CN111133927A - Big data-based greenhouse planting management method - Google Patents
Big data-based greenhouse planting management method Download PDFInfo
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- CN111133927A CN111133927A CN201911386409.0A CN201911386409A CN111133927A CN 111133927 A CN111133927 A CN 111133927A CN 201911386409 A CN201911386409 A CN 201911386409A CN 111133927 A CN111133927 A CN 111133927A
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- 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
- A01G9/00—Cultivation in receptacles, forcing-frames or greenhouses; Edging for beds, lawn or the like
- A01G9/24—Devices or systems for heating, ventilating, regulating temperature, illuminating, or watering, in greenhouses, forcing-frames, or the like
- A01G9/246—Air-conditioning systems
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- 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
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C21/00—Methods of fertilising, sowing or planting
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C21/00—Methods of fertilising, sowing or planting
- A01C21/005—Following a specific plan, e.g. pattern
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- 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
- A01G13/00—Protecting plants
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- 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
- A01G7/00—Botany in general
- A01G7/04—Electric or magnetic or acoustic treatment of plants for promoting growth
- A01G7/045—Electric or magnetic or acoustic treatment of plants for promoting growth with electric lighting
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- 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
- A01G7/00—Botany in general
- A01G7/06—Treatment of growing trees or plants, e.g. for preventing decay of wood, for tingeing flowers or wood, for prolonging the life of plants
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
- Y02A40/25—Greenhouse technology, e.g. cooling systems therefor
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Abstract
The invention discloses a greenhouse planting management method based on big data, which comprises the following steps: detecting the growth of crops; detecting the characteristics of the soil; detecting the change of the environment in the greenhouse; detecting the illumination intensity and time; detecting the supply of water and fertilizer; detecting plant diseases and insect pests; crop comparison detection; and (5) field management. The method has the beneficial effects that: the method comprises the steps of detecting the characteristics of soil, debugging and recording the soil suitable for growth of crops, recording the humidity, hardness, conductivity, PH value and soil temperature of the soil suitable for growth of the crops and uploading the recorded soil to cloud data trousers, detecting the growth process of the crops through water and fertilizer supply, carrying out water-based topdressing, foliage spraying and reasonable topdressing and fertilizer supply in a breeding season, collecting and recording the fertilizer required for growth of the crops, and finding the most suitable greenhouse planting management method for the crops through big data analysis.
Description
Technical Field
The invention relates to a management method, in particular to a greenhouse planting management method based on big data, and belongs to the technical field of greenhouse planting application.
Background
With the production of high molecular polymers, polyvinyl chloride and polyethylene, plastic films are widely used in agriculture. The greenhouse film is successfully applied to cover hotbeds in the early 50 s in Japan and European and American countries, and then covers small sheds and greenhouses, so that a good effect is achieved, the polyvinyl chloride agricultural film is introduced in China in the autumn of 1955, the polyvinyl chloride agricultural film is firstly used for covering vegetables in the small sheds in Beijing, the early maturing and yield increasing effect is achieved, the greenhouse is originally special equipment for vegetable production, and the application of the greenhouse is more and more extensive along with the development of production.
At present, agricultural planting is generally carried out mainly by experience consciousness, big data collection is not carried out on the growth state of crops, no systematic planting management method is referenced relative to the planting growth condition of the past year, effective regulation management on soil, fertilizer, moisture and illumination which are key factors of crop growth is not provided, the growth of the crops is lack of effective monitoring, pest and disease damage response to the crops is not timely, the damaged area and a prevention and control method are not specially managed, the crop plants with slow growth cannot be treated in a distinguishing mode, the crop growth level is uneven due to the unified fertilization treatment means, the mutual matching of the fertilizer, the water quantity and the illumination is incomplete, the crop growth cannot be effectively promoted, different crops have different suitable soil environments, and the growth of the crops is also influenced by different night temperatures. Therefore, a greenhouse planting management method based on big data is provided for solving the problems.
Disclosure of Invention
The invention aims to solve the problems and provide a greenhouse planting management method based on big data.
The invention realizes the aim through the following technical scheme, and discloses a greenhouse planting management method based on big data, which comprises the following steps:
(1) the crop growth detection is used for recording and storing the growth of crops at different time and the root depth of the crops at different development stages;
(2) detecting the characteristics of soil, wherein the detection of the characteristics of the soil is used for recording the humidity, the hardness, the conductivity, the PH value and the soil temperature of the soil before and after the crops are planted;
(3) detecting the change of the environment in the greenhouse, wherein the detection of the change of the environment in the greenhouse is used for monitoring the growth speed of crops at different periods of temperature and humidity in the greenhouse in real time;
(4) detecting the illumination intensity and time, wherein the illumination intensity and time detection is used for penetrating and recording the illumination received by the crops during the growth period and the growth state of the crops at the same time;
(5) water and fertilizer replenishment detection applied to water and fertilizer supply required by crops during growth;
(6) detecting plant diseases and insect pests, wherein the plant diseases and insect pests are detected whether the plant of crops is corroded by the plant diseases and insect pests through continuity of the surfaces of the crops;
(7) crop contrast detection, wherein the crop contrast detection is applied to contrast the growth and development conditions of plants with different thicknesses of the same crop under the same environment;
(8) and (4) field management, wherein the field management is applied to weeding, topdressing and watering of crops in the greenhouse.
Preferably, in the crop growth detection in step (1), the single crop is monitored in real time in the whole growing season of the crop.
Preferably, the soil characteristic detection in the step (2) is to adjust the PH value of the greenhouse soil to be within the range of PH 5.5-7.0.
Preferably, the environment change in the greenhouse in the step (3) is detected, the lowest temperature in the greenhouse is adjusted to be more than 13 ℃, and the temperature of the greenhouse at night is kept within the range of 13-20 ℃.
Preferably, the illumination intensity detection in the step (4) is carried out according to the illumination time of the crops, and the illumination required by the solanaceous vegetables in the greenhouse in the flowering and fruiting period is adjusted to be 12-14 hours.
Preferably, the step of detecting the supply of water and fertilizer in the step (5) is as follows:
the method comprises the following steps: the potassium sulfate compound fertilizer and the high-quality organic compound fertilizer are selected to be applied along with water, the principle of 'small quantity and multiple times' is mastered, and excessive application at one time is avoided;
step two: the fertilizer is sprayed on the leaf surfaces, the root systems of plants have weak fertilizer absorbing capacity in low-temperature seasons in winter and spring, the soil topdressing utilization rate is low, the fertilizer efficiency is poor, and high-quality leaf fertilizers are selected for leaf surface spraying, so that various nutrients can be quickly and effectively supplied, and the growth needs are complemented;
and step three, reasonably selecting foliar fertilizer for mouth according to the growing season.
Preferably, in the step (6), the seeds are screened and exposed to the sun through a screening process, and when the crop is subjected to pest control, a mode of combining ecological control, agricultural control and physical control is adopted.
Preferably, the crop comparison in the step (7) is detected; the crop in the same area is sampled and compared for detection.
Preferably, in the field management in the step (8), plants are reasonably sorted, pruning, twitching, tying vines, aging leaves and the like are carried out in time, and ventilation and light transmission in the shed are improved.
Preferably, the step (8) of field management comprises the following steps:
the method comprises the following steps: weeding, wherein chemical herbicides can be used for fully spraying before seedling emergence, soil is loosened by shallow hoeing once, soil is loosened for the second time after the crops emerge, and shallow ploughing, soil loosening and chemical weeding are carried out once again after the seedlings are poured;
step two: top dressing, using decomposed soil mixed fertilizer or stable manure compost as base fertilizer, the base fertilizer is 70% -80% of total fertilizer amount, before transplanting, the top dressing is applied to soil, after every year seedling comes out of the soil, the manure is applied once, during seedling pouring period, the plant ash or soil mixed fertilizer can be applied and the soil can be covered, adopting chemical fertilizer, reasonably top dressing;
step three: watering is carried out frequently, the water sites are kept moist, watering can be carried out in arid seasons, furrows are formed, and shading is paid attention.
The invention has the beneficial effects that: in the invention, soil characteristics are detected, soil suitable for growth of crops is debugged and recorded, the humidity, hardness, conductivity, PH value and soil temperature of the soil suitable for growth of the crops are recorded and uploaded to cloud data trousers, the illumination intensity and time required for the growth of the crops are detected and adjusted and recorded through illumination intensity and time, water and fertilizer supply detection is used for carrying out water topdressing and foliage dressing on the growth process of the crops, reasonable topdressing and fertilizer supplement in a breeding season are carried out, fertilizers required for the growth of the crops are collected and recorded, the crops are screened and exposed from seeds through pest detection, ecological control, agricultural control and physical control are carried out in the process from germination to breeding of the seeds, and a suitable solution is provided, the method comprises the steps of sampling, comparing and detecting crops in the same area, finding out proper temperature and humidity required by the growth of the crops in a greenhouse and influences on the growth of the crops, adjusting weeding, top application and watering of the crops in the greenhouse through field management, timely pruning, twitching, tying tendrils, aging leaves and the like through plant arrangement, improving ventilation and light transmission in the greenhouse, finding out a proper field management method, and finding out the most proper planting management method for the crops through big data analysis.
Drawings
FIG. 1 is a method management diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows:
a greenhouse planting management method based on big data comprises the following steps:
(1) the crop growth detection is used for recording and storing the growth of crops at different time and the root depth of the crops at different development stages;
(2) detecting the characteristics of soil, wherein the detection of the characteristics of the soil is used for recording the humidity, the hardness, the conductivity, the PH value and the soil temperature of the soil before and after the crops are planted;
(3) detecting the change of the environment in the greenhouse, wherein the detection of the change of the environment in the greenhouse is used for monitoring the growth speed of crops at different periods of temperature and humidity in the greenhouse in real time;
(4) detecting the illumination intensity and time, wherein the illumination intensity and time detection is used for penetrating and recording the illumination received by the crops during the growth period and the growth state of the crops at the same time;
(5) water and fertilizer replenishment detection applied to water and fertilizer supply required by crops during growth;
(6) detecting plant diseases and insect pests, wherein the plant diseases and insect pests are detected whether the plant of crops is corroded by the plant diseases and insect pests through continuity of the surfaces of the crops;
(7) crop contrast detection, wherein the crop contrast detection is applied to contrast the growth and development conditions of plants with different thicknesses of the same crop under the same environment;
(8) and (4) field management, wherein the field management is applied to weeding, topdressing and watering of crops in the greenhouse.
In the crop growth detection in the step (1), the single crop is monitored in real time in the whole growing season of the crop.
And (3) detecting the characteristics of the soil in the step (2), and adjusting the pH value of the greenhouse soil to be kept in the range of pH 6.5.
And (4) detecting the change of the environment in the greenhouse in the step (3), adjusting the lowest temperature in the greenhouse to be more than 13 ℃, and keeping the temperature of the greenhouse at night within the range of 17 ℃.
And (4) detecting the illumination intensity in the step (4), judging according to the illumination time of the crops, and adjusting the illumination required by the solanaceous vegetables in the greenhouse in the flowering and fruiting period to be 13 hours.
The step of water and fertilizer supply detection in the step (5) is as follows:
the method comprises the following steps: the potassium sulfate compound fertilizer and the high-quality organic compound fertilizer are selected to be applied along with water, the principle of 'small quantity and multiple times' is mastered, and excessive application at one time is avoided;
step two: the fertilizer is sprayed on the leaf surfaces, the root systems of plants have weak fertilizer absorbing capacity in low-temperature seasons in winter and spring, the soil topdressing utilization rate is low, the fertilizer efficiency is poor, and high-quality leaf fertilizers are selected for leaf surface spraying, so that various nutrients can be quickly and effectively supplied, and the growth needs are complemented;
and step three, reasonably selecting foliar fertilizer for mouth according to the growing season.
And (4) in the step (6), the seeds are screened and exposed in the screening process, and when the crop is subjected to pest control, a mode of combining ecological control, agricultural control and physical control is adopted.
The crop comparison detection in the step (7); the crop in the same area is sampled and compared for detection.
And (4) performing field management in the step (8), reasonably finishing plants, timely pruning, twitching, tying tendrils, cutting old leaves and the like, and improving ventilation and light transmission in the shed.
The step (8) of field management comprises the following steps:
the method comprises the following steps: weeding, wherein chemical herbicides can be used for fully spraying before seedling emergence, soil is loosened by shallow hoeing once, soil is loosened for the second time after the crops emerge, and shallow ploughing, soil loosening and chemical weeding are carried out once again after the seedlings are poured;
step two: top dressing, using decomposed soil mixed fertilizer or stable manure compost as base fertilizer, the base fertilizer is 70% -80% of total fertilizer amount, before transplanting, the top dressing is applied to soil, after every year seedling comes out of the soil, the manure is applied once, during seedling pouring period, the plant ash or soil mixed fertilizer can be applied and the soil can be covered, adopting chemical fertilizer, reasonably top dressing;
step three: watering is carried out frequently, the water sites are kept moist, watering can be carried out in arid seasons, furrows are formed, and shading is paid attention.
The management method is convenient for detecting the influence on the growth of crops caused by the fact that the soil in the greenhouse is in the PH6.5 range, the greenhouse temperature is 17 ℃ at night, the illumination is kept for 13 hours in the flowering and fruiting period, the growth environment suitable for the crops is adjusted, and the management method suitable for greenhouse planting is obtained.
Example two:
a greenhouse planting management method based on big data comprises the following steps:
(1) the crop growth detection is used for recording and storing the growth of crops at different time and the root depth of the crops at different development stages;
(2) detecting the characteristics of soil, wherein the detection of the characteristics of the soil is used for recording the humidity, the hardness, the conductivity, the PH value and the soil temperature of the soil before and after the crops are planted;
(3) detecting the change of the environment in the greenhouse, wherein the detection of the change of the environment in the greenhouse is used for monitoring the growth speed of crops at different periods of temperature and humidity in the greenhouse in real time;
(4) detecting the illumination intensity and time, wherein the illumination intensity and time detection is used for penetrating and recording the illumination received by the crops during the growth period and the growth state of the crops at the same time;
(5) water and fertilizer replenishment detection applied to water and fertilizer supply required by crops during growth;
(6) detecting plant diseases and insect pests, wherein the plant diseases and insect pests are detected whether the plant of crops is corroded by the plant diseases and insect pests through continuity of the surfaces of the crops;
(7) crop contrast detection, wherein the crop contrast detection is applied to contrast the growth and development conditions of plants with different thicknesses of the same crop under the same environment;
(8) and (4) field management, wherein the field management is applied to weeding, topdressing and watering of crops in the greenhouse.
In the crop growth detection in the step (1), the single crop is monitored in real time in the whole growing season of the crop.
And (3) detecting the characteristics of the soil in the step (2), and adjusting the pH value of the greenhouse soil to be maintained within the range of pH 7.0.
And (4) detecting the change of the environment in the greenhouse in the step (3), adjusting the lowest temperature in the greenhouse to be more than 13 ℃, and keeping the temperature of the greenhouse at night within the range of 20 ℃.
And (4) detecting the illumination intensity in the step (4), judging according to the illumination time of the crops, and adjusting the illumination required by the solanaceous vegetables in the greenhouse in the flowering and fruiting period to be 14 hours.
The step of water and fertilizer supply detection in the step (5) is as follows:
the method comprises the following steps: the potassium sulfate compound fertilizer and the high-quality organic compound fertilizer are selected to be applied along with water, the principle of 'small quantity and multiple times' is mastered, and excessive application at one time is avoided;
step two: the fertilizer is sprayed on the leaf surfaces, the root systems of plants have weak fertilizer absorbing capacity in low-temperature seasons in winter and spring, the soil topdressing utilization rate is low, the fertilizer efficiency is poor, and high-quality leaf fertilizers are selected for leaf surface spraying, so that various nutrients can be quickly and effectively supplied, and the growth needs are complemented;
and step three, reasonably selecting foliar fertilizer for mouth according to the growing season.
And (4) in the step (6), the seeds are screened and exposed in the screening process, and when the crop is subjected to pest control, a mode of combining ecological control, agricultural control and physical control is adopted.
The crop comparison detection in the step (7); the crop in the same area is sampled and compared for detection.
And (4) performing field management in the step (8), reasonably finishing plants, timely pruning, twitching, tying tendrils, cutting old leaves and the like, and improving ventilation and light transmission in the shed.
The step (8) of field management comprises the following steps:
the method comprises the following steps: weeding, wherein chemical herbicides can be used for fully spraying before seedling emergence, soil is loosened by shallow hoeing once, soil is loosened for the second time after the crops emerge, and shallow ploughing, soil loosening and chemical weeding are carried out once again after the seedlings are poured;
step two: top dressing, using decomposed soil mixed fertilizer or stable manure compost as base fertilizer, the base fertilizer is 70% -80% of total fertilizer amount, before transplanting, the top dressing is applied to soil, after every year seedling comes out of the soil, the manure is applied once, during seedling pouring period, the plant ash or soil mixed fertilizer can be applied and the soil can be covered, adopting chemical fertilizer, reasonably top dressing;
step three: watering is carried out frequently, the water sites are kept moist, watering can be carried out in arid seasons, furrows are formed, and shading is paid attention.
The management method is convenient for detecting the influence on the growth of crops caused by keeping illumination for 14 hours in the flowering and fruiting period when the temperature of the greenhouse is 20 ℃ and the temperature of the greenhouse is in the range of pH7.0, and adjusting the growth environment suitable for the crops to obtain the management method suitable for greenhouse planting.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (10)
1. A greenhouse planting management method based on big data is characterized in that: the management method comprises the following steps:
(1) the crop growth detection is used for recording and storing the growth of crops at different time and the root depth of the crops at different development stages;
(2) detecting the characteristics of soil, wherein the detection of the characteristics of the soil is used for recording the humidity, the hardness, the conductivity, the PH value and the soil temperature of the soil before and after the crops are planted;
(3) detecting the change of the environment in the greenhouse, wherein the detection of the change of the environment in the greenhouse is used for monitoring the growth speed of crops at different periods of temperature and humidity in the greenhouse in real time;
(4) detecting the illumination intensity and time, wherein the illumination intensity and time detection is used for penetrating and recording the illumination received by the crops during the growth period and the growth state of the crops at the same time;
(5) water and fertilizer replenishment detection applied to water and fertilizer supply required by crops during growth;
(6) detecting plant diseases and insect pests, wherein the plant diseases and insect pests are detected whether the plant of crops is corroded by the plant diseases and insect pests through continuity of the surfaces of the crops;
(7) crop contrast detection, wherein the crop contrast detection is applied to contrast the growth and development conditions of plants with different thicknesses of the same crop under the same environment;
(8) and (4) field management, wherein the field management is applied to weeding, topdressing and watering of crops in the greenhouse.
2. The big data-based greenhouse planting management method according to claim 1, wherein the big data-based greenhouse planting management method comprises the following steps: in the crop growth detection in the step (1), the single crop is monitored in real time in the whole growing season of the crop.
3. The big data-based greenhouse planting management method according to claim 1, wherein the big data-based greenhouse planting management method comprises the following steps: and (3) detecting the characteristics of the soil in the step (2), and adjusting the pH value of the greenhouse soil to be maintained within the range of pH 5.5-7.0.
4. The big data-based greenhouse planting management method according to claim 1, wherein the big data-based greenhouse planting management method comprises the following steps: and (4) detecting the change of the environment in the greenhouse in the step (3), adjusting the lowest temperature in the greenhouse to be more than 13 ℃, and keeping the temperature of the greenhouse at night within the range of 13-20 ℃.
5. The big data-based greenhouse planting management method according to claim 1, wherein the big data-based greenhouse planting management method comprises the following steps: and (4) detecting the illumination intensity in the step (4), judging according to the illumination time of the crops, and adjusting the illumination required by the solanaceous vegetables in the greenhouse in the flowering and fruiting period to be 12-14 hours.
6. The big data-based greenhouse planting management method according to claim 1, wherein the big data-based greenhouse planting management method comprises the following steps: the step of water and fertilizer supply detection in the step (5) is as follows:
the method comprises the following steps: the potassium sulfate compound fertilizer and the high-quality organic compound fertilizer are selected to be applied along with water, the principle of 'small quantity and multiple times' is mastered, and excessive application at one time is avoided;
step two: the fertilizer is sprayed on the leaf surfaces, the root systems of plants have weak fertilizer absorbing capacity in low-temperature seasons in winter and spring, the soil topdressing utilization rate is low, the fertilizer efficiency is poor, and high-quality leaf fertilizers are selected for leaf surface spraying, so that various nutrients can be quickly and effectively supplied, and the growth needs are complemented;
and step three, reasonably selecting foliar fertilizer for mouth according to the growing season.
7. The big data-based greenhouse planting management method according to claim 1, wherein the big data-based greenhouse planting management method comprises the following steps: and (4) in the step (6), the seeds are screened and exposed in the screening process, and when the crop is subjected to pest control, a mode of combining ecological control, agricultural control and physical control is adopted.
8. The big data-based greenhouse planting management method according to claim 1, wherein the big data-based greenhouse planting management method comprises the following steps: the crop comparison detection in the step (7); the crop in the same area is sampled and compared for detection.
9. The big data-based greenhouse planting management method according to claim 1, wherein the big data-based greenhouse planting management method comprises the following steps: and (4) performing field management in the step (8), reasonably finishing plants, timely pruning, twitching, tying tendrils, cutting old leaves and the like, and improving ventilation and light transmission in the shed.
10. The big data-based greenhouse planting management method according to claim 1, wherein the big data-based greenhouse planting management method comprises the following steps: the step (8) of field management comprises the following steps:
the method comprises the following steps: weeding, wherein chemical herbicides can be used for fully spraying before seedling emergence, soil is loosened by shallow hoeing once, soil is loosened for the second time after the crops emerge, and shallow ploughing, soil loosening and chemical weeding are carried out once again after the seedlings are poured;
step two: top dressing, using decomposed soil mixed fertilizer or stable manure compost as base fertilizer, the base fertilizer is 70% -80% of total fertilizer amount, before transplanting, the top dressing is applied to soil, after every year seedling comes out of the soil, the manure is applied once, during seedling pouring period, the plant ash or soil mixed fertilizer can be applied and the soil can be covered, adopting chemical fertilizer, reasonably top dressing;
step three: watering is carried out frequently, the water sites are kept moist, watering can be carried out in arid seasons, furrows are formed, and shading is paid attention.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111657034A (en) * | 2020-05-29 | 2020-09-15 | 南京荣坤生态农业有限公司 | Method for rain-sheltering cultivation of pomegranate in high-temperature and high-humidity area |
| CN112950399A (en) * | 2021-03-10 | 2021-06-11 | 中国热带农业科学院热带作物品种资源研究所 | Non-pollution prevention and control system and method for planting Shanlan rice |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111657034A (en) * | 2020-05-29 | 2020-09-15 | 南京荣坤生态农业有限公司 | Method for rain-sheltering cultivation of pomegranate in high-temperature and high-humidity area |
| CN112950399A (en) * | 2021-03-10 | 2021-06-11 | 中国热带农业科学院热带作物品种资源研究所 | Non-pollution prevention and control system and method for planting Shanlan rice |
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