KR20140070242A - Regional crop mapping system and method thereof - Google Patents
Regional crop mapping system and method thereof Download PDFInfo
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- KR20140070242A KR20140070242A KR1020120138499A KR20120138499A KR20140070242A KR 20140070242 A KR20140070242 A KR 20140070242A KR 1020120138499 A KR1020120138499 A KR 1020120138499A KR 20120138499 A KR20120138499 A KR 20120138499A KR 20140070242 A KR20140070242 A KR 20140070242A
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- 238000000034 method Methods 0.000 title claims abstract description 49
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- 239000002689 soil Substances 0.000 claims abstract description 108
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- 238000004364 calculation method Methods 0.000 claims description 5
- 239000005416 organic matter Substances 0.000 claims description 5
- 150000003839 salts Chemical class 0.000 claims description 5
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- 230000001186 cumulative effect Effects 0.000 claims 2
- 238000009825 accumulation Methods 0.000 claims 1
- 235000019600 saltiness Nutrition 0.000 claims 1
- 238000011156 evaluation Methods 0.000 description 11
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- 235000005822 corn Nutrition 0.000 description 1
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
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- A01B39/00—Other machines specially adapted for working soil on which crops are growing
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Abstract
The present invention relates to a regional crop mapping system and method capable of providing optimal cultivation information by linking soil and climate characteristics based on geographical information. The regional crop mapping system according to the present invention includes a map database unit including map information by region; A soil database section containing soil information by region; A climate database section containing climate information by region; A crop database part including information per crop; An input unit for inputting a local condition for a region desired to be cultivated; And an index for calculating an aptitude grade indicating the fitness for cultivation of each crop in the desired region based on the map information for each region, the soil information for each region, and the climate information for each region, .
Description
The present invention relates to a regional crop mapping system and method capable of providing optimal cultivation information by linking soil and climate characteristics based on geographical information.
The number of population for earn farms and rural villages continues to increase. In the first half of 2012, population of earn farms and rural villages peaked at 8,706 households with 17,745 households. However, those who became farmers with their dreams of overflowing have a great difficulty in adapting to unfamiliar agriculture, and the first farming based on scarce information is ending up as a reckless challenge, causing a great deal of damage.
If you are not from the beginning, getting accurate information about the area and selecting the right crops for the land is a hard work that requires a lot of time and effort. In addition, even if the farmer comes from a local area, accurate cropping information is required as well as crop growth information related to the local environment in order to directly cultivate appropriate crops in each region.
As a conventional technique for this purpose, Korean Patent Laid-Open No. 10-2010-0132193 discloses a technique for displaying a cultivation degree of a specific crop according to soil information.
However, the growth of crops is closely related to soil conditions as well as to climate conditions. Therefore, in order to provide accurate information on the growing environment of crops, it is necessary to comprehensively acquire various information such as humidity, illuminance, amount of sunshine and fertility of soil. Climate is a factor that determines drying and wetting in particular and has a big impact on agriculture.
Therefore, it is difficult to predict the productivity of specific crops with only soil information, and the crop information provided is so weak that it could not substantially help. In addition, the lack of regional data and databases has increased the uncertainty about the results, and it has been difficult to directly utilize farmers and their related users in agriculture, because they do not consider climate relations at all.
The present invention provides a regional crop mapping system and method that can provide optimal crop cultivation information for a desired cultivation area by linking both geographical information and soil and climate characteristic information.
Further, the present invention provides a regional mapping system and method for selecting a recommended crop by calculating an aptitude grade for each crop in a desired cultivation area, and providing related information such as the characteristics, management method, and date of the crop.
According to an aspect of the present invention, there is provided a system for mapping a crop for each region, comprising: a map database unit including map information for each region; A soil database section containing soil information by region; A climate database section containing climate information by region; A crop database part including information per crop; An input unit for inputting a local condition for a region desired to be cultivated; And an index for calculating an aptitude grade indicating the fitness for cultivation of each crop in the desired region based on the map information for each region, the soil information for each region, and the climate information for each region, .
The index calculation unit may select a recommended crop satisfying a predetermined recommendation criterion among the crops stored in the crop database unit based on the aptitude grade.
Also, the recommendation criterion may be such that the relative comparison value of the aptitude class is within a predetermined rank.
Also, the recommendation criterion may be such that the adequacy grade is equal to or greater than a predetermined reference value.
Also, the crop-specific information includes at least one cultivating environment element and weight information for each cultivating environment element, and the suitability class includes weight information for the regional soil information corresponding to the cultivating environment element and the regional climate information And the like.
In addition, the cultivating environment factors may include at least one of saturation, drainage grade, slope, gravel content, topography, surface soil exposure, soil acidity, electrical conductivity, salt concentration, effective soil depth, slope, organic matter content, seasonal temperature, An average annual temperature, an average temperature of a growing season, an effective integrated temperature, a precipitation amount, and a precipitation number.
The soil information may include at least one of saturation, drainage grade, slope, gravel content, topography, topsoil exposure, soil acidity, electrical conductivity, salinity, and effective soil depth
In addition, the regional climate information includes seasonal temperature, monthly temperature, quarterly temperature, annual average temperature, growing average temperature, effective integrated temperature, precipitation, precipitation number, average temperature, maximum temperature, minimum temperature, And may include at least one of information on the wind speed, the average humidity, the average vapor pressure, the combination, the average solar irradiance, the fog duration, the total cloud, the sea surface pressure, the minimum superficial temperature,
In addition, the above-mentioned information on the crops includes information on cultivation techniques, utilization techniques, breed information, recommended varieties, fertilization, growth characteristics, plant length, diameter, yield, dry matter density, density, tolerance, , Information on seeding time, seeding time, fertilizer application time, pesticide application time, harvest time and drying time.
In addition, the regional crop mapping system may further include a display unit for displaying the aptitude class.
The regional crop mapping method of the present invention includes a map database unit including regional map information, a soil database unit containing soil information by region, a climate database unit including climate information by region, and a crop database unit including crop information, 1. A mapping method comprising the steps of: a) receiving a local condition for a desired region to be cultivated; b) selecting the region to be cultivated on the basis of the map information according to the region, the soil information according to the region, and the climate information according to the region; c) extracting soil information and climate information for the desired cultivation area among the soil information and the climate information for each region, and d) extracting soil information and climate information for the desired cultivation area based on the soil information, And a step of calculating an aptitude grade indicating the cultivation suitability for each crop.
Also, the crop-specific information includes at least one cultivating environment element and weight information for each cultivating environment element, and the suitability class includes weight information for the regional soil information corresponding to the cultivating environment element and the regional climate information And the like.
In addition, the cultivating environment factors may include at least one of saturation, drainage grade, slope, gravel content, topography, surface soil exposure, soil acidity, electrical conductivity, salt concentration, effective soil depth, slope, organic matter content, seasonal temperature, An average annual temperature, an average temperature of a growing season, an effective integrated temperature, a precipitation amount, and a precipitation number.
The soil information may include at least one of saturation, drainage grade, slope, gravel content, topography, topsoil exposure, soil acidity, electrical conductivity, salt concentration, and effective soil depth.
In addition, the regional climate information includes seasonal temperature, monthly temperature, quarterly temperature, annual average temperature, growing average temperature, effective integrated temperature, precipitation, precipitation number, average temperature, maximum temperature, minimum temperature, And may include at least one of information on the wind speed, the average humidity, the average vapor pressure, the combination, the average solar irradiance, the fog duration, the total cloud, the sea surface pressure, the minimum superficial temperature,
In addition, the above-mentioned information on the crops includes information on cultivation techniques, utilization techniques, breed information, recommended varieties, fertilization, growth characteristics, plant length, diameter, yield, dry matter density, density, tolerance, , Information on the seeding time, seeding time, fertilizer application time, pesticide application time, harvest time, and drying time.
In addition, the regional crop mapping method may further include: e) selecting a recommended crop satisfying a predetermined recommendation criterion among the crops stored in the crop database unit based on the aptitude grade.
Also, the recommendation criterion may be such that the relative comparison value of the aptitude class is within a predetermined rank.
Also, the recommendation criterion may be such that the adequacy grade is equal to or greater than a predetermined reference value.
In addition, the regional crop mapping method may further include: f) providing information on the specific crop when the user selects a specific crop among the recommended crops.
In addition, the method of mapping a region-specific crop may include: g) transmitting information of at least one of seeding time, seeding time, fertilizer application time, pesticide application time, harvest time, And a step of separately notifying the user via the Internet.
The system and method for mapping crops according to the present invention as described above can be applied not only to people who are currently engaged in agriculture but also to people who first come into contact with agriculture based on various and rich statistical data such as land, .
In addition, the system and method for mapping crops according to the present invention can select a recommended crop by calculating a suitability grade for each crop, and provide related information such as characteristics, management method, and date of the crop.
1 is a configuration diagram of a crop mapping system according to an embodiment of the present invention.
2 is a region setting screen using map information of a crop mapping system according to an embodiment of the present invention.
3 is a location search screen using map information of a crop mapping system according to an embodiment of the present invention.
4 is a flowchart of a crop mapping method according to an embodiment of the present invention.
Hereinafter, the present invention will be described in detail with reference to the accompanying drawings and embodiments.
1 is a configuration diagram of a crop mapping system according to an embodiment of the present invention.
1, the
The
The
2 and 3 are a region setting screen and a location search screen using map information of a crop mapping system according to an embodiment of the present invention.
As shown in FIG. 2 and FIG. 3, the
The soil database part (12) is a statistical numerical data obtained by collecting soil information by region based on the data collected over many years, and the soil information items for the land use mapping system according to the embodiment of the present invention include soil, drainage grade, Content, topography, topsoil exposure, soil acidity, electrical conductivity, salt concentration, and effective soil depth.
Soil of the area to be surveyed can be collected for collecting soil information by region. The collected soil can be divided into topsoil and subsoil, and the collected samples can be analyzed after air drying. In this case, soil and plant analysis method (Agricultural Science and Technology Institute, 2000) can be used as the analysis method. [Table 1] is one embodiment of the soil analysis method, and [Table 2] is an example of the result obtained by the analysis method of [Table 1].
The climate database unit (13) is a statistical numerical data obtained by collecting regional climate information based on the data collected over many years. The climate information item for the regional map for the crop mapping system according to the embodiment of the present invention includes seasonal temperature, Average precipitation, number of precipitation days, average temperature, maximum temperature, minimum temperature, duration of precipitation, small evaporation rate, average wind speed, average humidity, average vapor pressure, daytime combination, average solar radiation, Fog duration, fog cloud, barometric pressure, minimum vertical temperature, ground temperature, and ground temperature.
[Table 3] relates to the 30-year average climate change value. As an example of regional climate information, 30-year average data (1961-1990, 1971-2000, 1981-2000) such as [Table 3] can be used. On the other hand, regional climate information may include information on soil temperature and climatic information, as well as information on soil climate maps based on relational information, in addition to the information in [Table 3].
The crop database part (14) is a collection of information on various crops distributed not only in domestic but also in the world, and includes crop characteristics, growth characteristics, cultivating and utilization techniques, recommended cultivars, And the like.
[Table 4] shows the growth characteristics and productivity of corn.
The
In addition, the crop-specific information may include weighting information according to cultivation environment factors and cultivation environment factors. The cultivation environment factors may be soil information and climate information that affect the growth characteristics and productivity of each crop. The weight information is applied to quantify the effect of the cultivation environment factors on the crop.
[Table 5] is an example of the bar evaluation score table applying the weight information according to the soil information, and [Table 6] is an example of the bar evaluation score table using the weight information according to the climate information.
As shown in [Table 5] and [Table 6], it is possible to apply weight information by specifying a certain score value in the classified items classified as irrelevant, disadvantageous, possible, and suitable for each cultivation environment factor. In this case, the number of classification items and the score value assigned to each item can be applied differently from the example. The evaluation score is calculated by summing the values obtained by applying the weight information to each cultivation environmental factor.
The weight information value may be calculated differently depending on the correlation between the growth environment factors and the crop growth characteristics and the productivity, and the weight information value is proportional to the influence of each cultivation environment factor on the growth characteristics and productivity of the crop . Each element of the cultivation environment can be divided into a number of items depending on the degree of cultivation.
In this case, the highest score of the item is preferably set to 1, and each weight information value may be calculated for each item. The weighted information is applied to the points of each item, and the sum of the scores of the cultivation environment elements is the evaluation score. In this case, it is preferable that the sum of the weight information is set to be 100, and the maximum score of the evaluation score is 100 points.
Therefore, the score can be used to establish a criterion to determine whether the region is suitable for the crop. For example, if the score is more than 70 points, it can be shown as a small spot, if the score is between 40 or more and 70 points or less, and if it is less than 40 points, it can be represented as an inappropriate spot. Of course it is possible.
Based on the information of the
When a user inputs a local condition for a region desired to be cultivated in the
When the region desired to be cultivated is selected, soil information and climate information of the cultivated area are extracted from the
The evaluation score of each cultivation environment factor is calculated based on the weight information according to the soil information and the climate information matched with the cultivation environment factor of the information per crop and the evaluation score of each cultivation environment factor, And an aptitude class that can indicate the suitability of star cultivation can be calculated.
For example, the aptitude level can be calculated based on the sum of the evaluation score based on soil information and the evaluation score based on climate information, and the peak of the combined evaluation score is 200 points. An example of specifying an aptitude rating is 1 grade for a score of 200 points or less to 150 points or more, 2 points for a score of less than 150 points to 100 points or more, or 3 points for a score of less than 100 points to 50 points or more. Grades, and so on.
The
4 is a flowchart of a crop mapping method according to an embodiment of the present invention.
As shown in FIG. 4, the crop mapping method according to the present invention includes a step S1 of inputting a local condition for a region to be cultivated, a step S2 selecting a region desired to be cultivated in accordance with the local condition, (S4) of extracting the soil information and the climate information of the crop of the desired crop area (S4), selecting a recommended crop satisfying the recommendation criteria (S5) (S6) of informing the user of the specific crop information and S7 separately notifying the user of the specific crop information via mail or SMS.
In step (S1) of inputting the local condition for the desired cultivation area, the user can input the desired cultivation area. The user can directly input the address of the region desired to be cultivated or input the lot number, and it is also possible to directly select the region by viewing the map displayed on the screen. In addition, the user may input not only the desired area but also the specific condition (local condition) of the area desired to be cultivated. The local conditions are Saturn, drainage grade, slope, gravel content, topography, surface soil exposure, soil acidity, electrical conductivity, salinity, effective soil temperature, seasonal temperature, monthly temperature, quarterly temperature, average annual temperature, Temperature, precipitation, number of precipitation days, and the like.
In the step S2 of selecting a region desired to be cultivated in accordance with the local conditions, map information for each region of the
In the step S3 of extracting the soil information and the climate information of the desired area to be cultivated, the soil information of the soil data of the
At this time, the user may arbitrarily input soil information and climate information values of the selected desired cultivation area. For example, it is possible to directly input or select the soil and climatic information such as whether artificial drainage, the method of using forage, the soil acidity of the area, the climatic characteristics, the soil characteristics, etc., If the regional climate information differs from the user's input value, it can be based on the user's input value.
If the user does not have or does not know the soil information, climate information and related data for the desired cultivation area, the user may skip to the next step. In this case, regional soil information and regional climate information of the
In the step S4 of calculating the aptitude level of each crop in the desired region to be cultivated, based on the information inputted by the user, the soil information, climate information, and crop information of the desired cultivation area are synthesized, Calculate the grade.
Wherein the crop-specific information includes at least one cultivation environmental element and weight information for each cultivating environment element, and the aptitude level for each crop is determined based on the soil information corresponding to the cultivation environment element and the weight information to the regional climate information .
The environmental factors of the cultivation are environmental factors such as saturation, drainage grade, slope, gravel content, topography, surface soil rock exposure, soil acidity, electrical conductivity, salinity, effective soil depth, slope, organic matter content, seasonal temperature, , A growing average temperature, an effective integrated temperature, a precipitation, and a precipitation number.
In the step S5 of selecting a recommended crop that satisfies the recommendation criteria, a crop recommended in the crop database stored in the
The predetermined recommendation criterion may be such that a relative comparison value of the aptitude class is within a predetermined rank. For example, when the predetermined ranking is set to the top five, the top five crops can be selected as the recommended crops by comparing the aptitude classes by crops.
The predetermined recommendation criterion may be a preset reference value or more. For example, when the highest point of the combined evaluation score is 200 points, the recommended crop can be selected as a crop having an aptitude grade of 150 points or more with a combined reference score of 150 points.
At this time, the
In step S6 of providing information on a specific crop selected by the user, the user can provide information on the specific crop by selecting a specific crop among the recommended crops. Information on the specific crops includes information on the growth characteristics of crops, how to grow them, fertilizer information, correlation with climate, correlation with soil, additionally cultivable crops, seeding time, fertilizer feeding time, And other related information.
In step S7 of notifying the specific crop information separately via mail or SMS of the user, the user may desire the seeding time, seeding time, fertilizer application time, pesticide application time, harvest time and drying time for the specific crop Each action can be notified separately via user's mail or SMS.
One embodiment of the invention described above and shown in the drawings should not be construed as limiting the technical idea of the present invention. The scope of protection of the present invention is limited only by the matters described in the claims, and those skilled in the art will be able to modify the technical idea of the present invention in various forms. Accordingly, such improvements and modifications will fall within the scope of the present invention as long as they are obvious to those skilled in the art.
1: Regional crop mapping system 10: Database part
11: map database part 12: soil database part
13: Climate database part 14: Crop database part
20: input unit 30: display unit
40: Index Acquisition Government
Claims (21)
A soil database section containing soil information by region;
A climate database section containing climate information by region;
A crop database part including information per crop;
An input unit for inputting a local condition for a region desired to be cultivated; And
An index calculation unit for calculating an aptitude level indicating fitness for cultivation of each crop in the desired region based on the map information for the region, the soil information for each region, and the climate information for each region, Include regional crop mapping systems.
Wherein the index calculation unit selects a recommended crop satisfying a predetermined recommendation criterion among the crops stored in the crop database unit based on the aptitude grade.
Wherein the recommendation criterion is that a relative comparison value of the aptitude class is within a predetermined rank.
Wherein the recommendation criterion is that the suitability grade is equal to or greater than a preset reference value.
Wherein the crop information includes at least one cultivation environment element and weight information for each cultivation environment element, wherein the aptitude grade is obtained by applying the weight information to the regional soil information and the regional climate information corresponding to the cultivation environment element And a region-specific crop mapping system.
The environmental factors of the cultivation are environmental factors such as saturation, drainage grade, slope, gravel content, topography, surface soil rock exposure, soil acidity, electrical conductivity, salinity, effective soil depth, slope, organic matter content, seasonal temperature, , A growing season average temperature, an effective integrated temperature, a precipitation amount, and a precipitation day number.
Wherein the regional soil information includes at least one of information on the soil, the drainage grade, the slope, the gravel content, the topography, the topsoil rock exposure, the soil acidity, the electric conductivity, the saltiness,
The regional climate information includes the seasonal temperature, the monthly temperature, the quarterly temperature, the annual average temperature, the average temperature of the growing season, the effective cumulative temperature, the precipitation, the number of precipitation days, the average temperature, the maximum temperature, Wherein the information includes at least one of an average humidity, an average vapor pressure, a combination, an average solar irradiance, a fog duration, a total cloud, a sea surface pressure, a minimum superficial temperature, a ground temperature and an underground temperature.
The above information on the crops includes information on the cultivation techniques, utilization techniques, breed information, recommended varieties, fertilization, growth characteristics, plant length, diameter, yield, density, density, tolerance, tolerance, vegetation density, Wherein the information includes at least one of a time, a seeding time, a fertilizer application time, a pesticide application time, a harvest time, and a drying time.
Further comprising a display unit for displaying the aptitude rank.
a) receiving a local condition for a desired cultivation area;
b) selecting the desired region to be cultivated on the basis of the map information according to the region, the soil information according to the region and the climate information according to the region, based on the information corresponding to the local condition;
c) extracting soil information and climatic information for the desired cultivation area from the soil information for each region and the climate information for each region; And
and d) calculating an aptitude grade indicating fitness for cultivation of each crop according to the soil information, the climate information, and the crop specific information.
Wherein the crop information includes at least one cultivation environment element and weight information for each cultivation environment element, wherein the aptitude grade is obtained by applying the weight information to the regional soil information and the regional climate information corresponding to the cultivation environment element A method for mapping a crop according to a region.
The environmental factors of the cultivation are environmental factors such as saturation, drainage grade, slope, gravel content, topography, surface soil rock exposure, soil acidity, electrical conductivity, salinity, effective soil depth, slope, organic matter content, seasonal temperature, , A growing season average temperature, an effective accumulation temperature, a precipitation amount, and a precipitation day number.
Wherein the regional soil information includes at least one of information on the soil, drainage grade, slope, gravel content, topography, topsoil exposure, soil acidity, electrical conductivity, salt concentration, .
The regional climate information includes the seasonal temperature, the monthly temperature, the quarterly temperature, the annual average temperature, the average temperature of the growing season, the effective cumulative temperature, the precipitation, the number of precipitation days, the average temperature, the maximum temperature, Wherein the information includes at least one of an average humidity, an average vapor pressure, a combination, an average solar irradiance, a fog duration, a total cloud, a sea surface pressure, a minimum superficial temperature, a ground temperature, and an underground temperature.
The above information on the crops includes information on the cultivation techniques, utilization techniques, breed information, recommended varieties, fertilization, growth characteristics, plant length, diameter, yield, density, density, tolerance, tolerance, vegetation density, Wherein the information includes at least one of a time, a seeding time, a fertilizer application time, a pesticide application time, a harvest time, and a drying time.
e) selecting a recommended crop satisfying a predetermined recommendation criterion among the crops stored in the crop database unit based on the aptitude grade.
Wherein the recommendation criterion is that a relative comparison value of the aptitude rank is within a predetermined rank.
Wherein the recommendation criterion is that the adequacy grade is equal to or greater than a preset reference value.
f) providing information on the specific crop when the user selects a specific crop among the recommended crops.
g) informing the user of at least one of at least one of seeding time, seeding time, fertilizer application time, pesticide application time, harvest time and drying time for the specific crop through the user's mail or SMS Wherein the method comprises the steps of:
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| CN112927060A (en) * | 2021-04-23 | 2021-06-08 | 土流集团有限公司 | Land flow stable safe transaction system and method |
| KR102338084B1 (en) | 2021-03-22 | 2021-12-13 | 주식회사 스누아이랩 | Apparatus for Monitoring Crop and Driving Method Thereof |
| CN113947495A (en) * | 2020-07-17 | 2022-01-18 | 云南天质弘耕科技有限公司 | Crop planting management method and system |
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