Intelligent monitoring system and method for mountain land resources

Abstract

The invention discloses a mountainous area land resource intelligent supervision system and method. The method comprises the following steps: acquiring a real-time map of a target mountainous area in a supervision time period; based on the real-time map of the target mountainous area in the supervision time period, obtaining planting information of each mountainous area plot in the supervision time period; obtaining land resource benefits of the target mountainous area in the supervision time period based on the planting information of each mountainous area plot of the target mountainous area in the supervision time period; and when the land resource benefit in the supervision time period is smaller than a preset benefit, obtaining a planting strategy of the target mountainous area in the next supervision time period based on the attribute information of each mountainous area plot. The technical problem of poor mountain land resource supervision effect in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of mountain land resource management, and in particular to an intelligent supervision system and method for mountain land resources. Background Art

[0002] Land resources refer to the sum total of the land surface and its attached natural elements (such as soil, terrain, vegetation, hydrology, etc.) that can be utilized by humans and generate value under certain technical, economic, and social conditions. Land resources have the comprehensive characteristics of natural attributes, economic attributes, and social attributes.

[0003] Compared with the land resources in plain areas, mountain land resources are characterized by being scattered, having a small available area per single plot, low utilization rate, low product value, and complex land ownership, resulting in great difficulty in supervising mountain land resources. In the prior art, mountain land resources are generally supervised manually. However, this method has high labor costs and low efficiency in the process of mountain land resource management, and it is difficult to comprehensively manage mountain land resources.

[0004] It can be seen that the poor management effect of the manual supervision method in the process of supervising mountain land resources is a technical problem that urgently needs to be solved at present. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent supervision system and method for mountain land resources, which solves the technical problem of poor supervision effect of mountain land resources in the prior art.

[0006] In the first aspect of the present invention, an intelligent supervision method for mountain land resources is provided. The supervision method:

[0007] Obtain the actual situation map of the target mountain area during the supervision period;

[0008] Based on the actual situation map of the target mountain area during the supervision period, obtain the planting information of each mountain plot during the supervision period;

[0009] Based on the planting information of each mountain plot of the target mountain area during the supervision period, obtain the land resource benefit of the target mountain area during the supervision period;

[0010] When the land resource benefit during the supervision period is less than the preset benefit, based on the attribute information of each mountain plot, obtain the planting strategy of the target mountain area in the next supervision period.

[0011] Further, based on the actual situation map of the target mountain area during the supervision period, obtaining the planting information of each mountain plot during the supervision period includes:

[0012] At the beginning of the supervision period, mark multiple mountain plots and the planting range of each mountain plot in the actual situation map of the target mountain area;

[0013] After the start of the supervision period, based on the actual situation map of the target mountainous area during the supervision period and the planting range of each mountainous area plot, obtain the plot maps of each mountainous area plot at multiple supervision times during the supervision period;

[0014] At the end of the supervision period, based on the plot maps of the mountainous area plots at multiple supervision times during the supervision period, obtain the planting information of the mountainous area plots during the supervision period; the planting information includes several crops, as well as the yield, farming operation data, and planting working hours of each crop.

[0015] Furthermore, based on the actual situation map of the target mountainous area during the supervision period and the planting range of each mountainous area plot, obtaining the plot maps of each mountainous area plot at multiple supervision times during the supervision period includes:

[0016] SS1: Obtain the current crops within the planting range of the mountainous area plot at the start of the supervision period, and the growth stage of the current crops;

[0017] SS2: Based on the growth stage of the current crops, obtain multiple supervision times corresponding to the mountainous area plot;

[0018] SS3: Take screenshots of the planting range of the mountainous area plot in the actual situation map at each supervision time to obtain the plot map corresponding to the mountainous area plot;

[0019] SS4: After the end point of the harvest of the current crops, set multiple supervision times at a preset frequency, and obtain the plot map of the mountainous area plot at each supervision time and perform image recognition;

[0020] SS5: After identifying the next crop through the plot map, obtain multiple supervision times according to the growth attributes of the next crop, and obtain the plot map of the mountainous area plot at each supervision time;

[0021] SS6: Repeat steps SS4 - SS5 until the end of the supervision period.

[0022] Furthermore, according to the growth attributes of the next crop, obtaining multiple supervision times and obtaining the plot map of the mountainous area plot at each supervision time includes:

[0023] After identifying the crops in the plot map at the current supervision time, obtain the actual growth data at the current supervision time;

[0024] Based on the actual growth data at the current supervision time, adjust the next supervision time according to the actual growth data.

[0025] Furthermore, based on the plot maps of the mountainous area plots at multiple supervision times during the supervision period, obtaining the planting information of the mountainous area plots during the supervision period includes:

[0026] Identify based on the plot map before crop harvest to obtain the yield characteristic information corresponding to the crops;

[0027] Based on the yield characteristic information, obtain the yield of the crops;

[0028] Identify the plot maps of mountainous plots at each monitoring moment during the monitoring period to obtain the farming tool information and planting personnel information in each plot map;

[0029] Based on the farming tool information in multiple plot maps, obtain the farming operation data;

[0030] Based on the planting personnel information and farming operation data in multiple plot maps, obtain the planting working hours.

[0031] Further, based on the planting information of each mountainous plot in the target mountain area during the monitoring period, obtain the land resource benefits of the target mountain area during the monitoring period, including:

[0032] Based on the yield of each crop in each mountainous plot, obtain the gross profit of each crop;

[0033] Based on the planting working hours of each crop in each mountainous plot, obtain the labor cost corresponding to each crop;

[0034] Based on the planting area and farming operation data of each crop in each mountainous plot, obtain the material cost of each crop;

[0035] Based on the gross profit, labor cost, and material cost of the same crop, obtain the benefit of the crop;

[0036] Based on the benefits of each crop in the target mountain area during the monitoring period, confirm the land resource benefits of the target mountain area during the monitoring period.

[0037] Further, the attribute information includes altitude, soil pH, soil type data, climate conditions, and the planting ability of the plot owner; based on the attribute information of each mountainous plot, obtain the planting strategy of the target mountain area in the next monitoring period, including:

[0038] Based on the attribute information of the mountainous plot, confirm the information of several cultivable crops for the mountainous plot; the cultivable crop information includes several cultivable crops, the planting period of each cultivable crop, and the estimated unit yield;

[0039] Based on the several cultivable crops of each mountainous plot and the planting period of each cultivable crop, obtain several alternative strategies; each alternative strategy includes the crops to be planted corresponding to each mountainous plot;

[0040] Screen several candidate strategies based on preset screening conditions to obtain the planting strategy for the target mountainous area in the next supervision period.

[0041] Further, obtaining the planting strategy for the target mountainous area in the next supervision period based on the attribute information of each mountainous area plot further includes:

[0042] Based on several cultivable crops in each mountainous area plot, obtain several groups of associated crops; in each group of associated crops: the by-products generated during the planting process of one cultivable crop are used as materials for another cultivable crop;

[0043] Based on the cultivable crop information of each mountainous area plot and several groups of associated crops, confirm the supply relationship between the mountainous area plots where the associated crops are planted in the candidate strategies;

[0044] Based on the supply relationship between the mountainous area plots where the associated crops are planted in the candidate strategies, confirm the supply cost between the two mountainous area plots where the associated crops are planted.

[0045] Further, the preset constraint conditions include:

[0046] The types of crops planted in each mountainous area plot during the supervision period are less than the corresponding preset types;

[0047] And the expected benefits of the crops planted in each mountainous area plot during the supervision period are not less than the corresponding preset benefits;

[0048] And the supply cost between any two mountainous area plots where associated crops are planted is not higher than the corresponding preset material cost.

[0049] On the other hand, the present invention provides an intelligent supervision system for mountainous land resources, which executes the intelligent supervision system and method for mountainous land resources. The system includes:

[0050] A data acquisition module, which is used to obtain the actual situation map of the target mountainous area during the supervision period;

[0051] A data processing module, which is used to obtain the planting information of each mountainous area plot during the supervision period based on the actual situation map of the target mountainous area during the supervision period;

[0052] A benefit supervision module, which is used to obtain the land resource benefits of the target mountainous area during the supervision period based on the planting information of each mountainous area plot of the target mountainous area during the supervision period;

[0053] A strategy generation module, which is used to obtain the planting strategy for the target mountainous area in the next supervision period based on the attribute information of each mountainous area plot when the land resource benefits during the supervision period are less than the preset benefits.

[0054] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0055] In the present invention, through the actual situation map of the target mountainous area during the supervision period, the planting information of each mountainous area plot during the supervision period is analyzed; so as to obtain the land resource benefit of each mountainous area plot, and further obtain the land resource benefit of the target mountainous area; when the land resource benefit during the supervision period is less than the preset benefit, the planting strategy is obtained in a timely manner according to the attribute information of each mountainous area plot, so as to reasonably plan each mountainous area plot and improve the land resource benefit of the target mountainous area in the next supervision period. It solves the technical problem of poor supervision effect of mountain land resources in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 It is a method step diagram of an intelligent supervision method for mountain land resources of the present invention.

[0057] Figure 2 It is a system structure diagram of an intelligent supervision system for mountain land resources of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0058] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall fall within the scope of protection of the present application.

[0059] In the first aspect of this embodiment, as Figure 1 shown, an intelligent supervision method for mountain land resources, the supervision method:

[0060] S1: Obtain the actual situation map of the target mountainous area during the supervision period;

[0061] In this embodiment, the actual situation map includes a GIS three-dimensional map and a map constructed based on drone aerial photography pictures. In this embodiment, the duration of the supervision period is 1 year.

[0062] S2: Based on the actual situation map of the target mountainous area during the supervision period, obtain the planting information of each mountainous area plot during the supervision period;

[0063] In this embodiment, the target mountainous area includes several mountainous area plots, and the planting information of each mountainous area plot is obtained by analyzing the actual situation map during the supervision period; in this embodiment, the planting information includes several crops, as well as the yield, farming operation data, and planting working hours of each crop.

[0064] S3: Based on the planting information of each mountain plot in the target mountain area during the supervision period, obtain the land resource benefit of the target mountain area during the supervision period;

[0065] In this embodiment, the land resource benefit of the target mountain area includes the sum of the land resource benefits of each mountain plot.

[0066] S4: When the land resource benefit during the supervision period is less than the preset benefit, based on the attribute information of each mountain plot, obtain the planting strategy of the target mountain area in the next supervision period.

[0067] In this embodiment, the land resources of the target mountain area are supervised as a whole through the land resource benefit of the target mountain area. When the land resource benefit is less than the preset benefit, a new planting strategy is formulated to improve the land resource benefit of the target mountain area in the next supervision period.

[0068] The specific implementation process of this embodiment includes:

[0069] In this embodiment, through the live map of the target mountain area during the supervision period, analyze the planting information of each mountain plot during the supervision period; so as to obtain the land resource benefit of each mountain plot, and further obtain the land resource benefit of the target mountain area; when the land resource benefit during the supervision period is less than the preset benefit, timely obtain the planting strategy according to the attribute information of each mountain plot, so as to reasonably plan each mountain plot and improve the land resource benefit of the target mountain area in the next supervision period. It solves the technical problem of poor supervision effect of mountain land resources in the prior art.

[0070] In this embodiment, based on the live map of the target mountain area during the supervision period, obtain the planting information of each mountain plot during the supervision period, including:

[0071] S21: At the beginning of the supervision period, mark multiple mountain plots and the planting range of each mountain plot in the live map of the target mountain area;

[0072] In this embodiment, at the live map corresponding to the beginning of the supervision period, mark and number the mountain plots, and when delimiting the planting range of each mountain plot, confirm the coordinates of several boundary points, and in the subsequent process, confirm the planting range of the mountain plot according to the coordinates of several boundary points. In this embodiment, mark and delimit the planting range of the mountain plot together with the land parcel owner to avoid ownership disputes.

[0073] Since the boundaries of mountain plots will be blocked by the growth of crops and surrounding plants, it is not easy to identify and observe in the live map, and the mountain plots can be quickly obtained in the live map according to the boundary point coordinates.

[0074] S22: After the start of the supervision period, based on the actual situation map of the target mountainous area during the supervision period and the planting ranges of each mountainous area plot, obtain the plot maps of each mountainous area plot at multiple supervision times during the supervision period;

[0075] In this embodiment, after the start of the supervision period, the actual situation map of the target mountainous area is updated regularly. For each mountainous area plot, after the start of the supervision period, obtain the plot map based on the updated actual situation map at multiple supervision times, so as to facilitate timely analysis of the growth situation and farming operation situation of the crops in the mountainous area plots during the supervision period.

[0076] S23: At the end of the supervision period, based on the plot maps of the mountainous area plots at multiple supervision times during the supervision period, obtain the planting information of the mountainous area plots during the supervision period; the planting information includes several crops, as well as the yield, farming operation data, and planting working hours of each crop.

[0077] In this embodiment, the farming operation data includes plowing, spraying pesticides, fertilizing, and mulching, etc. During the farming operation process, in addition to labor, agricultural materials are also consumed; in calculating the land resource benefits of mountainous area plots, the cost of agricultural materials must be considered. The specific steps include:

[0078] Based on the plot map before crop harvesting for identification, obtain the yield characteristic information corresponding to the crops; in this embodiment, each crop is provided with corresponding yield characteristic information; the yield characteristic information includes the number of plants, plant height, ear length, fruit size, and the number of fruits, etc.

[0079] Based on the yield characteristic information, obtain the yield of the crops;

[0080] In this embodiment, according to the yield characteristic information and the corresponding preset estimation method, obtain the yield of the crops. Among them, the preset estimation method is obtained through big data statistics.

[0081] For example, wheat yield = number of ears per unit area × ear length × number of ears per unit length × 1000-grain weight

[0082] Identify the plot maps of the mountainous area plots at each supervision time during the supervision period, and obtain the farming tool information and planting personnel information in each plot map;

[0083] Based on the farming tool information in multiple plot maps, obtain the farming operation data;

[0084] In this embodiment, according to the farming tool information, obtain several farming operations and the number of times of each farming operation; for example, when the farming tool is a rotary tiller, the farming operation is rotary tiller plowing.

[0085] Based on the planting personnel information and farming operation data in multiple plot maps, obtain the planting working hours.

[0086] The information of the planting personnel includes the number of planting personnel; according to the number of planting personnel, farming operations, and planting area in each plot map, the planting duration corresponding to each farming operation is obtained; based on the planting corresponding to multiple farming operations, the planting man-hours consumed for planting this crop are obtained.

[0087] In this embodiment, based on the live map of the target mountainous area during the supervision period and the planting range of each mountainous area plot, the plot maps of each mountainous area plot at multiple supervision times during the supervision period are obtained, including:

[0088] SS1: Obtain the current crop within the planting range of the mountainous area plot at the start of the supervision period, and the growth stage of the current crop;

[0089] SS2: Based on the growth stage of the current crop, obtain multiple supervision times corresponding to the mountainous area plot;

[0090] Different crops have different growth characteristics. At different growth stages of the same crop, its growth rate is different, and the frequency of farming operations by planting personnel is also different; in order to reduce the number of plot maps and avoid obtaining unnecessary plot maps, multiple supervision times are set correspondingly according to the growth stage of the current crop.

[0091] SS3: Take a screenshot of the planting range of the mountainous area plot in the live map at each supervision time to obtain the plot map corresponding to the mountainous area plot;

[0092] In this embodiment, based on the planting range of the mountainous area plot, a screenshot of the live map of the target mountainous area is taken, and the plot maps of the same mountainous area plot are arranged and saved in chronological order.

[0093] SS4: After the end point of the current crop harvest, set multiple supervision times at a preset frequency, and obtain the plot map of the mountainous area plot at each supervision time and perform image recognition;

[0094] In this embodiment, at least one crop is planted in the mountainous area plot during the supervision period.

[0095] SS5: After identifying the next crop through the plot map, obtain multiple supervision times according to the growth attributes of the next crop, and obtain the plot map of the mountainous area plot at each supervision time;

[0096] In this embodiment, after identifying the crop in the plot map of the current supervision time, the actual growth data of the current supervision time is obtained; in this embodiment, the actual growth data includes crop size data and color data.

[0097] Based on the actual growth data at the current supervision moment, the next supervision moment is adjusted according to the actual growth data. In this embodiment, the next supervision moment is confirmed according to the actual growth data through big data statistics.

[0098] SS6: Repeat steps SS4 - SS5 until the end of the supervision period.

[0099] In this embodiment, based on the planting information of each mountain plot in the target mountain area during the supervision period, the land resource benefit of the target mountain area during the supervision period is obtained, including:

[0100] Based on the yield of each type of crop in each mountain plot, the gross profit of each type of crop is obtained;

[0101] In this embodiment, according to the yield of the crop and the current market value, the gross profit of the crop is confirmed.

[0102] Based on the planting working hours of each type of crop in each mountain plot, the labor cost corresponding to each type of crop is obtained;

[0103] In this embodiment, according to the labor price in the area where the target mountain area is located, the unit price of working hours is obtained; according to the unit price of working hours and the planting working hours, the labor cost corresponding to the crop is obtained.

[0104] Based on the planting range and farming operation data of each type of crop in each mountain plot, the material cost of each type of crop is obtained;

[0105] In this embodiment, the unit area cost of each farming operation is obtained through big data; according to the unit area material cost of a farming operation, the number of farming operations, and the planting range of the crop, the material cost of this farming operation is obtained; according to the material costs of several farming operations during the growth process of the same type of crop, the total material cost of this type of crop is obtained.

[0106] Based on the gross profit, labor cost, and material cost of the same crop, the benefit of the crop is obtained;

[0107] Based on the benefits of each crop in the target mountain area during the supervision period, the land resource benefit of the target mountain area during the supervision period is confirmed.

[0108] In this embodiment, the attribute information includes altitude, soil pH value, soil type data, climate conditions, and the planting ability of the plot owner; based on the attribute information of each mountain plot, the planting strategy of the target mountain area in the next supervision period is obtained, including:

[0109] S41: Based on the attribute information of the mountain plot, several cultivable crop information of the mountain plot is confirmed; the cultivable crop information includes several cultivable crops, the planting period of each cultivable crop, and the estimated unit yield;

[0110] S42: Based on several cultivable crops in each mountainous plot and the planting periods of each cultivable crop, obtain several candidate strategies; each candidate strategy includes the crops to be planted corresponding to each mountainous plot.

[0111] In this embodiment, according to several cultivable crops in each mountainous plot and the planting periods of each cultivable crop, obtain several crop planting combinations of each mountainous plot during the supervision period, and there is no overlapping period between the planting periods of the crops in each crop planting combination. Arrange and combine the several crop planting combinations of each mountainous plot to obtain several candidate strategies for the target mountainous area.

[0112] S43: Based on preset screening conditions, screen several candidate strategies to obtain the planting strategy of the target mountainous area in the next supervision period.

[0113] In this embodiment, several groups of associated crops are also obtained based on several cultivable crops in each mountainous plot; in each group of associated crops: the by-products generated during the planting process of one cultivable crop are used as materials for another cultivable crop; for example, the rice and wheat straw can be recycled and used for moisture retention and weed suppression in vegetable fields.

[0114] Based on the cultivable crop information of each mountainous plot and several groups of associated crops, confirm the supply relationship between the mountainous plots where the associated crops are planted in the candidate strategies.

[0115] According to the area and estimated unit yield of the mountainous plots where the associated crops are planted, confirm the demand or output of by-products corresponding to each mountainous plot; in this embodiment, the supply relationship includes the supply quantity of by-products supplied from one mountainous plot to another mountainous plot.

[0116] Based on the supply relationship between the mountainous plots where the associated crops are planted in the candidate strategies, confirm the supply cost between the two mountainous plots where the associated crops are planted.

[0117] In this embodiment, the supply cost includes manual handling cost and transportation cost. According to the supply quantity of by-products, obtain the manual handling cost and transportation tools through big data analysis; according to the transportation tools and supply quantity, obtain the number of transportation times; according to the transportation tools, the number of transportation times, the road distance and height difference between the two mountainous plots, obtain the transportation cost.

[0118] In this embodiment, the preset constraint conditions include: the types of crops planted in each mountainous plot during the supervision period are less than the corresponding preset types; and the expected benefits of the crops planted in each mountainous plot during the supervision period are not less than the corresponding preset benefits; and the supply cost between any two mountainous plots where the associated crops are planted is not higher than the corresponding preset material cost.

[0119] On the other hand, the present invention provides an intelligent supervision system for mountain land resources, which implements an intelligent supervision system and method for mountain land resources. The system includes:

[0120] A data acquisition module, which is used to obtain the actual situation map of the target mountain area during the supervision period;

[0121] A data processing module, which is used to obtain the planting information of each mountain land parcel in the supervision period based on the actual situation map of the target mountain area during the supervision period;

[0122] A benefit supervision module, which is used to obtain the land resource benefit of the target mountain area in the supervision period based on the planting information of each mountain land parcel in the target mountain area during the supervision period;

[0123] A strategy generation module, which is used to obtain the planting strategy of the target mountain area in the next supervision period based on the attribute information of each mountain land parcel when the land resource benefit in the supervision period is less than the preset benefit.

[0124] The specific implementation process of this embodiment includes:

[0125] In this embodiment, through the actual situation map of the target mountain area during the supervision period, the planting information of each mountain land parcel in the supervision period is analyzed; so as to obtain the land resource benefit of each mountain land parcel, and further obtain the land resource benefit of the target mountain area; when the land resource benefit in the supervision period is less than the preset benefit, the planting strategy is obtained in a timely manner according to the attribute information of each mountain land parcel, so as to reasonably plan each mountain land parcel and improve the land resource benefit of the target mountain area in the next supervision period. This solves the technical problem of poor supervision effect of mountain land resources in the prior art.

[0126] It should be noted that in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprises", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0127] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent supervision method for mountain land resources, characterized in that: The said supervision method: Obtain the actual situation map of the target mountainous area during the supervision period; Based on the actual situation map of the target mountainous area during the supervision period, obtain the planting information of each mountainous area plot during the supervision period; Based on the planting information of each mountainous area plot of the target mountainous area during the supervision period, obtain the land resource benefit of the target mountainous area during the supervision period; When the land resource benefit during the supervision period is less than the preset benefit, based on the attribute information of each mountainous area plot, obtain the planting strategy of the target mountainous area in the next supervision period.

2. The intelligent supervision method for mountain land resources according to claim 1, characterized in that: Based on the actual situation map of the target mountainous area during the supervision period, obtain the planting information of each mountainous area plot during the supervision period, including: At the beginning of the supervision period, mark multiple mountainous area plots and the planting range of each mountainous area plot in the actual situation map of the target mountainous area; After the supervision period starts, based on the actual situation map of the target mountainous area during the supervision period and the planting range of each mountainous area plot, obtain the plot maps of each mountainous area plot at multiple supervision moments during the supervision period; At the end of the supervision period, based on the plot maps of the mountainous area plot at multiple supervision moments during the supervision period, obtain the planting information of the mountainous area plot during the supervision period; the planting information includes several crops, as well as the yield, farming operation data, and planting working hours of each crop.

3. The intelligent supervision method for mountain land resources according to claim 2, characterized in that: Based on the actual situation map of the target mountainous area during the supervision period and the planting range of each mountainous area plot, obtain the plot maps of each mountainous area plot at multiple supervision moments during the supervision period, including: SS1: Obtain the current crop within the planting range of the mountainous area plot at the start of the supervision period, and the growth stage of the current crop; SS2: Based on the growth stage of the current crop, obtain multiple supervision moments corresponding to the mountainous area plot; SS3: Take screenshots of the planting range of the mountainous area plot in the actual situation map at each supervision moment to obtain the plot map corresponding to the mountainous area plot; SS4: After the end point of the current crop harvest, set multiple supervision moments at a preset frequency, and obtain the plot map of the mountainous area plot and perform image recognition at each supervision moment; SS5: After identifying the next crop through the plot map, according to the growth attributes of the next crop, obtain multiple supervision moments, and obtain the plot map of the mountainous area plot at each supervision moment; SS6: Repeat steps SS4 - SS5 until the end of the supervision period.

4. The intelligent supervision method for mountain land resources according to claim 3, characterized in that: According to the growth attributes of the next crop, obtain multiple supervision moments, and obtain the plot map of the mountainous area plot at each supervision moment, including: After identifying the crop in the plot map at the current supervision moment, obtain the actual growth data at the current supervision moment; Based on the actual growth data at the current supervision moment, adjust the next supervision moment according to the actual growth data.

5. The intelligent supervision method for mountain land resources according to claim 4, wherein: Based on the plot maps of the mountainous area plot at multiple supervision moments during the supervision period, obtain the planting information of the mountainous area plot during the supervision period, including: Based on the recognition of the plot map before the crop harvest, obtain the yield characteristic information corresponding to the crop; Based on the yield characteristic information, obtain the yield of the crop; Identify the farming tool information and planting personnel information in each plot map of the mountainous area plot at each supervision moment during the supervision period; Based on the farming tool information in multiple plot maps, obtain the farming operation data; Obtain the planting working hours based on the planter information and farming operation data in multiple plot maps.

6. The intelligent supervision method for mountain land resources according to claim 2, characterized in that: Based on the planting information of each mountainous area plot in the target mountainous area during the supervision period, obtain the land resource benefits of the target mountainous area during the supervision period, including: Obtain the gross profit of each type of crop based on the yield of each type of crop in each mountainous area plot; Obtain the labor cost corresponding to each type of crop based on the planting working hours of each type of crop in each mountainous area plot; Obtain the material cost of each type of crop based on the planting range and farming operation data of each type of crop in each mountainous area plot; Obtain the benefits of the crop based on the gross profit, labor cost, and material cost of the same crop; Based on the benefits of each crop in the target mountainous area during the supervision period, confirm the land resource benefits of the target mountainous area during the supervision period.

7. The intelligent supervision method for mountain land resources according to claim 1, wherein: The attribute information includes altitude, soil pH, soil type data, climate conditions, and the planting ability of the plot owner; Based on the attribute information of each mountainous area plot, obtain the planting strategy of the target mountainous area in the next supervision period, including: Based on the attribute information of the mountainous area plot, confirm several plantable crop information of the mountainous area plot; the plantable crop information includes several plantable crops, the planting period of each plantable crop, and the estimated unit yield; Based on several plantable crops of each mountainous area plot and the planting period of each plantable crop, obtain several candidate strategies; each candidate strategy includes the crops planted corresponding to each mountainous area plot; Based on the preset screening conditions, screen several candidate strategies to obtain the planting strategy of the target mountainous area in the next supervision period.

8. The intelligent supervision method for mountain land resources according to claim 7, characterized in that: Based on the attribute information of each mountainous area plot, obtaining the planting strategy of the target mountainous area in the next supervision period further includes: Based on several plantable crops of each mountainous area plot, obtain several groups of associated crops; in each group of associated crops: the by-products generated during the planting process of one plantable crop are used as materials for another plantable crop; Based on the plantable crop information of each mountainous area plot and several groups of associated crops, confirm the supply relationship between the mountainous area plots that plant associated crops in the candidate strategies; Based on the supply relationship between the mountainous area plots that plant associated crops in the candidate strategies, confirm the supply cost between the two mountainous area plots that plant associated crops.

9. The intelligent supervision method for mountain land resources according to claim 8, wherein: The preset constraint conditions include: The type of crops planted in each mountainous area plot during the supervision period is less than the corresponding preset type; And the expected benefits of the crops planted in each mountainous area plot during the supervision period are not less than the corresponding preset benefits; And the supply cost between any two mountainous area plots that plant associated crops is not higher than the corresponding preset material cost.

10. An intelligent supervision system for mountain land resources, which implements the intelligent supervision system and method for mountain land resources described in any one of claims 1-9, characterized in that: The system includes: A data collection module, which is used to obtain the live map of the target mountainous area during the supervision period; A data processing module, which is used to obtain the planting information of each mountainous area plot during the supervision period based on the live map of the target mountainous area during the supervision period; A benefit supervision module, which is used to obtain the land resource benefits of the target mountainous area during the supervision period based on the planting information of each mountainous area plot in the target mountainous area during the supervision period; A policy generation module, which is used to obtain the planting policy of the target mountain area in the next supervision period based on the attribute information of each mountain area plot when the land resource benefit in the supervision period is less than the preset benefit.

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