CN117397541A - Cost-saving and efficiency-improving land comprehensive planting and raising method - Google Patents
Cost-saving and efficiency-improving land comprehensive planting and raising method Download PDFInfo
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- CN117397541A CN117397541A CN202311208585.1A CN202311208585A CN117397541A CN 117397541 A CN117397541 A CN 117397541A CN 202311208585 A CN202311208585 A CN 202311208585A CN 117397541 A CN117397541 A CN 117397541A
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- 238000000034 method Methods 0.000 title claims abstract description 26
- 235000010469 Glycine max Nutrition 0.000 claims abstract description 51
- 244000068988 Glycine max Species 0.000 claims abstract description 51
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 36
- 238000003973 irrigation Methods 0.000 claims abstract description 28
- 230000002262 irrigation Effects 0.000 claims abstract description 28
- 238000009331 sowing Methods 0.000 claims abstract description 19
- 239000003337 fertilizer Substances 0.000 claims abstract description 18
- 241000607479 Yersinia pestis Species 0.000 claims abstract description 13
- 238000009395 breeding Methods 0.000 claims abstract description 13
- 230000001488 breeding effect Effects 0.000 claims abstract description 12
- 150000003839 salts Chemical class 0.000 claims abstract description 6
- 230000037303 wrinkles Effects 0.000 claims abstract description 6
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 claims description 30
- 239000002689 soil Substances 0.000 claims description 21
- 238000005406 washing Methods 0.000 claims description 21
- 239000012153 distilled water Substances 0.000 claims description 15
- ULGZDMOVFRHVEP-RWJQBGPGSA-N Erythromycin Chemical compound O([C@@H]1[C@@H](C)C(=O)O[C@@H]([C@@]([C@H](O)[C@@H](C)C(=O)[C@H](C)C[C@@](C)(O)[C@H](O[C@H]2[C@@H]([C@H](C[C@@H](C)O2)N(C)C)O)[C@H]1C)(C)O)CC)[C@H]1C[C@@](C)(OC)[C@@H](O)[C@H](C)O1 ULGZDMOVFRHVEP-RWJQBGPGSA-N 0.000 claims description 10
- 241000589180 Rhizobium Species 0.000 claims description 7
- 238000004821 distillation Methods 0.000 claims description 5
- 229960003276 erythromycin Drugs 0.000 claims description 5
- 238000013135 deep learning Methods 0.000 claims description 4
- 238000001035 drying Methods 0.000 claims description 4
- 230000004720 fertilization Effects 0.000 claims description 4
- 238000003756 stirring Methods 0.000 claims description 4
- 241000589174 Bradyrhizobium japonicum Species 0.000 claims description 2
- 239000007864 aqueous solution Substances 0.000 claims description 2
- 230000000694 effects Effects 0.000 claims 2
- 230000002708 enhancing effect Effects 0.000 claims 2
- 238000011010 flushing procedure Methods 0.000 claims 2
- 239000000243 solution Substances 0.000 description 6
- 230000000052 comparative effect Effects 0.000 description 4
- 244000144972 livestock Species 0.000 description 4
- 238000005507 spraying Methods 0.000 description 4
- 230000001502 supplementing effect Effects 0.000 description 3
- PWVXXGRKLHYWKM-UHFFFAOYSA-N 5-[2-(benzenesulfonyl)ethyl]-3-[(1-methylpyrrolidin-2-yl)methyl]-1h-indole Chemical compound CN1CCCC1CC(C1=C2)=CNC1=CC=C2CCS(=O)(=O)C1=CC=CC=C1 PWVXXGRKLHYWKM-UHFFFAOYSA-N 0.000 description 2
- 241000283690 Bos taurus Species 0.000 description 2
- 239000005906 Imidacloprid Substances 0.000 description 2
- 241001494479 Pecora Species 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 210000003608 fece Anatomy 0.000 description 2
- 238000000855 fermentation Methods 0.000 description 2
- 230000004151 fermentation Effects 0.000 description 2
- YWTYJOPNNQFBPC-UHFFFAOYSA-N imidacloprid Chemical compound [O-][N+](=O)\N=C1/NCCN1CC1=CC=C(Cl)N=C1 YWTYJOPNNQFBPC-UHFFFAOYSA-N 0.000 description 2
- 229940056881 imidacloprid Drugs 0.000 description 2
- 239000010871 livestock manure Substances 0.000 description 2
- 230000017074 necrotic cell death Effects 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 239000010902 straw Substances 0.000 description 2
- 230000017260 vegetative to reproductive phase transition of meristem Effects 0.000 description 2
- IBSREHMXUMOFBB-JFUDTMANSA-N 5u8924t11h Chemical compound O1[C@@H](C)[C@H](O)[C@@H](OC)C[C@@H]1O[C@@H]1[C@@H](OC)C[C@H](O[C@@H]2C(=C/C[C@@H]3C[C@@H](C[C@@]4(O3)C=C[C@H](C)[C@@H](C(C)C)O4)OC(=O)[C@@H]3C=C(C)[C@@H](O)[C@H]4OC\C([C@@]34O)=C/C=C/[C@@H]2C)/C)O[C@H]1C.C1=C[C@H](C)[C@@H]([C@@H](C)CC)O[C@]11O[C@H](C\C=C(C)\[C@@H](O[C@@H]2O[C@@H](C)[C@H](O[C@@H]3O[C@@H](C)[C@H](O)[C@@H](OC)C3)[C@@H](OC)C2)[C@@H](C)\C=C\C=C/2[C@]3([C@H](C(=O)O4)C=C(C)[C@@H](O)[C@H]3OC\2)O)C[C@H]4C1 IBSREHMXUMOFBB-JFUDTMANSA-N 0.000 description 1
- 239000005660 Abamectin Substances 0.000 description 1
- 229950008167 abamectin Drugs 0.000 description 1
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- 238000003306 harvesting Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003895 organic fertilizer Substances 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000009333 weeding Methods 0.000 description 1
Classifications
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
- A01G22/00—Cultivation of specific crops or plants not otherwise provided for
- A01G22/40—Fabaceae, e.g. beans or peas
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C1/00—Apparatus, or methods of use thereof, for testing or treating seed, roots, or the like, prior to sowing or planting
-
- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C1/00—Apparatus, or methods of use thereof, for testing or treating seed, roots, or the like, prior to sowing or planting
- A01C1/06—Coating or dressing seed
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
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- Life Sciences & Earth Sciences (AREA)
- Environmental Sciences (AREA)
- Soil Sciences (AREA)
- Engineering & Computer Science (AREA)
- Botany (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Pretreatment Of Seeds And Plants (AREA)
Abstract
The invention discloses a land comprehensive planting and raising method capable of saving cost and improving efficiency, which comprises the following steps: step one: preparing land: selecting a land suitable for soybean planting, wherein the PH is 6.0-6.5, and the total salt content of the land is not higher than 0.35%; step two: and (3) breeding: selecting soybeans with full grains and no wrinkles, and treating the seeds after the breeding is completed; step three: sowing: mechanical sowing is adopted, the planting distance is 13-21cm, the row distance is 40-50cm, and 3-4 seeds are sown in each hole; step four: and (3) field management: a water and fertilizer integrated irrigation device is arranged in the field, and the field-planted soybeans are irrigated and fertilized by the device; step five: and (3) field self-treatment: the intelligent irrigation system is characterized in that an image device, a temperature and humidity sensor and a pest catcher are arranged in the field, a central processing system is arranged outside, water and fertilizer integrated irrigation equipment works, intelligent irrigation is carried out on the field, and economic benefits, social benefits and ecological benefits of each mu are improved.
Description
Technical Field
The invention relates to the technical field of land planting and raising, in particular to a cost-saving and efficiency-improving land comprehensive planting and raising method.
Background
Comprehensive planting and raising are ecological agriculture modes, so that recycling of resources is realized, stability of an ecological system is improved, income of farmers is increased, and cost saving and efficiency improvement are realized.
Through searching, the invention patent with the Chinese patent number of CN115474522A discloses a soybean planting method, which comprises the following steps: seed treatment, soil preparation, ridging mode, sowing mode and growth management, wherein the growth management comprises the following steps: checking and supplementing the seedlings after the seedlings emerge, ensuring the full seedlings, and removing pimple seedlings in time to realize full seedlings and strong seedlings, and supplementing seeds or transplanting buds when supplementing the seedlings; immediately carrying out intertillage weeding after thinning, and carrying out intertillage for 3-4 times at least in the whole growth period, wherein the intertillage is carried out in a mode of shallow to deep and shallow along with the growth condition of root systems; spraying chlormequat chloride solution when 4-6 leaves exist in soybean, spraying chlormequat chloride solution once in the early flowering period, and spraying imidacloprid once about twenty days after emergence of seedlings; spraying abamectin and imidacloprid twice from flowering to pod bearing and between the drum grains;
compared with the prior art, the planting method of the Chinese patent No. CN115474522A is easy to implement, has no complex operation, has high application and popularization value, can improve the yield of soybeans, remarkably improves the economic benefit of planting, can improve the quality of soybeans, and is beneficial to the healthy development of soybean industry.
However, in practical use, the method lacks of mechanized cultivation in the field and real-time acquisition of temperature and humidity in the field, so that water and fertilizer irrigation consumes manpower, and meanwhile, accurate irrigation is difficult, and the phenomenon of too high planting cost is caused, so that a cost-saving and efficiency-improving land comprehensive planting and breeding method is needed.
Disclosure of Invention
The invention aims to solve the defects that the prior art lacks of mechanical cultivation in the field and real-time acquisition of temperature and humidity in the field, so that water and fertilizer irrigation consumes manpower, and meanwhile, accurate irrigation is difficult, and the phenomenon of too high planting cost is caused.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the comprehensive land planting and raising method with cost saving and efficiency increasing comprises the following steps:
step one: preparing land: selecting a land suitable for soybean planting, wherein the PH is 6.0-6.5, and the total salt content of the land is not higher than 0.35%;
step two: and (3) breeding: selecting soybeans with full grains and no wrinkles, and treating the seeds after the breeding is completed;
step three: sowing: mechanical sowing is adopted, the planting distance is 13-21cm, the row distance is 40-50cm, and 3-4 seeds are sown in each hole;
step four: and (3) field management: a water and fertilizer integrated irrigation device is arranged in the field, and the field-planted soybeans are irrigated and fertilized by the device;
step five: and (3) field self-treatment: an image device, a temperature and humidity sensor and a pest catcher are arranged in the field, a central processing system is arranged outside the field, and data acquired by the sensor are transmitted to the central processing system for identification and processing
The technical scheme further comprises the following steps:
the treatment method of the cultivated seeds is as follows:
firstly, putting selected seeds into enough distilled water for washing;
secondly, washing the seeds washed by distilled water easily in and out by ethanol;
thirdly, washing the seeds washed by ethanol by distilled water again;
fourth, the washed seeds are placed into 0.018% erythromycin aqueous solution and soaked for 15-17 hours at 35 ℃.
The time of the two distillation washes is 5-8min, and the time of the ethanol wash is 10-12min.
Before sowing, the rhizobium sojae is wrapped on the surface of soybean seeds, and the specific method is as follows:
the first step: rhizobium sojae and clear water are mixed according to the following ratio of 1: preparing the soybean paste according to the proportion of (0.5-0.8), and then placing the soybean into the paste for fully stirring;
and secondly, drying the planting of the packed rhizobium japonicum under natural conditions, thereby obtaining the soybean seeds for cultivation.
The image device arranged in the field is a plurality of cmos cameras, the distance between each cmos camera is 10-15m, the cmos automatically collects images in the field in real time, and the collected images are transmitted to the central processing system for identification and analysis.
The central processing system stores the non-dynamic pictures in the received images for 3 days, and stores the dynamic pictures in real time for 30 days.
The temperature and humidity sensors are distributed in an array mode, the distance between every two sensors is 5-7m, the humidity of 30cm below the soil is collected in real time, and meanwhile the temperature of 30cm below the soil, 10cm below the soil, the temperature of the soil surface and the temperature of 15cm above the soil are collected in real time.
The temperature and humidity data are transmitted to a central processing system in real time, the data in the past of the area are collected through the central processing system, the correlations among the temperature, the humidity, the planting density, the yield, the irrigation data and the fertilization data are fused, deep learning is carried out, a field planting model is built, the received temperature and humidity data are judged through the model, the data produced by the model are transmitted to a water and fertilizer integrated irrigation device, and intelligent irrigation is carried out on fields.
The central processing unit recognizes the collected images, gives an alarm when pests appear, and transmits the region distributed by the pests to the manager.
The invention has the following beneficial effects:
1. according to the invention, soybeans are pretreated before planting, so that the necrosis rate of the soybeans is reduced, and mechanical sowing is adopted, so that the cost of raw materials for early planting is effectively reduced, meanwhile, residual straws after soybean collection are crushed by a crusher and are supplied to livestock such as cattle and sheep according to the ratio, and manure generated by livestock is returned to farmlands to be used as organic fertilizer after fermentation treatment, so that the quality of the soybeans and the yield per mu are improved, the use of fertilizer is reduced, and the economic benefit, the social benefit and the ecological benefit of each mu are improved.
2. According to the invention, the central processing system, the image device and the temperature and humidity sensor are introduced, so that various data in the field can be processed in time, the processed data are output through the field planting model and are operated by the water and fertilizer integrated irrigation equipment, intelligent irrigation is carried out on the field, and the economic utility of each mu is further improved.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Step one: preparing land: selecting a land suitable for soybean planting, wherein the PH is 6.0-6.5, and the total salt content of the land is not higher than 0.35%;
step two: and (3) breeding: selecting soybeans with full grains and no wrinkles, and treating the seeds after the breeding is finished, wherein the treatment method of the cultivated seeds is as follows:
firstly, putting selected seeds into enough distilled water for washing;
secondly, washing the seeds washed by distilled water easily in and out by ethanol;
thirdly, washing the seeds washed by ethanol by distilled water again;
fourthly, placing the washed seeds into 0.018% erythromycin water solution to be soaked for 15-17 hours at 35 ℃, wherein the time of distillation washing is 5-8min for two times and the time of ethanol washing is 10-12min;
before sowing, the rhizobium sojae is wrapped on the surface of soybean seeds, and the specific method is as follows:
the first step: rhizobium sojae and clear water are mixed according to the following ratio of 1: preparing the soybean paste according to the proportion of (0.5-0.8), and then placing the soybean into the paste for fully stirring;
secondly, drying the planting of the wrapped soybean rhizobia under natural conditions, thereby obtaining soybean seeds for cultivation;
step three: sowing: mechanical sowing is adopted, the planting distance is 13-21cm, the row distance is 40-50cm, and 3-4 seeds are sown in each hole;
step four: and (3) field management: a water and fertilizer integrated irrigation device is arranged in the field, and the field-planted soybeans are irrigated and fertilized by the device;
step five: and (3) field self-treatment: setting an image device, a temperature and humidity sensor and a pest catcher in the field, and simultaneously setting a central processing system outside, wherein data acquired by the sensor are transmitted to the central processing system for identification and processing;
the image device arranged in the field is a plurality of cmos cameras, the distance between each cmos camera is 10-15m, the cmos automatically collects images in the field in real time, and the collected images are transmitted to the central processing system for identification and analysis;
the central processing system stores the non-dynamic pictures in the received images for 3 days, and stores the dynamic pictures in real time for 30 days;
the temperature and humidity sensors are distributed in an array mode, the distance between every two sensors is 5-7m, the humidity of 30cm below the soil is collected in real time, and the temperature of 30cm below the soil, 10cm below the soil, the soil surface and 15cm above the soil are collected in real time;
the temperature and humidity data are transmitted to a central processing system in real time, the data in the past of the area are collected through the central processing system, the correlations among the temperature, the humidity, the planting density, the yield, the irrigation data and the fertilization data are fused, deep learning is carried out, a field planting model is built, the received temperature and humidity data are judged through the model, the data produced by the model are transmitted to water and fertilizer integrated irrigation equipment, and intelligent irrigation is carried out on fields;
the central processing unit identifies the acquired images, gives an alarm when pests appear, and transmits the region distributed by the pests to the manager.
Example 2
Step one: preparing land: selecting a land suitable for soybean planting, wherein the PH is 6.0-6.5, and the total salt content of the land is not higher than 0.35%;
step two: and (3) breeding: selecting soybeans with full grains and no wrinkles, and treating the seeds after the breeding is finished, wherein the treatment method of the cultivated seeds is as follows:
firstly, putting selected seeds into enough distilled water for washing;
secondly, washing the seeds washed by distilled water easily in and out by ethanol;
thirdly, washing the seeds washed by ethanol by distilled water again;
fourthly, placing the washed seeds into 0.018% erythromycin water solution to be soaked for 15-17 hours at 35 ℃, wherein the time of distillation washing is 5-8min for two times and the time of ethanol washing is 10-12min;
step three: sowing: mechanical sowing is adopted, the planting distance is 13-21cm, the row distance is 40-50cm, and 3-4 seeds are sown in each hole;
step four: and (3) field management: a water and fertilizer integrated irrigation device is arranged in the field, and the field-planted soybeans are irrigated and fertilized by the device;
step five: and (3) field self-treatment: setting an image device, a temperature and humidity sensor and a pest catcher in the field, and simultaneously setting a central processing system outside, wherein data acquired by the sensor are transmitted to the central processing system for identification and processing;
the image device arranged in the field is a plurality of cmos cameras, the distance between each cmos camera is 10-15m, the cmos automatically collects images in the field in real time, and the collected images are transmitted to the central processing system for identification and analysis;
the central processing system stores the non-dynamic pictures in the received images for 3 days, and stores the dynamic pictures in real time for 30 days;
the temperature and humidity sensors are distributed in an array mode, the distance between every two sensors is 5-7m, the humidity of 30cm below the soil is collected in real time, and the temperature of 30cm below the soil, 10cm below the soil, the soil surface and 15cm above the soil are collected in real time;
the temperature and humidity data are transmitted to a central processing system in real time, the data in the past of the area are collected through the central processing system, the correlations among the temperature, the humidity, the planting density, the yield, the irrigation data and the fertilization data are fused, deep learning is carried out, a field planting model is built, the received temperature and humidity data are judged through the model, the data produced by the model are transmitted to water and fertilizer integrated irrigation equipment, and intelligent irrigation is carried out on fields;
the central processing unit identifies the acquired images, gives an alarm when pests appear, and transmits the region distributed by the pests to the manager.
Comparative example 1
Step one: preparing land: selecting a land suitable for soybean planting, wherein the PH is 6.0-6.5, and the total salt content of the land is not higher than 0.35%;
step two: and (3) breeding: selecting soybeans with full grains and no wrinkles, and treating the seeds after the breeding is finished, wherein the treatment method of the cultivated seeds is as follows:
firstly, putting selected seeds into enough distilled water for washing;
secondly, washing the seeds washed by distilled water easily in and out by ethanol;
thirdly, washing the seeds washed by ethanol by distilled water again;
fourthly, placing the washed seeds into 0.018% erythromycin water solution to be soaked for 15-17 hours at 35 ℃, wherein the time of distillation washing is 5-8min for two times and the time of ethanol washing is 10-12min;
before sowing, the rhizobium sojae is wrapped on the surface of soybean seeds, and the specific method is as follows:
the first step: rhizobium sojae and clear water are mixed according to the following ratio of 1: preparing the soybean paste according to the proportion of (0.5-0.8), and then placing the soybean into the paste for fully stirring;
secondly, drying the planting of the wrapped soybean rhizobia under natural conditions, thereby obtaining soybean seeds for cultivation;
step three: sowing: mechanical sowing is adopted, the planting distance is 13-21cm, the row distance is 40-50cm, and 3-4 seeds are sown in each hole;
step four: and (3) field management: and (5) irrigating and fertilizing the field-planted soybeans by manpower.
Planting is carried out according to the modes of the embodiment 1, the embodiment 2 and the comparative example 1, and each mode is used for planting 20 mu of land;
the land yield, cost were counted for the planting in the manner of example 1, example 2 and comparative example 1, and the results are shown in the following table:
| project | Mu average yield (Kg) | Total yield (Kg) | Mu average fertilizer consumption (Kg) |
| Example 1 | 504.6 | 10092.1 | 76.4 |
| Example 2 | 497.3 | 9946.4 | 77.8 |
| Comparative example 1 | 468.7 | 9374.5 | 84.5 |
In sum, the soybeans are preprocessed before being planted, the necrosis rate of the soybeans is reduced, mechanical sowing is adopted, so that the cost of raw materials for early-stage planting is effectively reduced, a central processing system, an image device and a temperature and humidity sensor are introduced, various data in the field can be timely processed, the processed data are output through a field planting model, water and fertilizer integrated irrigation equipment is used for intelligent irrigation in the field, the acre yield of the soybeans is further improved, residual straws after soybean harvest are crushed by a crusher and are supplied to livestock such as cattle and sheep according to the ratio, manure generated by the livestock is returned to farmlands after fermentation treatment to be used as organic fertilizers, the quality and the acre yield of the soybeans are further improved, and the use of fertilizers is reduced, so that the economic benefit, the social benefit and the ecological benefit of each acre are improved.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. The comprehensive land planting and raising method capable of saving cost and enhancing efficiency is characterized by comprising the following steps of:
step one: preparing land: selecting a land suitable for soybean planting, wherein the PH is 6.0-6.5, and the total salt content of the land is not higher than 0.35%;
step two: and (3) breeding: selecting soybeans with full grains and no wrinkles, and treating the seeds after the breeding is completed;
step three: sowing: mechanical sowing is adopted, the planting distance is 13-21cm, the row distance is 40-50cm, and 3-4 seeds are sown in each hole;
step four: and (3) field management: a water and fertilizer integrated irrigation device is arranged in the field, and the field-planted soybeans are irrigated and fertilized by the device;
step five: and (3) field self-treatment: an image device, a temperature and humidity sensor and a pest catcher are arranged in the field, a central processing system is arranged outside the field, and data acquired by the sensor are transmitted to the central processing system for identification and processing.
2. The method for comprehensively planting land according to claim 1, wherein the method for treating the cultivated seeds is as follows:
firstly, putting selected seeds into enough distilled water for washing;
secondly, washing the seeds washed by distilled water easily in and out by ethanol;
thirdly, washing the seeds washed by ethanol by distilled water again;
fourth, the washed seeds are placed into 0.018% erythromycin aqueous solution and soaked for 15-17 hours at 35 ℃.
3. The comprehensive planting and raising method for land with cost saving and efficiency improving effects according to claim 2, wherein the time of the two distillation flushing is 5-8min, and the time of the ethanol flushing is 10-12min.
4. The comprehensive land planting and raising method with cost saving and efficiency improving effect according to claim 3, wherein before sowing, soybean rhizobia is wrapped on the surface of soybean seeds, and the specific method is as follows:
the first step: rhizobium sojae and clear water are mixed according to the following ratio of 1: preparing the soybean paste according to the proportion of (0.5-0.8), and then placing the soybean into the paste for fully stirring;
and secondly, drying the planting of the packed rhizobium japonicum under natural conditions, thereby obtaining the soybean seeds for cultivation.
5. The comprehensive land planting and raising method capable of saving cost and enhancing efficiency according to claim 4, wherein the image device arranged in the field is a plurality of cmos cameras, the distance between each cmos camera is 10-15m, the cmos automatically collects images of the field in real time, and the collected images are transmitted to a central processing system for identification and analysis.
6. The method of claim 5, wherein the central processing system saves the non-dynamic pictures in the received images for 3 days, and saves the dynamic pictures in real time for 30 days.
7. The comprehensive planting and raising method for land with cost saving and efficiency improving according to claim 1, wherein the temperature and humidity sensors are distributed in an array, the distance between each two sensors is 5-7m, the humidity of 30cm under the soil is collected in real time, and the temperature of 30cm under the soil, 10cm under the soil, the soil surface and 15cm above the soil are collected in real time.
8. The comprehensive land planting and raising method for saving cost and improving efficiency according to claim 6, wherein the temperature and humidity data are transmitted to the central processing system in real time, the data in the past of the area are collected through the central processing system, the correlations among the temperature, the humidity, the planting density, the yield, the irrigation data and the fertilization data are fused, deep learning is carried out, thus a field planting model is built, the received temperature and humidity data are judged through the model, and the data produced by the model are transmitted to the water and fertilizer integrated irrigation equipment, so that intelligent irrigation is carried out on fields.
9. The method of claim 7, wherein the central processor identifies the collected images, and when pests occur, the central processor alarms and transmits the region in which the pests are distributed to the manager.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311208585.1A CN117397541A (en) | 2023-09-19 | 2023-09-19 | Cost-saving and efficiency-improving land comprehensive planting and raising method |
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| CN202311208585.1A CN117397541A (en) | 2023-09-19 | 2023-09-19 | Cost-saving and efficiency-improving land comprehensive planting and raising method |
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| CN117397541A true CN117397541A (en) | 2024-01-16 |
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| CN202311208585.1A Pending CN117397541A (en) | 2023-09-19 | 2023-09-19 | Cost-saving and efficiency-improving land comprehensive planting and raising method |
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