TW202022776A - Agricultural data service server, method and system thereof - Google Patents

Abstract

Agricultural data service server having a communication unit, a storage unit and a processing unit is provided. The communication unit receives a plurality of farmland information and a plurality of farming records. The farmland information contains the first farmland information. The storage unit stores a plurality of modules and an agricultural database having a plurality of reference information. The processing unit performs an agricultural module so as to generate a first tillage suggestion according to the data corresponding to the first farmland information in the reference information. The agricultural data module transforms the first tillage suggestion into a second tillage suggestion according to the data corresponding to the first tillage record and the data corresponding to the first farmland information in the reference information when receiving an input request of a first farming record corresponding to the first farmland information.

Description

Agricultural data service server, method and system

The invention relates to an agricultural data processing and analysis technology, and in particular to an agricultural data service server, method and system.

Early farming techniques mostly relied on the wisdom of their ancestors, and were passed down through word of mouth and written records. However, farming techniques not only vary with crop types, but also involve environmental factors such as weather and soil. For example, if the weather is different, the farming frequency, the amount of pesticides, and the amount of fertilizers need to be adjusted accordingly. The estimated harvest volume is also different. In addition, time is also one of the important evaluation factors. After a period of time, the nature of the soil may change due to changes in pesticides, fertilizers, and environmental factors. And in a period of time, the amount of pesticides and fertilizers that crops can withstand is also limited. Therefore, even if the knowledge of farming techniques is obtained, it is still difficult for experienced farmers to misjudge, and it is not easy for novice farmers to get started. Therefore, how to help novice farmers get started more quickly and assist experienced farmers to adopt more accurate farming schemes is one of the topics that those skilled in the art are committed to.

The present invention provides an agricultural data service server, a method and a system thereof to generate a scientific farming plan through accumulated farming, environmental and other data and farming knowledge content, thereby providing farmers with a more accurate farming plan.

In order to achieve one or part or all of the above objectives or other objectives, the agricultural data service server of an embodiment of the present invention has a communication unit, a storage unit, and a processing unit. The communication unit receives multiple farmland information and multiple farming records. The farmland information has the first farmland information. The storage unit stores multiple modules and an agricultural database. The agricultural database has reference information. The processing unit is coupled to the communication unit and the storage unit. The processing unit executes the module, and the module has at least an agricultural suggestion module. The agricultural suggestion module will obtain the first farming suggestion based on the corresponding first farmland information in the reference information. When the agricultural advice module receives the new instruction of the first farming record corresponding to the first farmland information through the communication unit, it converts according to the data of the corresponding first farming record in the reference information and the data of the corresponding first farmland information in the reference information. The first farming suggestion is the second farming suggestion.

In order to achieve one or part or all of the above-mentioned purposes or other purposes, the agricultural data service method of an embodiment of the present invention has the following steps: receiving a plurality of farmland information and a plurality of farming records, wherein the farmland information has the first farmland Information, and the farming record includes the first farming record corresponding to the first farmland information; storing farmland information and the farming records; and obtaining the first farming suggestion based on the data corresponding to the first farmland information in the multiple reference information, and receiving When the first farming record is added, the first farming suggestion is converted into the second farming suggestion based on the reference information corresponding to the first farming record and the reference information corresponding to the first farmland information.

In order to achieve one or part or all of the above-mentioned purposes or other purposes, the agricultural data service system of an embodiment of the present invention has a handheld device and an agricultural data service server. The handheld device has a display unit and provides an input interface. The handheld device receives the first farmland information and farming records through the input interface. The agricultural data service server is communicatively connected to the handheld device and stores multiple reference information. The agricultural data service server receives the first farmland information from the handheld device, and obtains the first farming suggestion according to the data corresponding to the first farmland information in the reference information. When the agricultural data service server also receives the new command of the first farming record, it converts the first farming suggestion into the second farming suggestion based on the data of the corresponding first farming record in the reference information and the data of the corresponding first farmland information in the reference information . The handheld device also receives the first farming suggestion and the second farming suggestion from the agricultural data service server, and displays the first farming suggestion and the second farming suggestion on the display unit.

Based on the above, the agricultural data service server, agricultural data service method, and agricultural data service system provided by this disclosure collect farmland information and farming records, and then provide more accurate farming suggestions in a digital manner. In particular, the agricultural data service server, the agricultural data service method, and the agricultural data service system will continuously adjust the farming suggestions on the same farmland based on the farming records, so as to adjust the corresponding farming suggestions according to the farming conditions of the farmland. In order to make the above-mentioned features and advantages of the present invention more obvious and understandable, the embodiments are specifically described below and described in detail in conjunction with the accompanying drawings.

The present invention provides an agricultural data service server, a method and a system thereof to generate a scientific farming plan through accumulated farming, environmental and other data and farming knowledge content, thereby providing farmers with a more accurate farming plan.

FIG. 1 is a schematic diagram of an agricultural data service server according to an embodiment of the disclosure. Please refer to FIG. 1. In this embodiment, the agricultural data service server 100 has a communication unit 110, a storage unit 120 and a processing unit 130.

The communication unit 110 is used to transmit and receive information. In particular, the communication unit 110 receives farmland information and farming records. The communication unit 110 can be implemented with various types of communication chips. For example, the communication chip can support Global System for Mobile communication (GSM) and Personal Handy-phone System (PHS). , Code Division Multiple Access (CDMA) system, Wideband Code Division Multiple Access (WCDMA) system, Long Term Evolution (LTE) system, Worldwide interoperability For Microwave Access (WiMAX) system, Wireless Fidelity (Wi-Fi) system or Bluetooth signal transmission components, but the present invention is not limited to this.

The storage unit 120 is used to store various necessary program codes, data, and software for running the agricultural data service server 100. In particular, the storage unit 120 also stores an agricultural advice module 122 and an agricultural database 124.

The agricultural suggestion module 122 is used to generate corresponding farming suggestions based on farmland information or/and farming records. The details of the execution of the agricultural suggestion module 122 when it is run will be detailed later.

The agricultural database 124 is used to store various data. In particular, the agricultural database 124 stores reference information, farmland information, and farming records. The agricultural database 124 can be a database accessed through various database retrieval languages, such as a relational database using SQL commands or MySQL, an ORACLE database, an Access database, etc. The present disclosure does not limit the agricultural database 124 species.

The storage unit 120 can adopt any type of fixed or removable random access memory (Random Access Memory, RAM), read-only memory (Read-Only Memory, ROM), flash memory (flash memory), hard disk (Hard Disk Drive, HDD), Solid State Drive (SSD) or similar components or a combination of the above components are implemented, and the disclosure is not limited thereto.

The processing unit 130 is connected to the communication unit 110 and the storage unit 120, and performs necessary functions of the agricultural data service server 100. In particular, the processing unit 130 reads and runs the agricultural suggestion module 122, and then executes the agricultural data service method according to an embodiment of the disclosure. The method for the processing unit 130 to run the agricultural suggestion module 122 will be described later, and the disclosure is not limited to this. The processing unit 130 can be a central processing unit (Central Processing Unit, CPU), or other programmable general-purpose or special-purpose microprocessors (Microprocessors), digital signal processors (Digital Signal Processors, DSPs), programmable The present disclosure is not limited to the integrated controller, Application Specific Integrated Circuit (ASIC) or other similar components or a combination of the above components.

It should be noted that the number of the communication unit 110, the storage unit 120, the agricultural suggestion module 122, the agricultural database 124, and the processing unit 130 shown in FIG. 1 are all 1. However, in different application environments, Developers can set one or more according to actual needs to achieve the functions provided by the above-mentioned components, and the disclosure is not limited to this.

FIG. 2 shows a flowchart of an agricultural data service method according to an embodiment of the disclosure. The agricultural data service method of this embodiment is at least applicable to the agricultural data service server 100 in FIG. 1. Please refer to FIG. 1 and FIG. 2 at the same time. In this embodiment, the processing unit 130 runs the agricultural advice module 122 to complete each process of the agricultural data service method.

In step S210, the agricultural suggestion module 130 receives the first agricultural land information through the communication unit 110. In the embodiment of the present disclosure, the first farmland information has at least the location of the first farmland and the types of crops cultivated by the user on the first farmland. For example, the location of the first farmland can be recorded and implemented in the form of an address, a global satellite communication address, or a block corresponding to a map map, and the disclosure is not limited to this. In this way, the agricultural suggestion module 130 can find the environmental information of the corresponding farmland location, such as soil quality, air quality, water source quality, etc., on the Internet, reference information, or other possible sources through the farmland location. However, in other embodiments of the present disclosure, the first agricultural land information may also have the environmental information of the first agricultural land, that is, the user can also input the environmental information to the agricultural data service server 100 by way of self-input. in. For example, in this embodiment, the first farmland information is, for example, Tuku Town, Yunlin County, where stalk rice is planted, the seedling date is 2018/8/15, and the area is 0.8 hectares.

The agricultural suggestion module 122 stores the first agricultural land information in the agricultural database 124, so that the first agricultural land information and the corresponding environmental information are part of the reference information.

表一：參考資訊中，梗稻的耕作方式In step S220, the agricultural suggestion module 122 obtains the first farming suggestion according to the data corresponding to the first agricultural land information among the multiple reference information. Specifically, the reference information of this embodiment not only records the received farmland information, but also has various agricultural related knowledge, various crops and corresponding pesticide and fertilizer application recommendations, pesticide application standards set by the government, and fertilizer Suggested usage, soil analysis data, agricultural regulations, the application relationship between weather and pesticides and fertilizers (such as: sunny formula, rainy formula), etc. In an embodiment of the present disclosure, the reference information can be automatically retrieved by the government's public website, open data of various research units, such as the attribute data of the agricultural laboratory, and then stored in the agricultural database 124. In an embodiment of the present disclosure, the reference information has a farming method for stem rice. The farming methods of stalk rice in the reference information are sorted into the table below. However, it should be noted that in addition to stalk rice, there are other crops in the reference information (such as indica rice, corn, lotus mist, jade pouch, black leaf litchi) , Pineapple, green leafy cabbage and other crops) farming methods under different soil conditions, this disclosure is not limited to this.

Table 1: The cultivation methods of stem rice in the reference information

In addition, the reference information can also contain basic knowledge of agricultural technology. For example, the basic knowledge records that the timing of fertilization and the growth stage of plants need to be coordinated. For example, superphosphate and potassium chloride are easily soluble in water and can be applied in phases; excessive application of superphosphate will activate the soil and be harmful to crop growth and development The substance, such as active aluminum and cadmium, is unfavorable to production; excessive potassium fertilizer will cause more plant diseases and insect pests, which will then have an antagonistic effect with calcium, magnesium, boron, etc., causing decay and yellowing of leaf color in severe cases; urea is easy to lose, so it should not be immediately after fertilization Watering... etc. Based on this, the agricultural suggestion module 122 can obtain the reference information corresponding to the first agricultural land information in the agricultural database 124 and generate the first farming suggestion. Not only that, the reference information can also have big data analysis results, which are based on the results of the analysis and comparison of agricultural land information and farming information received by the agricultural advice module 122 and stored in the agricultural database 124, for example, " If the superphosphate is divided into two fertilizations and the fertilization amount is half, the yield will be higher than that of the superphosphate and divided into two fertilizations, and the fertilization amount is each one-third and two-thirds of the total amount.", "If If it rains after the application of superphosphate, the closer the applied fertilizer amount is to the high critical value of the fertilizer application range, the better", "If it rains the next day after the application of superphosphate, the fertilizer application falls within the total fertilizer application range The yield of the first one-third of the crop is better than that of the fertilizer application. The fertilizer application falls within the last two-thirds of the total fertilization interval.” ``The amount applied in Tuku Town, Yunlin County is about one-third of the total fertilizer application. Two or so, the yield is better", "If the fertilizer is applied for the first time 10 days after transplanting, the effect of applying the fertilizer in three times will be better." However, it should be noted that because the analysis of big data will vary depending on the amount of data, the reference information stated in this disclosure is only used to allow readers to understand the cases of the technical means used in this disclosure, and this disclosure is not limited to this. .

In more detail, the agricultural suggestion module 122 judges the corresponding environmental information based on the location of the farmland, and generates the first farming suggestion based on the corresponding environmental information and crop type data in the reference information. Following the foregoing case, the agricultural advice module 122 will obtain the corresponding environmental information according to the environmental information in the first agricultural land information, or according to the agricultural land location in Tuku Town, Yunlin County. In this case, the environmental information is, for example, the soil available phosphorus and soil available potassium are medium and high respectively, and the land area is 0.8 hectares. Based on this, the agricultural advice module 122 will generate 495.5 kg of ammonium sulfate, 236.8 kg of superphosphate, and 26.67 kg of potassium chloride during this tillage period (that is, according to the amount applied in Tuku Town, Yunlin County, the total fertilizer application About two-thirds of the amount of the harvest is better to provide suggestions), and in this fertilization, it is recommended to apply half first, that is, 247.75 kg of ammonium sulfate, 118.4 kg of superphosphate, 13.3 kg of potassium chloride, etc. Suggest.

In addition, if there is no data corresponding to the first agricultural land information in the reference information, the agricultural advice module 122 can also generate the first agricultural advice based on similar environmental information. For example, if the agricultural advice module 122 determines that the environmental information of Houbi Lake in Yunlin County is similar to the environmental information such as soil, location, average sunshine, and average humidity in Tuku Town, Yunlin County, the agricultural advice module 122 will use the reference In the data, corresponding to the data of Houbi Lake in Yunlin County, and then provide corresponding reference information.

In step S230, the agricultural suggestion module 122 receives the newly added instruction of the first farming record corresponding to the first farmland information through the communication unit 110. The first farming record corresponds to the crop farming record on the first farmland information, for example, the amount of fertilizer, the amount of pesticides applied, and the harvest record of the crop. However, this disclosure is not limited to this. Following the case of Tuku Town, Yunlin County, the first farming record is, for example, fertilization of 150 kg of ammonium sulfate, 50 kg of superphosphate, and 30 kg of potassium chloride.

In step S240, the agricultural suggestion module 122 converts the first farming suggestion into the second farming suggestion based on the data corresponding to the first farming record in the reference information and the data corresponding to the first farmland information in the reference information. For example, when it is judged that the date of receiving the first farming proposal has exceeded 10 days after transplanting, it does not meet the reference data of "If the first fertilization is 10 days after transplanting, the effect of fertilizing in three times is better", and the applied phosphoric acid is judged 50 kg of calcium is less than half of the total amount in the tillage period. At this time, the agricultural advice module 122 will divide it into two fertilizations based on "If the superphosphate is divided into two fertilizations and the fertilization amount is half each, the yield will be higher than that of the superphosphate. Apply fertilizer, and the amount of fertilizer applied is one-third and two-thirds of the total amount" and "The amount applied in Tuku Town, Yunlin County is about two-thirds of the total amount of fertilizer. The yield is better." According to the reference information, the original recommendation of 177.6-266.4 kg of superphosphate is adjusted to, and it is recommended to apply at least 68.4 kg of superphosphate within three days. Specifically, for Tuku Town of Yunlin County, the recommended amount of fertilization should fall within two-thirds of the total fertilization (that is, 236.8 kg), and the fertilizer should be divided into two fertilizations. The fertilization is half of the yield (that is, 118.4 kg). ), after deducting the 50 kg that has been fertilized, it is recommended that farmers can further apply 68.4 kg of superphosphate.

It is worth mentioning that in the aforementioned case, the agricultural advice module 122 obtains the cumulative fertilization amount according to the data corresponding to the first agricultural land information in the cultivation record when the first farming record has a fertilization amount record, and then calculates the first farmland information. The farming suggestion is converted to the second farming suggestion, but this disclosure is not limited to this. In other cases disclosed in this disclosure, when the first farming record has a pesticide application amount record, the agricultural suggestion module 122 obtains the cumulative pesticide application amount according to the data corresponding to the first farmland information in the farming record, and then the first farming record It is recommended to switch to the second farming proposal. The cumulative fertilization amount and the cumulative fertilization amount are the cumulative value in a time interval, for example, the cumulative fertilization amount and the cumulative fertilization amount during a tillage period. Since the process of converting the first tillage suggestion into the second tillage suggestion through cumulative application amount and fertilizer application amount is similar, it will not be repeated here. In addition, when the first farming record has a harvest record, the agricultural suggestion module 122 obtains the harvest amount of each of the farming records corresponding to the environmental information and the crop type, and then converts the first farming suggestion into a second farming suggestion. Farming recommendations.

In detail, the agricultural advice module 122 will also determine which of the multiple close areas with similar or the same environmental information but different locations has a better harvest record. That is to say, in the farmland with good harvest record, the farming strategy adopted by the farmer may be better than the farming strategy adopted by others. Therefore, the agricultural advice module 122 will base on the farming record of the farmland with good harvest record, and then compare the first The farming suggestion is converted to the second farming suggestion.

Following the case of Tuku Town in Yunlin County, if the agricultural advice module 122 analyzes and judges that the environmental information around Houbihu in Yunlin County is similar to the environmental information around Tuku Town in Yunlin County, and the Houbihu Town in Yunlin County The yield of the lake area is better than that of Tuku Town, Yunlin County. At this time, the agricultural advice module 122 will further analyze the farming records registered by farmers in the Houbi Lake area of Yunlin County and in the area of Tuku Town, Yunlin County, and obtain the farming records in the area of Houbi Lake in Yunlin County. The farming strategy is "fertilize three times, and the amount of fertilization each time is one-fifth, one-fifth, and three-fifths of the total fertilization" and the farming strategy in Tuku Town, Yunlin County is "in Yun The amount of application in Tuku Town of Linxian County is about two-thirds of the total amount of fertilizer applied. Since the harvest in Houbi Lake in Yunlin County is better, the agricultural suggestion module 122 will adjust the farming suggestion originally suggested to apply 177.6-266.4 kg of superphosphate to a farming suggestion with sufficient fertilization and no fertilization. Specifically, for Tuku Town in Yunlin County, the recommended fertilization amount falls within two-thirds of the total fertilization (ie 236.8 kg), and one-fifth of the total fertilization is used as the fertilization strategy. In addition, if the farming strategies adopted in two different locations are in conflict, the agricultural suggestion module 122 can give different weights or priorities to adjust the farming suggestions it provides.

Or, if the agricultural advice module 122 analyzes and judges that the environmental information around Houbi Lake in Yunlin County is similar to the environmental information around Tuku Town in Yunlin County, and the harvest volume around Houbi Lake in Yunlin County is better than that in Yunlin County Tuku Town. At this time, the agricultural advice module 122 will also analyze that the stalk rice requires superphosphate during the first cropping period, and based on the farming records, the farming strategy in the Houbi Lake area of Yunlin County is "apply pesticides A and B, and A The ratio to B is 2:1", and the farming strategy in Tuku Town, Yunlin County is "application of pesticide C." In addition, the agricultural advice module 122 obtains from the agricultural database 124 that the ingredient of pesticide A is 18% ammonium citrate soluble phosphoric anhydride, the ingredient of pesticide B is 12% ammonium citrate soluble phosphoric anhydride, and the ingredient of pesticide C is ammonium citrate soluble Phosphorus anhydride 18%. Due to the better harvest in Houbi Lake, Yunlin County, the agricultural advice module 122 will convert the original farming advice of pesticide C177.6-266.4 kg into a mixture of pesticide A and pesticide B. The amount of pesticide A is 118.4- 177.6, and the dosage of pesticide B is half of that of pesticide A.

It should be noted that if the agricultural suggestion module 122 further receives an instruction to add a second farming record corresponding to the first farmland information (that is, to add a new farming record), the agricultural suggestion module 122 will further follow the reference information According to the data of the first farming record and the second farming record, and the data of the corresponding first farmland information in the reference information, the second farming suggestion is converted into the third farming suggestion. Since the process of converting the second farming suggestion into the third farming suggestion is similar to the process of converting the first farming suggestion into the second farming suggestion, it will not be repeated here.

FIG. 3 is a schematic diagram of an agricultural data service server according to another embodiment of the disclosure. 3, corresponding to the agricultural data service server 100 of FIG. 1, the agricultural data service server 300 of FIG. 3 has a corresponding communication unit 310, a storage unit 320, an agricultural suggestion module 322, an agricultural database 324, and a processing unit 330 , I won’t repeat it here. However, the difference is that the storage unit 320 in this embodiment further includes a weather capturing module 326, an image recognition module 328, and a learning and training module 329.

The weather capture module 326 is used to capture weather information. In an embodiment of the present disclosure, the agricultural suggestion module 322 adjusts the first farming suggestion and/or the second farming suggestion according to weather information. In detail, the weather information can be the weather of the day, or the weather in the future or in the past. For example, considering that ammonium sulfate, superphosphate, and potassium chloride are easily dissolved in water and lost, if the weather information indicates that it rains this morning, it will clear up in the afternoon, and the agricultural advice module 322 will follow the original first farming advice, namely "In this fertilization, it is recommended to apply half of it first, that is, 247.75 kg of ammonium sulfate, 118.4 kg of superphosphate, and 13.3 kg of potassium chloride." Then it is adjusted to "It is recommended to apply 247.75 kg of ammonium sulfate and 118.4 kg of superphosphate at 1 this afternoon. , 13.3 kg of potassium chloride." If the weather in the next week is rainy, the prerequisites will be based on the weather to determine whether it is suitable for fertilization. If it can match the growth stage and determine that it is rainy, then the agricultural advice module 322 will be based on "Yunlin County Tuku Township The amount of application is about two-thirds of the total amount of fertilization. The yield is better." At the same time, the total amount of fertilization during the tillage period is adjusted to the upper limit of the total amount of fertilization, or the same proportion is based on the estimated total rainfall. Adjustment. If the weather in the past week was rainy, the agricultural suggestion module 322 will increase the suggestion of "In this fertilization, it is recommended to apply half first, that is, 247.75 kg of ammonium sulfate, 118.4 kg of superphosphate, and 13.3 kg of potassium chloride" to supplement Nutrients lost by rain in the past. The foregoing cases are only examples, and this disclosure is not limited to this.

The image recognition module 328 is used to capture and recognize agricultural recognition images, and generate recognition results based on type tags and image feature information. In addition to recognizing images, the image recognition module 328 can also perform optical character recognition, for example, using Microsoft Cognitive Services Vision provided by Microsoft Corporation, or Google Vision API provided by Google. Moreover, when the image recognition module 328 performs image recognition, it can also straighten the agricultural recognition image to increase the accuracy of the recognition. In an embodiment of the present disclosure, the type label may be a type of pesticide, fertilizer, crop, soil, label, etc., to prompt the image recognition module 328 to identify the image feature information. The corresponding identification results are, for example, pesticide identification results, fertilizer identification results, label identification results, crop identification results, or pest identification results.

It is worth mentioning that, in an embodiment of the present disclosure, the image recognition module 328 is operated at the moment when the farming record is received and processed. Specifically, the agricultural suggestion module 322 requires the user to upload corresponding agricultural images (for example, fertilizer photos, crop photos, etc.) at the same time. In this way, the agricultural suggestion module 322 can also further verify whether the pesticides and fertilizers used by the user are legal agricultural fertilizers, and avoid deliberately inputting farming records by the user deliberately, causing the agricultural database 324 to store incorrect information, thereby affecting Go to the farming advice provided by the agricultural advice module 322. Based on this, the process of recognizing images with different types of tags will be described below through multiple embodiments.

If the type label is a pesticide label, the image recognition module 328 will determine that the image recognition feature is a text, a pattern, or a pattern at a specific location and analyze it to output the recognition result, such as text and a stamp. The agricultural advice module 322 determines whether the pesticide corresponding to the pesticide identification result is legal. For example, the agricultural advice module 322 may obtain pesticide information in the agricultural database 324, or the legal pesticide products disclosed by the government on a public website or open database, to determine whether the pesticide is legal. In addition, the agricultural advice module 322 also determines whether the pesticide identification result is consistent with the corresponding pesticide record in the first farming record or the second farming record. If they are consistent, the agricultural advice module 322 records the pesticide identification result in the agricultural database 324.

If the type label is a fertilizer label, the image recognition module 328 will determine that the image recognition feature is a text, a pattern, or a pattern at a specific location and analyze it to output the recognition result, for example, a text and a mark. The agricultural suggestion module 322 obtains the fertilizer information in the agricultural database 324, or the legal fertilizer disclosed by the government on a public website or open database, to determine whether the fertilizer is legal. In addition, the agricultural suggestion module 322 also determines whether the fertilizer identification result is consistent with the corresponding fertilizer record in the first farming record or the second farming record. If they are consistent, the agricultural advice module 322 records the fertilizer identification result in the agricultural database 324. It is worth mentioning that, in an embodiment of the present disclosure, if the agricultural image and identification result correspond to pesticides or fertilizers, the processing unit 330 will also check the agricultural image and identification result to the purchase certificate.

If the type label is a crop or pest identification result, the image identification module 328 will determine that the image identification feature is a pattern, and analyze the pattern to output the identification result. The agricultural suggestion module 322 will further determine whether the identified pattern corresponds to the pattern of the crop in the agricultural database 324 or the pattern of pests and diseases, to confirm whether the identification result of the agricultural identification image is a crop identification result or a pest identification result. If the agricultural advice module 322 determines that the identification result corresponds to the crop identification result or the pest identification result in the agricultural database 324, and is consistent with the record in the corresponding first farming record or the second farming record, store the agricultural identification image And the identification result. In addition, the agricultural advice module 322 also receives the names of the pests and diseases recorded by the user, and stores the names of the pests and the crop map or the pattern of the pests in the agricultural database 324 together.

If the type label is a mark label, the image recognition module 328 will determine that the image recognition feature is a pattern, and analyze the pattern to output the recognition result. If the identification result is a mark, the agricultural advice module 322 further determines whether the identified mark corresponds to the fertilizer or pesticide in the agricultural database 324, and judges the legality of the mark. In addition, the agricultural advice module 322 also determines whether the label identification result corresponds to the production history information. If the label identification result corresponds to the production history information, the agricultural advice module 322 will determine whether the label is consistent with the production history information provided by the government unit on the public website or public database (for example, determine whether the corresponding crop is Whether the harvest dates match).

The learning and training module 329 will perform training based on the agricultural identification image and the identification result to update the reference information. For example, if the pesticide identified by the image recognition module 328 is wrong, the user can report it through the feedback interface provided by the agricultural advice module 322, for example, by clicking the "X" button to report the information. In addition, the user can also feedback the correct information through the feedback interface provided by the agricultural advice module 322. The learning training module 329 will perform learning training according to the results of the user feedback, and store the training results as a learning module. The agricultural suggestion module 322 can use the learning module to further improve the results of judging the corresponding pesticides, fertilizers, labels, crop types, pest types, etc. based on the identification results.

Or, in an embodiment of the present disclosure, the learning training module 329 will learn based on the farming records and update the reference materials. For example, the learning and training module 329 also collects the agricultural identification images taken by the user and the names of the pests and diseases entered by the user, and combines the implementation stage and the current date to learn and calculate. In this way, a better way to handle pests and diseases can be obtained.

In addition, the learning training module 134 will also perform training based on farming records and farmland information to update reference information. In accordance with the foregoing, the learning and training module 134 will also perform data analysis on farming records, farmland information, etc., to obtain corresponding reference information. The learning and training module 329 can be performed by various machine learning methods, for example, supervised learning, clustering learning, and neural network-like (for example, using a convolutional neural network), but the disclosure is not limited to this.

FIG. 4 is a system schematic diagram of an agricultural data service system according to an embodiment of the disclosure. 4, the agricultural data service system 400 has a handheld device 410 and an agricultural data service server 420. The user can interact with the agricultural data service server 420 through the handheld device 410.

In detail, the handheld device 410 has basic computing functions and is a device held by the user. The handheld device 410 is also provided with a display unit (such as a screen) to display various types of information returned from the agricultural data service server 420. The handheld device 410 also has an input unit (such as a physical or virtual keyboard, a touch screen, a voice input, etc.) to input farming information, farmland information, etc., and provide feedback on the content provided by the agricultural data service server 420. The types of the handheld device 410 include, but are not limited to, mobile phones, personal digital assistants, and tablet computers.

In an embodiment of the present disclosure, the agricultural data service server 420 uses at least the agricultural data service server 100 of the embodiment of FIG. 1 or the agricultural data service server 300 of the embodiment of FIG. 3, and therefore, it will not be repeated here. It should be noted that the present disclosure is not limited to the agricultural data service servers 100 and 300 of the foregoing embodiment. Any device that can interact with the handheld device 410 and provide the services of the agricultural data service server 420 of this embodiment can be used. Used in this embodiment.

FIG. 5 shows a flowchart of the operation of the agricultural data service system according to an embodiment of the disclosure. 4 and 5 at the same time, in step S510, the handheld device 410 receives the first farmland information through the input interface.

In step S520, the agricultural data service server 420 receives the first farmland information from the handheld device 410, and generates a first farming suggestion based on the reference information corresponding to the first farmland information.

In step S530, the handheld device 410 receives the first farming suggestion from the agricultural data service server 420, and displays the first farming suggestion on the display unit.

In step S540, the handheld device 410 receives the newly added instruction of receiving the first farming record through the input interface.

In step S550, the agricultural data service server 420 receives the newly added instruction of the first farming record from the handheld device 410, and converts it according to the data corresponding to the first farming record in the reference information and the data corresponding to the first farmland information in the reference information The first farming suggestion is the second farming suggestion.

In step S560, the handheld device 410 receives the second farming suggestion from the agricultural data service server 420, and displays the second farming suggestion on the display unit.

In summary, the agricultural data service server, agricultural data service method, and agricultural data service system provided by this disclosure collect farmland information and farming records, and then provide more accurate farming suggestions through digital methods. In particular, the agricultural data service server, the agricultural data service method, and the agricultural data service system will continuously adjust the farming suggestions on the same farmland based on the farming records, so as to adjust the corresponding farming suggestions according to the farming conditions of the farmland. Not only that, the agricultural data service server, agricultural data service method, and agricultural data service system provided by this disclosure will also analyze and learn through the environmental information of different agricultural land and the records of the same agricultural land at different times and different environmental factors. When the farmland is facing different environmental conditions, the farming suggestions will be adjusted again based on the learning results to provide a more suitable method for the farmland and environmental conditions. In this way, this disclosure can help novice farmers to get started more quickly when applying, and can also assist experienced farmers to adopt more precise farming schemes.

Not only that, the agricultural data service server, agricultural data service method, and agricultural data service system of the present disclosure also provide an agricultural database with field multimedia data, and form the knowledge of the civilian crop fertilization database through the farmer’s farming records. In the long run, it can promote the development of the agricultural environment, and at the same time provide policymakers to compare policies, and then provide a wealth of reference for follow-up policymakers and farmers.

Although the present invention has been disclosed as above by the embodiments, it is not intended to limit the present invention. Any person with ordinary knowledge in the technical field can make some changes and modifications without departing from the spirit and scope of the present invention. The scope of protection of the present invention shall be subject to the scope defined in the appended patent application.

100, 300, 420: Agricultural data service server 110, 310: Communication unit 120, 320: Storage unit 122, 322: Agricultural suggestion module 124, 324: Agricultural database 130: Processing unit 326: Weather capture module 328 : Image recognition module 329: Learning and training module 400: Agricultural data service system 410: Handheld devices S210~S240, S510~S560: Steps

FIG. 1 is a schematic diagram of an agricultural data service server according to an embodiment of the disclosure. FIG. 2 shows a flowchart of an agricultural data service method according to an embodiment of the disclosure. FIG. 3 is a schematic diagram of an agricultural data service server according to another embodiment of the disclosure. FIG. 4 is a schematic diagram of an agricultural data service system according to an embodiment of the disclosure. FIG. 5 shows a flowchart of the operation of the agricultural data service system according to an embodiment of the disclosure.

100: Agricultural Data Service Server

110: Communication unit

120: storage unit

122: Agricultural Advice Module

124: Agricultural Database

130: processing unit

Claims (15)

An agricultural data service server includes: a communication unit that receives multiple farmland information and multiple farming records, wherein the farmland information includes first farmland information; a storage unit that stores multiple modules and an agricultural database, and the The agricultural database includes a plurality of reference information; and a processing unit, coupled to the communication unit and the storage unit, the processing unit executes the modules, and the modules at least include: an agricultural suggestion module based on the reference information The first farming suggestion is generated in the data corresponding to the first farmland information, and the farming suggestion module further generates the first farming suggestion according to the reference information when receiving the new instruction of the first farming record corresponding to the first farmland information through the communication unit The data corresponding to the first farming record and the data corresponding to the first farmland information are converted into the second farming suggestion. For example, in the agricultural data service server described in item 1 of the scope of patent application, the first agricultural land information includes the position of the agricultural land and the type of crop, and the agricultural advice module also judges the corresponding environmental information according to the position of the agricultural land, so as The reference information corresponds to the environmental information and the data of the crop type to generate the first farming suggestion. For example, in the agricultural data service server described in item 2 of the scope of patent application, the first farming record includes at least one of fertilizer application amount record, pesticide application amount record, and harvest record, and the agricultural advice module is still in the first farming record. When the farming record includes the fertilizer application amount record, a cumulative fertilizer application amount is obtained according to the data corresponding to the first farmland information in the farming records, and the agricultural advice module further, when the first farming record includes the fertilizer application amount record, According to the data corresponding to the first farmland information in the farming records, a cumulative pesticide application amount is obtained. When the first farming record includes the harvest record, the agricultural advice module also obtains the farming records corresponding to the environment. Information and the yield of each crop of the crop type, the agricultural suggestion module also converts the first farming suggestion into the reference information and at least one of the cumulative fertilizer application, the cumulative pesticide application, and the harvest The second farming suggestion. For example, in the agricultural data service server described in item 1 of the scope of patent application, the modules further include a weather capture module, and the weather capture module captures weather information, and the agricultural advice module is also based on the The weather information adjusts the first farming suggestion or the second farming suggestion. For example, in the agricultural data service server described in item 1 of the scope of patent application, these modules also include image recognition modules, and the reference information also includes image feature information corresponding to multiple image types, and the image recognition module passes The communication unit receives the agricultural identification image and the type label corresponding to the agricultural identification image, and identifies the agricultural identification image according to the image feature information corresponding to the type label in the reference information to generate an identification result. For example, the agricultural data service server described in item 5 of the scope of patent application, wherein the identification result includes at least one of pesticide identification result, fertilizer identification result, label identification result, crop identification result, pest identification result, and the agricultural suggestion model The group also judges whether the pesticide corresponding to the pesticide identification result is legal when the identification result is the pesticide identification result, and judges whether the pesticide identification result is consistent with the corresponding pesticide record in the first farming record or the second farming record The agricultural advice module also determines whether the fertilizer corresponding to the fertilizer identification result is legal when the identification result is the fertilizer identification result, and determines whether the fertilizer identification result corresponds to the first farming record or the second farming record The fertilizer records in the file are consistent, the image identification module also stores the crop identification result or the pest identification result in the agricultural database when the identification result is the crop identification result or the pest identification result, and the agricultural suggestion model The group also judges whether the mark corresponding to the mark identification result is legal or not when the identification result is the mark identification result, or whether the mark identification result matches a production history information. For example, in the agricultural data service server described in item 5 of the scope of patent application, the modules further include a learning and training module, and the learning and training module is trained according to the agricultural identification image and the identification result to update the For reference information, the learning training module also performs training based on the farming records and the farmland information to update the reference information. An agricultural data service method, comprising: receiving first farmland information; obtaining a first farming suggestion based on data corresponding to the first farmland information in a plurality of reference information; receiving a new instruction for a first farming record corresponding to the first farmland information And based on the data corresponding to the first farming record in the reference information and the data corresponding to the first farmland information in the reference information, converting the first farming suggestion into the second farming suggestion. For example, the agricultural data service method described in item 8 of the scope of patent application, wherein the first farmland information includes farmland location and crop type, and the first farming suggestion is obtained based on the data corresponding to the first farmland information in the reference information The method further includes: judging corresponding environmental information based on the position of the farmland, and generating the first farming suggestion based on the corresponding environmental information and the data of the crop type in the reference information. For example, the agricultural data service method described in item 9 of the scope of patent application, wherein the first farming record includes at least one of fertilizer application amount record, pesticide application amount record, and harvest record, and the first farming suggestion is converted to the second farming suggestion. The farming suggestion also includes: when the first farming record includes the fertilizer application amount record, obtaining a cumulative fertilizer application amount according to the first farmland information in the farming records; when the first farming record includes the fertilizer application amount When recording, obtain a cumulative pesticide application amount based on the farming records corresponding to the first farmland information; when the first farming record includes the harvest record, obtain the farming records corresponding to the environmental information and the crop The harvest amount of each of the types; and based on the reference information and at least one of the cumulative fertilization amount, the cumulative fertilization amount, and the harvest amount, converting the first farming suggestion into the second farming suggestion. For example, the agricultural data service method described in item 8 of the scope of patent application further includes: extracting a piece of weather information, and adjusting the first farming suggestion or the second farming suggestion according to the weather information. For example, in the agricultural data service method described in item 8 of the scope of patent application, the reference information further includes image feature information corresponding to a plurality of image types, and the method further includes: receiving an agricultural identification image and the type of the corresponding agricultural identification image Label; and identify the agricultural identification image based on the image feature information corresponding to the type of label to generate an identification result. For example, the agricultural data service method described in item 12 of the scope of patent application, wherein the identification result includes at least one of pesticide identification result, fertilizer identification result, label identification result, crop identification result, pest identification result, and the method is more Including: when the identification result is the pesticide identification result, judging whether the pesticide identification result is consistent with the corresponding pesticide record in the first farming record or the second farming record; when the identification result is the fertilizer identification result, Determine whether the fertilizer corresponding to the fertilizer identification result is legal, and determine whether the fertilizer identification result is consistent with the corresponding fertilizer record in the first farming record or the second farming record; if the identification result is the crop identification result or the pest When identifying the result, store the crop identification result or the pest identification result in the agricultural database; and when the identification result is the mark identification result, judge whether the mark corresponding to the mark identification result is legal, or judge Whether the identification result of the label matches a production history information. For example, the agricultural data service method described in item 12 of the scope of patent application further includes: training based on the agricultural identification image and the identification result to update the reference information; and training based on the farming records and the farmland information To update the reference information. An agricultural data service system includes: a handheld device, including a display unit, providing an input interface to receive first farmland information and farming records through the input interface; and an agricultural data service server, which is communicatively connected to the handheld device, including A plurality of pieces of reference information, wherein the agricultural data service server receives the first agricultural land information from the handheld device, and generates a first farming suggestion corresponding to the first agricultural land information in the reference information, the agricultural data service server When receiving the new instruction of the first farming record, according to the data corresponding to the first farming record in the reference information and the data corresponding to the first farmland information in the reference information, the first farming suggestion is converted into the first farmland information. Two farming suggestions, wherein the handheld device also receives the first farming suggestion or the second farming suggestion from the agricultural data service server, and displays the first farming suggestion or the second farming suggestion on the display unit.

Images