110] Where i represents the i-th day after entering the tillering stage; the offset is the offset between the lowest temperature on the i-th day and the preset temperature threshold. The lowest temperature is 2℃ and the preset temperature threshold is 5℃, so the offset is 3.

[0111] When the lowest temperature of the day is greater than or equal to the preset temperature threshold, the effective accumulated temperature data for that day is:

[0112]

[0113] Where i represents the i-th day after entering the tillering stage.

[0114] It is understandable that the first effective accumulated temperature data used to determine the meteorological threshold for tillering initiation can also take into account the influence of the minimum temperature in the above manner, thereby achieving adjustment and revision of the first effective accumulated temperature data.

[0115] In this embodiment, by considering the delaying effect of minimum temperature on rice tillering when determining the preset effective meteorological data, the comprehensiveness and effectiveness of rice tillering prediction are further improved.

[0116] In one embodiment, the rice tillering prediction method further includes:

[0117] Based on the meteorological information of the second microenvironment and the meteorological data of the tillering stage, the predicted time range of rice during the tillering stage was determined;

[0118] Based on the second microenvironment meteorological information and the meteorological data of the tillering end day, the predicted time of the rice entering the tillering end day was determined.

[0119] In this embodiment, it should be noted that rice undergoes a vigorous tillering period during effective tillering. The number of new tillers during this period is significantly higher than during the entire tillering period. Predicting this vigorous tillering period can provide a more accurate time reference for rice cultivation activities. The end of tillering is called the tillering end date. Predicting this tillering end date can further provide data reference for rice cultivation activities. Specifically, after obtaining forecast meteorological information, the forecast meteorological information is converted into second microenvironment meteorological information based on the correspondence between forecast meteorological information during the tillering period and microenvironment meteorological information. This second microenvironment meteorological information is then matched with meteorological data during the vigorous tillering period to determine the predicted time range of the vigorous tillering period. Finally, the second microenvironment meteorological information is matched with meteorological data at the tillering end date to determine the predicted time when rice enters the tillering end date.

[0120] In one embodiment, the rice tillering prediction method further includes:

[0121] The generation date of each new tiller during the tillering stage of rice was obtained based on rice tillering observation experiments;

[0122] The generation dates whose number of new tillers ranks within a preset ranking range among all generation dates are identified as the tillering peak period;

[0123] Microenvironmental meteorological data during the vigorous tillering period in rice tillering observation experiments were used as meteorological data for the vigorous tillering period.

[0124] It should be noted that during the rice tillering observation experiment, the date of each new tiller formation was recorded, and the number of new tillers on each formation date was obtained. All formation dates of new tillers were ranked according to the number of new tillers, and those dates falling within a preset ranking range were considered the tillering peak period. This preset ranking range can be adjusted adaptively based on actual application needs. After determining the tillering peak period, the microenvironmental meteorological data within that tillering peak period were used as the meteorological data for that period.

[0125] In this embodiment, by determining the meteorological data of the tillering peak period, an accurate data reference is provided for predicting the tillering peak period of rice, thereby improving the comprehensiveness of rice tillering prediction.

[0126] In one embodiment, the rice tillering prediction method further includes:

[0127] Based on rice tillering observation experiments, monitor whether new tillers are present in rice;

[0128] If the number of days in the first time range reaches a preset number of days threshold, the start time of the first time range is determined as the end of tillering. The first time range is the time range during which no new tillers are continuously generated after the rice enters the tillering stage.

[0129] The microenvironmental meteorological data at the end of the tillering period in the rice tillering observation experiment were used as the meteorological data for the end of the tillering period.

[0130] It should be noted that during the rice tillering observation experiment, after entering the tillering stage, the presence of new tillers was recorded daily. The occurrence of new tillers was used to determine whether the rice had entered the tillering end day. Specifically, when the number of consecutive days without new tillers after entering the tillering stage reached a preset threshold, the rice was considered to have entered the tillering end day in the rice tillering observation experiment. For example, if no new tillers were produced for ten consecutive days, the last day that new tillers appeared was considered the tillering end day. The microenvironmental meteorological data of this tillering end day in the rice tillering observation experiment was used as the meteorological data for the tillering end day, providing meteorological data reference for subsequent prediction of rice tillering end days, further improving the comprehensiveness and practicality of rice tillering prediction.

[0131] Figure 2 A schematic block diagram of a rice tillering prediction device 1000 according to an embodiment of this application is shown. Figure 2 As shown in the figure, this application provides a rice tillering prediction device 1000, which may include:

[0132] Memory 1001 is configured to store instructions;

[0133] The processor 1002 is configured to retrieve instructions from the memory 1001 and, when executing the instructions, to implement the rice tillering prediction method described in the above embodiments.

[0134] This application also provides a machine-readable storage medium storing instructions that cause a machine to execute the rice tillering prediction method described in the above embodiments.

[0135] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0136] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0137] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0138] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0139] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0140] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0141] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0142] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0143] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for predicting rice tillering, characterized in that, include: Obtain forecast meteorological information after rice transplanting; The first microenvironment meteorological information is determined based on the aforementioned forecast meteorological information and the correspondence between the forecast meteorological information during the greening period and the microenvironment meteorological information. Based on the first microenvironment meteorological information and the tillering initiation meteorological threshold, the predicted time for rice to enter the tillering stage is determined, wherein the tillering initiation meteorological threshold is the meteorological condition at which rice begins to enter the tillering stage; The second microenvironment meteorological information is determined based on the forecast meteorological information, the correspondence between the forecast meteorological information for the tillering stage and the microenvironment meteorological information, and the predicted time when rice enters the tillering stage. Based on the second microenvironment meteorological information and the preset effective meteorological data, the predicted time range of effective tillering of rice and the predicted start time of ineffective tillering are determined, wherein the preset effective meteorological data is the meteorological information when rice is in the effective tillering stage.

2. The rice tillering prediction method according to claim 1, characterized in that, Also includes: Multiple first effective accumulated temperature data of rice from the completion of transplanting to the tillering stage were obtained based on multiple rice tillering observation experiments; The tillering initiation meteorological threshold is determined based on multiple first effective accumulated temperature data.

3. The rice tillering prediction method according to claim 1, characterized in that, Also includes: The first forecast meteorological data, the first actual meteorological data, and the first microenvironment meteorological data of rice during the rice tillering observation experiment were obtained. By fitting the first forecast meteorological data, the first actual meteorological data, and the first microenvironment meteorological data, the correspondence between the forecast meteorological data and the microenvironment meteorological data during the greening period is obtained. Acquire the second forecast meteorological data, the second actual meteorological data, and the second microenvironment meteorological data of rice during the tillering stage in the rice tillering observation experiment; The second forecast meteorological data, the second actual meteorological data, and the second microenvironment meteorological data are fitted together to obtain the correspondence between the forecast meteorological data and the microenvironment meteorological data during the tillering stage.

4. The rice tillering prediction method according to claim 3, characterized in that, The step of fitting the first forecast meteorological data, the first actual meteorological data, and the first microenvironment meteorological data to obtain the correspondence between the forecast meteorological data and the microenvironment meteorological data during the greening period includes: The first forecast meteorological data is fitted with the first actual meteorological data to obtain the correspondence between forecast meteorology and actual meteorology. The first actual meteorological data and the first microenvironment meteorological data are fitted together to obtain the correspondence between actual meteorology and microenvironment meteorology. The correspondence between forecast meteorology and actual meteorology and the correspondence between actual meteorology and microenvironmental meteorology are determined based on the correspondence between forecast meteorology and microenvironmental meteorology during the greening period.

5. The method for predicting rice tillering according to claim 1, characterized in that, Also includes: The rice tillering observation experiment was used to obtain the generation date of each new tiller and the effective number of tillers in rice during the tillering stage; The effective tillering time range is determined based on the effective tillering number and the generation date of each new tiller; The microenvironmental meteorological data within the effective tillering time range in the rice tillering observation experiment are used as the preset effective meteorological data.

6. The rice tillering prediction method according to claim 5, characterized in that, The determination of the effective tillering time range based on the effective tillering number and the generation date of each new tiller includes: The number of newly generated tillers is accumulated sequentially from the oldest to the most recent based on the generation date; The date on which new tillers begin to be generated is defined as the starting point of the effective tillering time range, and the date on which the accumulated number of new tillers reaches the effective tillering number is defined as the ending point of the effective tillering time range.

7. The rice tillering prediction method according to claim 5, characterized in that, The microenvironment meteorological data includes daily average temperature data, the preset effective meteorological data includes effective accumulated temperature data, and the rice tillering prediction method further includes: Obtain the daily average temperature data and the daily minimum temperature within the effective tillering time range in the rice tillering observation experiment; For each day within the effective tillering time range, if the minimum temperature is less than a preset temperature threshold, the effective accumulated temperature data for that day is determined based on the daily average temperature data, the lower limit temperature for rice growth, and the minimum temperature. If the minimum temperature is greater than or equal to a preset temperature threshold, the effective accumulated temperature data for the day is determined based on the daily average temperature data and the lower limit temperature for growth.

8. The method for predicting rice tillering according to claim 1, characterized in that, Also includes: Based on the second microenvironment meteorological information and meteorological data during the tillering vigorous period, the predicted time range of the rice during the tillering vigorous period is determined; Based on the second microenvironment meteorological information and the meteorological data of the tillering end day, the predicted time when the rice enters the tillering end day is determined.

9. The method for predicting rice tillering according to claim 8, characterized in that, Also includes: The generation date of each new tiller during the tillering stage of rice was obtained based on rice tillering observation experiments; The generation dates whose number of new tillers ranks within a preset ranking range among all the aforementioned generation dates are identified as the tillering peak period; The microenvironmental meteorological data during the vigorous tillering period in the rice tillering observation experiment were used as the meteorological data for the vigorous tillering period.

10. The rice tillering prediction method according to claim 8, characterized in that, Also includes: The presence of new tillers in the rice was monitored based on rice tillering observation experiments; If the number of days in the first time range reaches a preset number of days threshold, the start time of the first time range is determined as the end of tillering, wherein the first time range is the time range during which no new tillers are continuously generated after the rice enters the tillering stage; The microenvironmental meteorological data of the last day of tillering in the rice tillering observation experiment are used as the meteorological data of the last day of tillering.

11. A rice tillering prediction device, characterized in that, include: The memory is configured to store instructions; The processor is configured to retrieve the instructions from the memory and, when executing the instructions, to implement the rice tillering prediction method according to any one of claims 1 to 10.

12. A machine-readable storage medium, characterized in that, The machine-readable storage medium stores instructions for causing the machine to perform the rice tillering prediction method according to any one of claims 1 to 10.

Images