JP5282215B2 - Music generation device, agricultural and fishery information expression system, traceability system, work start notice system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method for analyzing farm products comprising utilizing remote sensing even for root vegetables to obtain various kinds of information and express the information of analysis result in easily comprehensible mode so as to effectively utilize the information. <P>SOLUTION: The method for analyzing farm products comprises the following process: imaging the ground surface via a satellite 10 or the like to obtain a remote sensing picture image 12 (SA) and reading digital data at sample points P based on the remote sensing picture image 12 (SB); at the same time, sampling soil, farm products and the like at respective sampling points P (SK) to measure/take data at above-ground parts and also data at underground parts (SM) at the sampling points P (SL) respectively; and comparing the remote sensing data with the data at the underground parts and the above-ground parts to analyze them so as to obtain correlation between them (SC, SD). If necessary, the data of the underground parts and the data of the above-ground parts are compared with each other to analyze them so as to obtain correlation between them (SE). <P>COPYRIGHT: (C)2007,JPO&amp;INPIT

Description

The present invention relates to a music generating apparatus, agricultural and fishery industry information expression using vector data such as remote sensing data (for example, raster data such as images observed and photographed by mounting a sensor on a platform such as a satellite or an aircraft) and GIS data. system, traceability system, on the work started prior notice system.

As an analysis method for agricultural products using remote sensing, for example, there is a “plant vitality evaluation method” described in Patent Document 1 below. The purpose of this is to improve the evaluation accuracy when evaluating the vitality of plants by remote sensing using aircraft or satellite.For the evaluation of vitality of target plants such as forest trees, fruit trees, and agricultural crops,
(1) On-site survey to actually measure the spectral characteristics data of the sun's leaves of the target plant in the field, create a database as reference data, and (2) collect the spectral characteristics data by searching the reference data in the database Perform ground truth, process the local data and calculate tree vigor information, etc. (3) Examine the optimal RS data and analysis method from the calculation results, and increase the vitality of plants such as forest trees by remote sensing It is characterized by evaluating. Many other studies have been reported to derive crop yields using vitality or vegetation index obtained from such remote sensing data.

Furthermore, in any method, the obtained analysis results are provided to crop producers, processors, consumers, and the like. For example, it is used by producers as information for predicting harvest time and yield, or the occurrence of disease, etc., and for processors to predict the number of seasonal workers to be secured and the fuel required for processing. It is used as information. Recently, information is also provided to general consumers. From the viewpoint of food safety, the traceability of the production distribution history has been attracting attention, and since there has been anxiety about food safety due to impersonation labeling and BSE for food, Information is provided to consumers.
JP 2002-360070 A

However, the background art described above has the following disadvantages.
(1) Optical sensors mounted on satellites, aircraft, radio controlled helicopters, cranes, tripods, etc. have good ground surface, but cannot directly observe remote sensing data of the underground harvesting part that is hidden behind the cultivation medium such as soil. It is convenient to obtain various types of information for root vegetables that have a harvesting part in the ground.
(2) Next, even if information is provided, considerable knowledge is required to accurately grasp the meaning and content, and information is not always used accurately. For example, there is sugar content as information indicating the degree of sugar contained in agricultural products, but even if the numerical value is shown, it is difficult for an amateur to understand.
(3) Furthermore, the current situation is that information is only provided to the user unilaterally and the user has no right to select information.

The present invention has focused on the above points, and its object is expressed by a form easy to understand the agricultural and fisheries information is to efficiently utilize the information. Another object is to enable the information user to select the necessary information.

In order to achieve the above object, the present invention is a music generating device for generating music based on agricultural and fishery industry information, and a plurality of music phrases prepared in advance, and a music phrase for assigning the music phrase to the agricultural and fishery industry information A music composition unit that obtains music by synthesizing the music phrases assigned by the music phrase assignment unit in a predetermined order, and the agricultural and fisheries industry information is various information related to agricultural products, Both obtained by analyzing at least one of the above ground and underground data obtained at a predetermined sample point, the remote sensing data at the sample point, the above ground and underground data, and the remote sensing data Correlation between the above-mentioned data obtained by analyzing the above-ground data and underground data at the sample point. Correlation, characterized in that it comprises a.

One of the major form is pre SL music phrase, characterized in that the length of one bar about which was composed in accordance with principles of functional harmony. One of the other forms is provided with grouping means for dividing the agricultural and fisheries industry information into predetermined groups, and assigning music phrases to the groups divided by the grouping means by the music phrase assigning means. It is characterized by.

Agricultural industry information representation system according to the present invention, the include any of the music generating device, the music generated by the music generating device, further comprising a reproducing means for reproducing sale site corresponding agricultural products Features. One of the main forms is that the playback means includes information selection means for selecting information to be a music generation target, and the music generation apparatus generates music corresponding to the selected information. It is characterized by that.

Traceability system of the present invention, by the Agricultural and Fisheries information representation system, characterized by representing information about interests of the agricultural products. The work start notifying system of the present invention is a work start notifying system for notifying workers of the start of work in agriculture, and is a sensor means installed in a field, and a measured value of agricultural information detected by the sensor means , said providing a preset value comparison determination unit, the operator generates music when start of operation is determined by the determining means by an operator, to notice the start of the work the The music generating device according to any one of the above is provided. The above and other objects, features and advantages of the present invention will become apparent from the following detailed description and the accompanying drawings.

According to the present invention, since the music of the agricultural and fisheries information, it can be provided in convenient form which to understand information, it is possible to effectively utilize information. In addition, information required by the user can be selected, and flexible interactive information provision can be performed.

  Hereinafter, the best mode for carrying out the present invention will be described in detail based on examples.

  First, Embodiment 1 of the present invention will be described with reference to FIGS. A present Example is an Example of the analysis method of agricultural information thru | or agricultural product information. FIG. 1 shows an analysis procedure. First, the ground surface of farmland is imaged by a satellite 10 or an aircraft, and a remote sensing image (satellite image) 12 is obtained (step SA). Then, digital data at a predetermined sample point P is read from the remote sensing image 12 (step SB). For example, digital data of radiance in B2 (green wavelength band), B4 (near infrared wavelength band), etc. is extracted. On the other hand, in the farmland of the imaging point, an appropriate sample point is determined, and soil, agricultural products, and the like at each sample point P are sampled (step SK). Then, the ground data at the sample point P is measured and collected (step SL), and the underground data is similarly measured and collected (step SM). Measurement / collection means both measurement and / or collection. The above-ground data includes, for example, crop height, SPAD value (chlorophyll amount measured with a chlorophyll meter), and the like. The underground data includes yields by specification and starch value.

  Next, the remote sensing data described above and the ground data are compared and analyzed to obtain a correlation (specifically, a correlation equation) between the two (step SC). In addition, the remote sensing data and the underground data are compared and analyzed, and the correlation between them is obtained (step SD). Furthermore, if necessary, the above-ground data and the underground data are compared and analyzed to obtain a correlation between them (step SE).

  FIG. 2 shows a specific example. The points in the figure indicate the data at the sample points, and the solid line is a graph of the correlation equation. First, FIG. 1A shows an example of a correlation between remote sensing data and ground data. The horizontal axis in the figure is the (SPAD × plant height) value, and the vertical axis is the (B2 / B4) ratio. As shown in the figure, it can be seen that the (B2 / B4) ratio tends to decrease as the (SPAD × plant height) value increases.

  FIG. 2B shows an example of the correlation between remote sensing data and underground data. The horizontal axis in the figure is the (B2 / B4) ratio, and the vertical axis is the yield. As shown in the figure, the yield tends to decrease as the (B2 / B4) ratio increases, but the degree tends to decrease as the (B2 / B4) ratio increases. By using this graph, it becomes possible to predict the crop yield of root vegetables from the (B2 / B4) ratio of the remote sensing data.

  FIG. 3C shows another example of the correlation between remote sensing data and underground data. The horizontal axis in the figure is the B3DN value (digital value of radiance in the red wavelength band), and the vertical axis is the starch value. As shown in the figure, it can be seen that the starch value peaks when the B3DN value is around 180.

  FIG. 4D shows an example of the correlation between the above-ground data and the underground data. In the figure, the horizontal axis is (SPAD x plant height), and the vertical axis is yield. As shown in the figure, it can be seen that the yield tends to increase as the (SPAD × plant height) value increases, and the degree of increase increases as the (SPAD × plant height) value increases.

  FIG. 3 shows the data and correlation (formula) obtained as described above, calculated by substituting them into the digital values of the remote sensing image and visualizing the results. This figure is an example in which a crop growth evaluation map 14 is created from remote sensing data for each field or vegetable garden included in the remote sensing image 12 of FIG. 2 described above. First, data on the (B2 / B4) ratio of each field included in the remote sensing image 12 of FIG. Next, using the correlation between the (B2 / B4) ratio and the yield in FIG. 2 (C) described above, the yield of each field is obtained. When the degree of yield is indicated by hatching, it is as shown in FIG. Thereby, the yield of each field can be expressed visually. Similarly, the soil map 16 in FIG. 3C shows the state of the soil in each field by hatching.

  FIG. 4 shows the correlation actually obtained for the yield of “Makein”, a potato variety. First, FIG. 4 (A) shows the relationship between remote sensing data and ground data, and the (B2 / B4) ratio tends to decrease as the (SPAD × plant height) value increases. FIG. 4B shows the relationship between remote sensing data and underground data, and the yield tends to peak when the (B2 / B4) ratio is around 0.55. FIG. 4C shows the relationship between the above-ground data and the underground data, and the yield increases almost proportionally as the (SPAD × plant height) value increases.

  FIG. 5 shows the correlation actually obtained for the starch value of “Makein”. First, FIG. 5A shows the relationship between the remote sensing data and the data on the ground, and the B3DN value tends to increase as the (SPAD × plant height) value increases. FIG. 5 (B) shows the relationship between the remote sensing data and the underground data, and the starch value tends to peak when the B3DN value is around 180. FIG. 5 (C) shows the relationship between the above-ground data and the underground data. As the SPAD value increases, the starch value tends to increase.

As described above, according to this embodiment,
(1) First, obtain the correlation between the remote sensing data in the field or vegetable garden and the data in the ground.
(2) Next, the correlation between the remote sensing data and the underground data is obtained.
(3) Further, if necessary, the correlation between the above-ground data and the underground data is obtained by using the correlation of (1) and (2).
By using this procedure, not only on the ground but also for root vegetables such as potatoes that produce crops underground, we can obtain good information such as yield using remote sensing data obtained by satellites. be able to.

  Next, Embodiment 2 of the present invention will be described with reference to FIGS. In addition, the same code | symbol shall be used for the component which is the same thru | or corresponding to Example 1 mentioned above. The present embodiment relates to the use of various types of agricultural space information including the information obtained as described above.

For crops, as shown in Fig. 6, remote sensing data, GIS data, weather information, soil information, growth status (eg yield and starch value as described above), cropping history, fertilization history, agricultural chemical application history, landscape photograph, production Related information such as photograph of the person's face, ground observation data collected by sensors, yield / quality data obtained by plowing, market information, ... (hereinafter collectively referred to as "agricultural space information") 20 doing. The agricultural space information 20 is provided to producers 22, consumers 26, and the like. For example,
a. Inform producer 22 of the expected time of occurrence of disease and harvest time.
b. Provide agricultural advice center 24 with advice materials for producers.
c. Provide safety and deliciousness information to consumers 26 and sellers 27.
d. Inform the agricultural association 28 of the information necessary for the collection and shipping plan.
e. The processing plant 30 is provided with information necessary for calculating yield, quality, number of seasonal workers and fuel.
That's it. Thus, the cost can be reduced as a whole by sharing and using the same information by a plurality of users.

  However, if there is agricultural expertise such as the producer 22, the agricultural utilization center 24, the agricultural association 28, etc., the information provided can be understood and used effectively. Since they do not have specialized knowledge, it is highly possible that the information provided cannot be understood and used effectively. On the other hand, recently, as described above, traceability of the production distribution history of agricultural products, so-called traceability, is particularly required from the viewpoint of safety. The present embodiment pays attention to such a point, and is intended to provide easy-to-understand information to consumers who do not have specialized knowledge.

  FIG. 7 shows the configuration of the music generation device of this embodiment. In the figure, a music generation apparatus is configured by connecting a display 102, an input apparatus 104, an output apparatus 106, a data memory 110, and a program memory 120 to an arithmetic processing apparatus 100, and can be configured using a computer. Further, information selection / reproduction devices 134, 144,... Described later are also connected.

  Among these, the arithmetic processing unit 100 includes a CPU, a RAM, and a ROM. The display 102 is configured by a liquid crystal panel or the like. The input device 104 includes a keyboard and a mouse. The output device 106 is configured by a printer, for example. The data memory 110 and the program memory 120 are constituted by hard disks, for example.

  In the data memory 110, agricultural space data 112 and phrase data 114 are prepared, and selection data 115 and synthesized music data 116 are also stored. Among these, the agricultural space data 112 includes, for example, the remote sensing data, measurement / collection data, correlation equation, and the like shown in the first embodiment. Of course, it may be general agricultural space information. An example is shown in FIG. The example in the figure is a collection of SPAD value, plant height, yield, and starch value data for each field. For example, the SPAD value of the field B-3 is “29.36”, the plant height is “106.80”, the yield is “27233.33”, and the starch value is “14.8”. The other fields are as shown in the figure.

  The phrase data 114 is music phrase data for converting the agricultural space data 112 into music. The phrase has a length of about one measure, for example. In this embodiment, the technique of “expression generation method, expression generation apparatus, expression generation system” published as an international publication number WO 03/081572 based on the PCT application is used. According to this, a table of music phrases is prepared. Music phrases are composed according to the principle of functional harmony. For this reason, no matter how the music phrases are arranged, the listener can listen to the music as a unitary piece without any sense of incongruity.

  In the present embodiment, the above-described agricultural space data 112 is grouped as shown in FIG. 9, and phrases are prepared for each group as shown in FIG. First, referring to FIG. 9, the SPAD value is less than “30.15”, the group is 1, the less than “32.75” is the group 2, and the others are the group 3. Similarly, when the plant height is less than “93.96”, it is group 1, when it is less than “113.17”, it is group 2, and when it is higher, it is group 3. Other yields and starch values are also shown. And according to the phrase list | wrist shown in FIG. 10, a corresponding phrase is allocated to each group. For example, the phrase S1a is assigned to the SPAD value group 1, the phrase S2a is assigned to the group 2, and the phrase S3a is assigned to the group 3. Also, the phrase S1b is assigned to the plant length group 1, the phrase S2b is assigned to the group 2, and the phrase S3b is assigned to the group 3. Other yields and starch values are also shown. Such FIG. 9 and FIG. 10 are stored in the data memory 110 as the phrase data 114.

  Next, the selection data 115 is data indicating which data is selected by the shopper from the agricultural space data 112 by the information selection / reproduction devices 134, 144,.

  Next, the information selection / reproduction devices 134, 144,... Described above will be described with reference to FIG. FIG. 11 shows a state of the sales floor, and agricultural products 132 and 142 are stacked on the display stands 130 and 140. Information display / reproduction devices 134 and 144 are provided on the display stands 130 and 140, respectively. The information selection / reproduction device 134 includes selection buttons 135A to 135C for selecting any of the information included in the agricultural space information, a switch 136 for instructing reproduction of music, and a speaker 138. Selection results by the selection buttons 135A to 135C are stored in the data memory 110 as selection data 115. The same applies to the other information selection / reproduction devices 144,. These information selection / reproduction devices 134, 144,... Are connected to the music generation device by appropriate means such as wired or wireless. Of course, various known methods such as a LAN and the Internet may be applied.

Returning to FIG. 7, the program memory 120 includes a grouping program 122, a phrase assignment program 124, and a music composition program 126 that are executed by the arithmetic processing unit 100. Among these, the grouping program 122 is a program for allocating to which group in FIG. 9 the agricultural space data 112 shown in FIG. 8 belongs. For example, the field B-3 is
a, SPAD value: “29.36”, so group 1,
b, plant height: “106.80”, so group 2,
c, Yield: “27233.33”, so group 2,
d, starch value: “14.8”, so group 3,
That's it.

The phrase assignment program 124 is a program that assigns the phrases of FIG. 10 to the groups divided by the grouping program 122. For example, in the case of the field B-3, as shown by hatching in FIG.
a, SPAD value: Since it is group 1, the phrase S1a,
b, Kusanaga: Because it is group 2, phrase S2b,
c, Yield: Since it is Group 2, the phrase S2c,
d, starch value: because it is group 3, phrase S3d,
That's it. In the phrase shown in FIG. 10, the phrase corresponding to the starch value is, for example, a rhythm phrase, and the other phrases are melody phrases.

  The music composition program 126 is a program for synthesizing the phrases assigned by the phrase assignment program 124 into one piece of music. When each phrase is, for example, a MIDI file, they may be combined to generate a single MIDI file, or may be in a format such as a program that sequentially plays back each MIDI file. The synthesized music data 116 is stored in the data memory 110.

Next, the overall operation of this embodiment will be described. It is assumed that the agricultural space data 112 includes data on the fields where the agricultural products 132 and 142 are harvested.
(1) When the shopper does not select information: First, the case where the shopper does not operate the selection buttons of the information selection / reproduction devices 134 and 144 and no information is selected will be described. For example, if the shopper presses the switch 136 of the information selection / reproduction device 134 for the agricultural product 132, the arithmetic processing device 100 first executes the grouping program 122. Thereby, as shown in FIG. 8A, the agricultural space data of the agricultural products 132 is divided into groups shown in FIG. For example, when the agricultural products 132 are harvested in the field B-3, they are grouped as shown in FIG. 8 (B).

  Next, in the processor 100, the phrase assignment program 124 is executed. Thereby, the phrase shown in FIG. 10 is assigned to each group in FIG. For example, phrases S1a, S2b, S2c, and S3d are assigned to the field B-3 as shown by hatching in FIG.

  Next, in the arithmetic processing apparatus 100, a music composition program 126 is executed. Thereby, a music is synthesize | combined based on the allocated phrase. In the case of the field B-3, for example, as shown in FIG. 8C, composition is performed and music is generated. That is, phrases S1a, S2b, and S2c are arranged in order to form a melody, and the rhythm is determined by phrase S3d. The synthesized music data 116 is output to the information selection / reproduction device 134. In the information selection / reproduction device 134, the music data is played and the corresponding music is output from the speaker 138. Similarly, in the case of the agricultural product 142, music is generated based on the agricultural space data 112 of the corresponding field, and the music is played by the information selection / playback device 144.

  (2) When the shopper selects any information: Next, the case where the shopper selects any information by pressing the selection button will be described. For example, it is assumed that “sweetness” can be selected by pressing the selection buttons 135A and 145A of the information selection / reproduction devices 134 and 144, and “texture” can be selected by pressing the selection buttons 135B and 145B. Here, if the shopper presses the selection buttons 135 </ b> A and 145 </ b> A to compare the sweetness of the agricultural products 132 and 142, the selection result is stored as selection data 115 in the data memory 110 through the arithmetic processing unit 100.

  Next, the arithmetic processing unit 100 performs the above-described grouping, phrase allocation, and music composition on the sugar data of the agricultural products 132 and 142 in the agricultural space data 112, and the synthesized music data 116 is obtained. Is stored in the data memory 110. FIG. 12 (A) shows such a situation, which is a melody phrase song of sugar. The music data 116 is output when the switches 136 and 146 of the information selection / reproduction devices 134 and 144 are pressed and reproduced by the speakers 138 and 148, respectively. That is, when the shopper presses the switch 136, the sugar content music of the agricultural product 132 is reproduced, and when the shopper presses the switch 146, the sugar content music of the agricultural product 142 is reproduced.

  On the other hand, if the shopper presses the selection buttons 135A, 135B, 145A, and 145B to compare the sweetness and texture of the agricultural products 132 and 142, the selection result is sent to the data memory 110 through the arithmetic processing unit 100. 115 is stored. The arithmetic processing unit 100 performs the above-described grouping, phrase assignment, and music composition on the sugar content and starch value data of the agricultural products 132 and 142 in the agricultural space data 112, and the synthesized music data 116 is obtained. Is stored in the data memory 110. For example, in the case of potatoes, it is considered that the degree of starch value strongly influences the texture, so-called squeakiness, so the starch value is made to correspond when the texture is selected. The same applies to other information.

  FIG. 12 (B) shows such a situation, which is a music in which a rhythm phrase of starch value is synthesized with a melody phrase of sugar content. The music data 116 is output when the switches 136 and 146 of the information selection / reproduction devices 134 and 144 are pressed and reproduced by the speakers 138 and 148, respectively. That is, when the shopper presses the switch 136, the sugar content + texture music of the agricultural product 132 is played, and when the shopper presses the switch 146, the sugar content + texture music of the agricultural product 142 is played. .

  The shopper can select a product by relying on the music played as described above. For example, the potatoes of this melody are sweet or sweet and have a feeling of tingling, or the mandarin orange has a strong acidity. In addition, you can make delicious dishes as well by purchasing potatoes with the same songs as the potatoes you used for the previous dishes.

  As described above, according to the present embodiment, the agricultural space information is processed and provided as a musical expression to the shopper or the consumer, so even if there is no specialized knowledge about the agricultural product, the agricultural product and the growing situation Etc. can be evaluated. In addition, since the music is generated and provided in response to the information selected by the shopper, that is, the shopper's request, the shopper can judge the quality of the agricultural product based only on the necessary information. In other words, by playing music according to the attributes of agricultural products, it is possible to provide the sensibility fusion type information that can appeal more strongly to the shopper's sensibility than when simply presenting data. In particular, it can be utilized as a traceability system by expressing information on the production distribution history of agricultural products as music.

  Next, Embodiment 3 of the present invention will be described with reference to FIG. Although the embodiment described above shows a case where information is expressed and provided as music to a shopper, the present embodiment is a case where the information is provided to a producer. In FIG. 13, a necessary number of various sensors, for example, a temperature sensor 202, is installed in an agricultural field 200. The detection signals of these temperature sensors 202 are transmitted to the information center 210 by appropriate wireless or wired means.

  The information center 210 includes a data logger 212, a data memory 214, a determination device 220, and a music generation device 222. Among these, the data logger 212 is for recording the data received from the temperature sensor 202 described above as a measured value 216 in the data memory 214. The user memory value 218 is also stored in the data memory 214. The determination device 220 has a function of comparing the measurement value 216 with the user setting value 218 to determine whether or not the measurement value 216 has reached the user setting value 218. The music generation device 222 is a device for generating music in the same manner as in the above-described embodiment.

  The producer 230 has an information terminal such as a computer or a mobile phone that transmits the user setting value 218 to the information center 210 and receives and reproduces music data from the information center 210.

  For example, when the temperature of the farm field 200 reaches a predetermined value or higher, a description will be given assuming that the producer 230 is informed to that effect and the agricultural chemical is sprayed on the farm field 200. First, the producer 230 The temperature value at which the pesticide application is necessary is transmitted to the information center 210. The information center 210 stores the received temperature value in the data memory 214 as the user set value 218.

  On the other hand, the temperature of the farm field 200 is monitored by the temperature sensor 202, and a detection signal is transmitted to the information center 210. In the information center 210, the received temperature data is recorded by the data logger 212 and stored as a measured value 216 in the data memory 214. This measured value 216 is compared with the user set value 218 by the determination device 220. When the measured value 216 becomes larger than the user set value 218, that is, when the temperature of the field 200 becomes higher than the user set temperature, the music generating device 222 generates a music to that effect, and the producer 230 Sent to. The producer 230 listens to it and applies a control operation 240 such as spraying of agricultural chemicals to the field 200. In this case, the music is generated in consideration of other information such as the state of growth of the agricultural product in the field 200 and is provided to the producer 230 so that the state of growth in the field 200 can be grasped more accurately. Furthermore, it can be used for selection of the type of agricultural chemical and the amount of application.

  Thus, according to the present embodiment, the agricultural space information is provided to the producer as music, so that it is possible to evaluate the growth situation and the like without the specialized knowledge about the agricultural products, and the effective agricultural space information. Can be used. In addition, agricultural information is not unilaterally provided to producers, but producers set optimal values according to their own fields and crop conditions and receive information based on them. Can do. The same applies to sellers and processing factories.

In addition, this invention is not limited to the Example mentioned above, A various change can be added in the range which does not deviate from the summary of this invention. For example, the following are also included.
(1) In the above embodiment, the numerical values of the agricultural spatial data represented by numerical values are grouped and the phrases are assigned, but the music may be assigned by other methods. For example, the example shown in FIG. 14A is an example in which phrases are assigned according to the hundreds value of the plant height. When the hundreds value is 0, the phrase is F0a, when the phrase is 1, the phrase is F1a, and when the phrase is 2, the phrase is F2a. Are assigned to each. The example shown in FIG. 14 (B) is an example of assigning a song of an established folk song corresponding to the place of origin. In Hokkaido, Soran clause, Tochigi is Yagi clause, and so on. The example of FIG. 14 (C) is an example in which a song of an established nursery rhyme corresponding to the harvest time is allocated. The example of FIG. 14D is an example in which musical instrument phrases corresponding to the processing place are assigned. In addition, various settings may be made as needed, such as increasing or decreasing the tempo of the song, changing the key, changing the rhythm, changing the genre, and the like.
(2) In the above embodiment, the present invention is applied to vegetables, but it can also be applied to other agricultural products such as fruits. Moreover, it is applicable not only to agricultural products that can be cultivated outdoors but also to agricultural products that are cultivated in facilities such as greenhouses.
(3) In the above embodiment, the music is generated for each field, but the music may be generated for an appropriate target such as each producer, each production area, each agricultural product, or every harvest time.
(4) In the above-described embodiment, an example is shown in which the obtained music data is played at the sales floor of the agricultural product, but the agricultural space data is displayed on the sales floor with numerical values, barcodes, etc., and the music generation apparatus of FIG. Can be input to a mobile phone or a bar code reader in which is stored. Further, a music generation device may be arranged on a server, and a music generated by accessing with a mobile phone or the like through the Internet may be obtained.
(5) In the above-described embodiment, the present invention is applied to agricultural products, but can also be applied to marine products, and can also be applied to various products such as processed products of agricultural and marine products. In addition, it can be applied to not only domestic products but also foreign products.
(6) In the above embodiment, the case where the product is sold in a supermarket or the like is illustrated, but the present invention is also applicable to the case where the product is sold on a homepage on the Internet, for example. In the case of a so-called shopping mall on the Internet, it is impossible to actually take a product, and usually only an image such as a photograph of a product is provided. However, if the present invention is applied and the product information is provided as music, the buyer can know the attributes of the product not only from the product image but also from the music. Convenient. For example, if music that expresses sweetness and texture is played rather than just a picture of potatoes, you can feel closer to what the potatoes look like. Alternatively, in the case of perfume, it is difficult to convey the scent to the buyer side via the Internet, but by expressing the scent as music and transmitting it to the buyer side via the Internet for playback and performance, a large number of perfume It is very convenient when you choose your favorite scent.

According to the present invention, by representing the agricultural and fisheries information as music, it is possible to provide an easy agricultural industry information understandable to the consumer, etc., it is extremely effective in the field of traceability.

It is explanatory drawing which shows the analysis procedure of Example 1 of this invention. 3 is a graph showing an example of a correlation obtained by Example 1. It is explanatory drawing which shows the analysis result of the said Example 1 visually. It is a graph at the time of applying the said Example 1 about a make-in. It is a graph at the time of applying the said Example 1 about a make-in. It is explanatory drawing which shows agricultural space information and its utilization form. It is a block diagram which shows the apparatus structure of Example 2 of this invention. It is explanatory drawing which shows the agricultural space data in the said Example 2, its grouping, and phrase structure. It is explanatory drawing which shows the relationship between agricultural space data and the group in the said Example 2. FIG. It is explanatory drawing which shows the relationship between the group in the said Example 2, and a music phrase. It is explanatory drawing which shows the mode of the music reproduction in a sales floor. It is explanatory drawing which shows the structural example of a music when a shopper selects information. It is explanatory drawing which shows Example 3 of this invention. It is explanatory drawing which shows the example of other correlation of agricultural space information and a phrase.

Explanation of symbols

10: Satellite 12: Remote sensing image (satellite image)
14: Crop growth evaluation map 16: Soil map 20: Agricultural space information 22: Producer 24: Agricultural use center 26: Consumer 27: Seller 28: Agricultural association 30: Processing factory 100: Processing unit 102: Display 104: Input device 106: Output device 110: Data memory 112: Agricultural space data 115: Selection data 114: Phrase data 116: Music data 120: Program memory 122: Grouping program 124: Phrase assignment program 126: Music composition program 130, 140: Display stands 132, 142: Agricultural products 134, 144: Information selection / reproduction devices 135A-135C, 145A-145C: Selection buttons 136, 146: Switches 138, 148: Speaker 200: Farm field 202: Temperature sensor 210: Information center 212: Data logger 214: data memory 216: measurements 218: user value 220: determination unit 222: music generating device 230: Producers 240: pesticides F, S: Phrase P: sample points

Claims (7)

A music generation device that generates music based on agriculture, fisheries and industry information,
A number of pre-prepared music phrases,
Music phrase assigning means for assigning the music phrase to the agricultural and fisheries industry information;
Music composition means for obtaining music by synthesizing the music phrases assigned by the music phrase assignment means in a predetermined order;
With
The agricultural and fisheries industry information is various information on agricultural products,
Above-ground and underground data obtained at a given sample point;
Remote sensing data at the sample point,
And at least one of data of the data of the aerial part and underground, correlation between both obtained by analyzing said remote sensing data,
Correlation between the data obtained by analyzing the above-ground data and underground data at the sample point,
A music generation device comprising:
The music phrase, claim 1 Symbol placement of the music generating device, characterized in that the length of one bar about which was composed in accordance with principles of functional harmony. A grouping means for dividing the agriculture and fisheries industry information into predetermined groups;
The music generating apparatus according to claim 1 or 2 , wherein a music phrase is assigned by the music phrase assigning means to the group divided by the grouping means. Includes a music generating device according to claim 1, characterized in that the music generated by the music generating device, comprising a reproducing means for reproducing sale site corresponding agricultural products Agricultural and fisheries industry information expression system.
Said reproducing means, claim includes information selection means for selecting information to be music generation, the music generating device in response to information selected by this and generates music 4 Agricultural and fishery industry information representation system. Traceability system, characterized in that by the claims 4 or 5 agriculture and fisheries information representation system according to represent information about the history of the agricultural products. A work start notice system for notifying workers of the start of work in agriculture,
Sensor means installed in the field,
A determination means for comparing the measured value of agricultural information detected by the sensor means with a set value preset by the worker;
The music generation device according to any one of claims 1 to 3, wherein a music is generated and provided to the worker when the start of the work is determined by the determination means, and the start of the work is notified in advance .
Work start notice system characterized by having

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