CN111061322A - Water and fertilizer integrated system based on artificial intelligence - Google Patents
Water and fertilizer integrated system based on artificial intelligence Download PDFInfo
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- CN111061322A CN111061322A CN201911229208.XA CN201911229208A CN111061322A CN 111061322 A CN111061322 A CN 111061322A CN 201911229208 A CN201911229208 A CN 201911229208A CN 111061322 A CN111061322 A CN 111061322A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D27/00—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00
- G05D27/02—Simultaneous control of variables covered by two or more of main groups G05D1/00 - G05D25/00 characterised by the use of electric means
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C23/00—Distributing devices specially adapted for liquid manure or other fertilising liquid, including ammonia, e.g. transport tanks or sprinkling wagons
- A01C23/007—Metering or regulating systems
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C23/00—Distributing devices specially adapted for liquid manure or other fertilising liquid, including ammonia, e.g. transport tanks or sprinkling wagons
- A01C23/04—Distributing under pressure; Distributing mud; Adaptation of watering systems for fertilising-liquids
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- Water Supply & Treatment (AREA)
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- Automation & Control Theory (AREA)
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Abstract
The invention relates to a water and fertilizer integrated system based on artificial intelligence, which belongs to the technical field of agricultural irrigation and comprises an information acquisition and processing system, a water and fertilizer mixed application system, an inspection robot, a cloud platform and a distributed monitoring center; the information acquisition and processing system acquires data such as soil moisture content, soil pH value, soil EC value, soil temperature value, air temperature and humidity, illumination intensity, trace elements and the like, the data are transmitted to the cloud platform through a network after being fused, and the water and fertilizer mixed application system performs water and fertilizer mixed application according to the soil moisture content, the crop growth period and the crop growth condition; the inspection robot is used for carrying out periodic inspection on crops, carrying out online monitoring and positioning on plant diseases and insect pests, identifying the types of the plant diseases and insect pests and carrying out targeted spraying and pesticide application accurately; the cloud platform issues the instructions of fertilizing and irrigating crops to the water and fertilizer mixed application system according to the information fed back by the information acquisition and processing system and the inspection robot, or issues the instructions of controlling crop diseases and insect pests to the inspection robot.
Description
Technical Field
The invention relates to the technical field of agricultural irrigation, in particular to a water and fertilizer integrated system based on artificial intelligence.
Background
Excessive fertilizer can enter water along with rainfall, irrigation and farmland runoff, seriously pollute surface water and underground water and cause harm to human bodies and ecology. Under the dual pressure of resource conditions and ecological environment, the agricultural development mode is accelerated to be changed, water-saving agriculture is developed vigorously, the resource utilization rate is improved, the sustainable development of agriculture is realized, and the method is extremely urgent and inexorable. The water and fertilizer integration technology is used for comprehensively regulating and integrally managing farmland water and nutrients according to crop demands, promoting fertilizer by water and regulating water by fertilizer, realizing water and fertilizer coupling and comprehensively improving the farmland water and fertilizer utilization efficiency. Compared with the traditional irrigation and fertilization measures, the water and fertilizer integration technology has the advantages of saving water and fertilizer, saving labor, increasing yield, improving the utilization efficiency of the water and fertilizer, improving the quality of crops, reducing environmental pollution and the like. Therefore, the water and fertilizer integration technology gradually becomes a first technology of modern agriculture with resource conservation and environmental friendliness.
If the chinese utility model patent with publication number CN206640995U provides a liquid manure integration system, the peasant needs to prepare the required fertilizer, and after the fertilizer proportioning is completed, the valve is opened, the electric brake is closed, and the farmland crop is watered and fertilized, so that the peasant can not be liberated from the heavy field work.
Disclosure of Invention
Aiming at the problem that the traditional water and fertilizer integration technology in the prior art can not completely liberate farmers from heavy field work, the invention provides an artificial intelligence-based water and fertilizer integration system, which is realized by the following technical scheme:
a water and fertilizer integrated system based on artificial intelligence comprises an information acquisition and processing system, a water and fertilizer mixed application system, an inspection robot, a distributed monitoring center and a cloud platform; the system comprises an information acquisition system, a water and fertilizer acquisition system and an inspection robot, wherein the information acquisition system, the water and fertilizer acquisition system and the inspection robot respectively correspond to a distributed monitoring center, the distributed monitoring center is used for feeding information back to a cloud platform and transmitting an instruction issued by the cloud platform to the information acquisition system, the water and fertilizer mixed application system and the inspection robot, the information acquisition and processing system is used for acquiring data such as soil moisture, a soil pH value, a soil EC value, a soil temperature value, air temperature and humidity, illumination intensity, rainfall and trace element content, and the water and fertilizer mixed application system is used for receiving the instruction issued by the cloud platform and performing water and fertilizer mixed application on crops; the inspection robot is used for periodically inspecting crops, monitoring and positioning diseases and insect pests on line and identifying the types of the diseases and insect pests, feeding information back to the cloud platform through the distributed monitoring center, and spraying and applying pesticide to the crops in a precise targeting manner; the cloud platform issues the instruction of fertilizing and irrigating crops to the water and fertilizer mixed application system according to the information acquisition and processing system and the data information fed back by the inspection robot, or issues the instruction of treating crop diseases and insect pests to the inspection robot.
The scheme of the invention is further as follows: the distributed monitoring center serves as an intermediate station, is connected with the information processing system, the water and fertilizer mixed application system, the inspection robot and the cloud platform through wired transmission or wireless transmission, feeds back information to the cloud platform, or issues instructions of the cloud platform to the information processing system, the water and fertilizer mixed application system and the inspection robot.
The scheme of the invention is further as follows: the information acquisition and processing system comprises a meteorological monitoring module and a soil monitoring module, wherein the meteorological monitoring module comprises a wind speed sensor, a wind direction sensor, a rainfall sensor, an illumination sensor and a temperature and humidity sensor; the soil monitoring component comprises an EC value sensor, a pH value sensor and CO2The sensor, the soil moisture content sensor and the trace element sensor; the information acquisition and processing system distributed monitoring center is connected with the cloud platform and used for feeding back information to the cloud platform and receiving instructions sent by the cloud platform. The information acquisition and processing system processes collected meteorological data or soil data information through the distributed monitoring center and then transmits the processed meteorological data or soil data information to the cloud platform, the cloud platform combines crop growth cycle information according to meteorological information, soil moisture content information, a pH value and an EC value to formulate the proportion of the fertilizer required by each growth cycle of crops, and issues irrigation or fertilization instructions to the water and fertilizer mixed application system.
The scheme of the invention is further as follows: the water and fertilizer mixed application system comprises a constant water pressure frequency conversion control system, a water quality filtering system, a water and fertilizer utilization monitoring system, a fertilizer proportioning barrel and a water and fertilizer all-in-one machine, and the water and fertilizer mixed application system is connected with the cloud platform through a distributed monitoring center and used for feeding back information to the cloud platform and receiving instructions sent by the cloud platform. The cloud platform controls the water and fertilizer blending proportion of the water and fertilizer mixed application system according to the soil moisture content and the growth period and growth condition of crops, so that accurate irrigation and accurate fertilization are realized, the irrigation efficiency is improved, the volatile loss of the fertilizer is reduced, and the non-point source pollution is effectively inhibited.
The scheme of the invention is further as follows: the inspection robot comprises a robot positioning module, a path planning module, a disease detection and positioning module, a disease and pest type identification module and an accurate target pesticide application module, and is connected with the cloud platform through a distributed monitoring center and used for feeding back information to the cloud platform and receiving an instruction sent by the cloud platform. The traditional disease and insect pest detection method mainly depends on personal experience and visual observation, can meet the requirement of small-piece crop planting areas, and obviously cannot meet the requirement of agricultural development for large-scale concentrated planting areas; the invention utilizes the inspection robot to accurately, quickly and efficiently complete the detection task on crops, so that the detection and positioning of plant diseases and insect pests are more accurate, autonomous and intelligent, and people are liberated from the past complicated detection links.
The scheme of the invention is further as follows: the cloud platform is an Ali cloud platform, and a crop growth model database, a pest and disease damage model database and an expert experience database are established on the cloud platform. The cloud platform makes a fertigation plan according to the growth stage of crops, meteorological information and soil information in the field, and in addition, the agent is prepared according to expert experience and disease symptoms of the crops.
The scheme of the invention is further as follows: the cloud platform is connected with a mobile phone terminal or a PC terminal; scientific researchers or planting farmers remotely control the water and fertilizer mixed application system and the inspection robot in the field through a PC or a mobile phone.
In conclusion, the beneficial technical effects of the invention are as follows:
the cloud platform can formulate the proportion of the fertilizer required by each growth period of crops according to the growth condition of the crops, the required water and fertilizer amount, the soil moisture content of farmland and the meteorological information of the farmland, issue an irrigation or fertilization instruction to the water and fertilizer mixed application system, and the water and fertilizer mixed application system automatically completes the proportion, mixed stirring and irrigation of the water and fertilizer and does not need manual operation and fixed time and quantity, so that the accurate mixed application of the water and fertilizer is achieved; the inspection robot is used for carrying out periodic inspection on crops, carrying out online monitoring and positioning on diseases and insect pests, identifying the types of the diseases and insect pests and carrying out accurate targeted spray pesticide application, can replace a traditional disease and insect pest detection method based on personal experience and visual observation, realizes quick, efficient and accurate autonomous disease and insect pest detection, and frees people from past complicated detection links.
Drawings
FIG. 1 is an overall block diagram for showing the system of the present embodiment;
FIG. 2 is a block diagram for showing a water and fertilizer application system;
fig. 3 is an interface diagram for showing a water and fertilizer mixed application system.
Detailed Description
The invention is further described with reference to the accompanying drawings and specific embodiments. It should be understood that these examples are illustrative of the invention only and are not intended to limit the scope of the invention. Further, it should be understood that various changes or modifications of the invention may be made by those skilled in the art after reading the teaching of the invention, and these equivalents also fall within the scope of the invention defined in the present application.
The invention discloses a water and fertilizer integrated system based on artificial intelligence, which comprises an information acquisition and processing system, a water and fertilizer mixed application system, an inspection robot, a distributed monitoring center and a cloud platform, wherein the information acquisition and processing system comprises a plurality of sensors; the system comprises an information acquisition system, a water and fertilizer acquisition system and an inspection robot, wherein the information acquisition system, the water and fertilizer acquisition system and the inspection robot respectively correspond to a distributed monitoring center, the distributed monitoring center is used for feeding back information to a cloud platform and transmitting an instruction issued by the cloud platform to the information acquisition system, the water and fertilizer mixed application system and the inspection robot, the information acquisition and processing system acquires data such as soil moisture, a soil pH value, a soil EC value, a soil temperature value, air temperature and humidity, illumination intensity, rainfall, trace element content and the like, and the water and fertilizer mixed application system receives the instruction issued by the cloud platform and performs water and fertilizer mixed application on crops; the inspection robot is used for regularly inspecting crops, monitoring and positioning diseases and insect pests on line and identifying the types of the diseases and insect pests, feeding information back to the cloud platform through the distributed monitoring center, and spraying and applying pesticide to the crops in a targeted manner accurately; the cloud platform issues the instructions for fertilizing and irrigating crops to the water and fertilizer mixed application system or issues the instructions for controlling crop diseases and insect pests to the inspection robot according to the data information fed back by the information acquisition and processing system and the inspection robot.
The distributed monitoring center serves as an intermediate station, is connected with the information processing system, the water and fertilizer mixed application system, the inspection robot and the cloud platform through wired transmission or wireless transmission, feeds back information to the cloud platform, or sends instructions of the cloud platform to the information processing system, the water and fertilizer mixed application system and the inspection robot.
The information acquisition and processing system comprises a meteorological monitoring module and a soil monitoring module, wherein the meteorological monitoring module comprises a wind speed sensor, a wind direction sensor, a rainfall sensor, an illumination sensor and a temperature and humidity sensor; the soil monitoring component comprises an EC value sensor, a pH value sensor and CO2The sensor, the soil moisture content sensor and the trace element sensor; the information acquisition and processing system distributed monitoring center is connected with the cloud platform and used for feeding back information to the cloud platform and receiving instructions sent by the cloud platform. The information acquisition and processing system processes collected meteorological data or soil data information through the distributed monitoring center and then transmits the processed meteorological data or soil data information to the cloud platform, the cloud platform combines crop growth cycle information according to meteorological information, soil moisture content information, a pH value and an EC value to formulate the proportion of the fertilizer required by each growth cycle of crops, and issues irrigation or fertilization instructions to the water and fertilizer mixed application system.
The water and fertilizer mixed application system comprises a constant water pressure frequency conversion control system, a water quality filtering system, a water and power utilization monitoring system, a fertilizer proportioning barrel and a water and fertilizer integrated machine, and is connected with the cloud platform through a distributed monitoring center and used for feeding back information to the cloud platform and receiving instructions sent by the cloud platform. The cloud platform controls the water and fertilizer blending proportion of the water and fertilizer mixed application system according to the soil moisture content and the growth period and growth condition of crops, so that accurate irrigation and accurate fertilization are realized, the irrigation efficiency is improved, the volatile loss of the fertilizer is reduced, and the non-point source pollution is effectively inhibited.
The inspection robot comprises a robot positioning module, a path planning module, a disease and plant detection and positioning module, a disease and pest type identification module and an accurate target pesticide application module, and is connected with the cloud platform through a distributed monitoring center and used for feeding back information to the cloud platform and receiving an instruction sent by the cloud platform. The traditional disease and insect pest detection method mainly depends on personal experience and visual observation, can meet the requirement of small-piece crop planting areas, and obviously cannot meet the requirement of agricultural development for large-scale concentrated planting areas; the invention utilizes the inspection robot to accurately, quickly and efficiently complete the detection task on crops, so that the detection and positioning of plant diseases and insect pests are more accurate, autonomous and intelligent, and people are liberated from the past complicated detection links.
The cloud platform is an Ali cloud platform, and a crop growth model database, a pest and disease damage model database and an expert experience database are established on the cloud platform. The cloud platform makes a fertigation plan according to the growth stage of crops, meteorological information and soil information in the field, and in addition, the agent is prepared according to expert experience and disease symptoms of the crops.
The cloud platform is connected with a mobile phone terminal or a PC terminal; scientific researchers or planting farmers remotely control the water and fertilizer mixed application system and the inspection robot in the field through a PC or a mobile phone.
The specific implementation manner of this embodiment:
the information acquisition system and the inspection robot analyze the acquired field meteorological information, soil information and crop growth information through the distributed monitoring center and transmit the field meteorological information, the soil information and the crop growth information to the cloud platform, the cloud platform formulates the proportion of fertilizers required by each growth period of crops according to a crop growth model and the crop growth condition fed back by the information acquisition system, and issues an irrigation or fertilization instruction to the mixed water and fertilizer application system, and the mixed water and fertilizer application system automatically completes mixed water and fertilizer stirring and irrigation of the crops; the inspection robot is used for carrying out periodic inspection on crops, carrying out online monitoring and positioning on diseases and insect pests, identifying the types of the diseases and insect pests and carrying out accurate targeted spray pesticide application, can replace a traditional disease and insect pest detection method based on personal experience and visual observation, realizes quick, efficient and accurate autonomous disease and insect pest detection, and frees people from past complicated detection links.
By adopting the water and fertilizer integrated intelligent irrigation and target accurate pesticide spraying technology, the demand of crop growth and fertilization is intelligently identified, the irrigation efficiency is improved, the volatilization and loss of the fertilizer are effectively reduced, the non-point source pollution is inhibited, and the market prospect is wide. The water and fertilizer mixed application system is used for scientific planting and scientific application of crops, improves the grain yield and improves the soil structure; the water and fertilizer are saved, green agriculture is developed, and the important significance is achieved for liberating agricultural labor force. Quickening the change of agricultural water using mode from extensive to intensive and accurate, relieving the contradiction of water resource shortage, and forming a new pattern of development and nature coordination.
Claims (7)
1. A water and fertilizer integrated system based on artificial intelligence is characterized by comprising an information acquisition and processing system, a water and fertilizer mixed application system, an inspection robot, a distributed monitoring center and a cloud platform; the system comprises an information acquisition system, a water and fertilizer acquisition system and an inspection robot, wherein the information acquisition system, the water and fertilizer acquisition system and the inspection robot respectively correspond to a distributed monitoring center, the distributed monitoring center is used for feeding information back to a cloud platform and transmitting an instruction issued by the cloud platform to the information acquisition system, the water and fertilizer mixed application system and the inspection robot, the information acquisition and processing system is used for acquiring data such as soil moisture, a soil pH value, a soil EC value, a soil temperature value, air temperature and humidity, illumination intensity, rainfall and trace element content, and the water and fertilizer mixed application system is used for receiving the instruction issued by the cloud platform and performing water and fertilizer mixed application on crops; the inspection robot is used for periodically inspecting crops, monitoring and positioning diseases and insect pests on line and identifying the types of the diseases and insect pests, feeding information back to the cloud platform through the distributed monitoring center, and spraying and applying pesticide to the crops in a precise targeting manner; the cloud platform issues the instruction of fertilizing and irrigating crops to the water and fertilizer mixed application system according to the information acquisition and processing system and the data information fed back by the inspection robot, or issues the instruction of treating crop diseases and insect pests to the inspection robot.
2. The artificial intelligence based water and fertilizer integrated system according to claim 1, wherein the distributed monitoring center is connected with the information processing system, the water and fertilizer mixed application system, the inspection robot and the cloud platform through wired transmission or wireless transmission as an intermediate station, and feeds back information to the cloud platform, or sends an instruction of the cloud platform to the information processing system, the water and fertilizer mixed application system and the inspection robot.
3. According to the claimsThe artificial intelligence-based water and fertilizer integrated system is characterized in that the information acquisition and processing system comprises a meteorological monitoring module and a soil monitoring module, wherein the meteorological monitoring module comprises a wind speed sensor, a wind direction sensor, a rainfall sensor, an illumination sensor and a temperature and humidity sensor; the soil monitoring component comprises an EC value sensor, a pH value sensor and CO2The sensor, the soil moisture content sensor and the trace element sensor; the information acquisition and processing system distributed monitoring center is connected with the cloud platform and used for feeding back information to the cloud platform and receiving instructions sent by the cloud platform.
4. The artificial intelligence based water and fertilizer integrated system is characterized in that the water and fertilizer mixed application system comprises a constant water pressure frequency conversion control system, a water quality filtering system, a water and power utilization monitoring system, a fertilizer proportioning barrel and a water and fertilizer integrated machine, and the water and fertilizer mixed application system is connected with a cloud platform through a distributed monitoring center and used for feeding back information to the cloud platform and receiving instructions sent by the cloud platform.
5. The water and fertilizer integrated system based on artificial intelligence of claim 1, characterized in that the inspection robot comprises a robot positioning module, a path planning module, a disease detection and positioning module, a pest type identification module and a precise target pesticide application module, and the robot is connected with the cloud platform through a distributed monitoring center and is used for feeding back information to the cloud platform and receiving instructions sent by the cloud platform.
6. The artificial intelligence based water and fertilizer integration system as claimed in claim 1, wherein the cloud platform is an Aliyun platform, and a crop growth model database, a pest and disease damage model database and an expert experience database are established on the cloud platform.
7. The artificial intelligence based water and fertilizer integration system as claimed in claim 1, wherein the cloud platform is connected with a mobile phone terminal or a PC terminal.
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Cited By (16)
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CN111506097A (en) * | 2020-04-30 | 2020-08-07 | 苏州恒井泰信息技术有限公司 | Application system and method of unmanned aerial vehicle remote sensing technology in precision agriculture |
CN111657122A (en) * | 2020-07-24 | 2020-09-15 | 山东沐雨天禾智慧农业有限公司 | Wireless irrigation control system |
CN112526909A (en) * | 2020-12-02 | 2021-03-19 | 中国农业科学院农业信息研究所 | Wisdom agricultural equipment system based on thing networking |
CN112540563A (en) * | 2020-12-28 | 2021-03-23 | 黑龙江东部节水设备有限公司 | Intelligent agricultural control system and control method based on Internet of things |
CN112883230A (en) * | 2021-02-08 | 2021-06-01 | 山东省农业科学院科技信息研究所 | Potato production management system |
CN113179923A (en) * | 2020-12-22 | 2021-07-30 | 湖北良顷农业科技有限公司 | Crop accurate irrigation algorithm and control system |
CN113342036A (en) * | 2021-06-02 | 2021-09-03 | 华南农业大学 | Accurate management and control system and method for crops |
CN113608551A (en) * | 2021-08-11 | 2021-11-05 | 成都信息工程大学 | Unmanned agricultural machinery group cooperation system and application method thereof |
CN113647314A (en) * | 2021-07-13 | 2021-11-16 | 深圳市见康水耕智慧农业有限公司 | Intervention method and system for soil planting |
CN114175907A (en) * | 2021-11-29 | 2022-03-15 | 寿光恒蔬无疆农业发展集团有限公司 | Digital water-saving master control room for garden |
CN114568185A (en) * | 2022-04-08 | 2022-06-03 | 西藏自治区农牧科学院蔬菜研究所 | Method for preventing and treating diseases and insect pests of fruit trees |
CN114879782A (en) * | 2022-03-01 | 2022-08-09 | 南京航空航天大学 | Self-adaptation fertilization system based on crop species and soil fertility |
CN115097888A (en) * | 2022-07-22 | 2022-09-23 | 湖北文理学院 | Wisdom agricultural cloud platform liquid manure control system |
CN115362811A (en) * | 2022-08-11 | 2022-11-22 | 贵州电子科技职业学院 | Mountain crop intelligent cultivation system based on digital twinning |
CN116500205A (en) * | 2023-06-26 | 2023-07-28 | 中国农业科学院农业信息研究所 | Underground leaching monitoring robot system and method for farmland nitrogen |
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CN111506097A (en) * | 2020-04-30 | 2020-08-07 | 苏州恒井泰信息技术有限公司 | Application system and method of unmanned aerial vehicle remote sensing technology in precision agriculture |
CN111657122A (en) * | 2020-07-24 | 2020-09-15 | 山东沐雨天禾智慧农业有限公司 | Wireless irrigation control system |
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CN113179923A (en) * | 2020-12-22 | 2021-07-30 | 湖北良顷农业科技有限公司 | Crop accurate irrigation algorithm and control system |
CN112540563A (en) * | 2020-12-28 | 2021-03-23 | 黑龙江东部节水设备有限公司 | Intelligent agricultural control system and control method based on Internet of things |
CN112883230A (en) * | 2021-02-08 | 2021-06-01 | 山东省农业科学院科技信息研究所 | Potato production management system |
CN113342036A (en) * | 2021-06-02 | 2021-09-03 | 华南农业大学 | Accurate management and control system and method for crops |
CN113647314A (en) * | 2021-07-13 | 2021-11-16 | 深圳市见康水耕智慧农业有限公司 | Intervention method and system for soil planting |
CN113608551A (en) * | 2021-08-11 | 2021-11-05 | 成都信息工程大学 | Unmanned agricultural machinery group cooperation system and application method thereof |
CN114175907A (en) * | 2021-11-29 | 2022-03-15 | 寿光恒蔬无疆农业发展集团有限公司 | Digital water-saving master control room for garden |
CN114879782A (en) * | 2022-03-01 | 2022-08-09 | 南京航空航天大学 | Self-adaptation fertilization system based on crop species and soil fertility |
CN114568185A (en) * | 2022-04-08 | 2022-06-03 | 西藏自治区农牧科学院蔬菜研究所 | Method for preventing and treating diseases and insect pests of fruit trees |
CN115097888A (en) * | 2022-07-22 | 2022-09-23 | 湖北文理学院 | Wisdom agricultural cloud platform liquid manure control system |
CN115362811A (en) * | 2022-08-11 | 2022-11-22 | 贵州电子科技职业学院 | Mountain crop intelligent cultivation system based on digital twinning |
CN116500205A (en) * | 2023-06-26 | 2023-07-28 | 中国农业科学院农业信息研究所 | Underground leaching monitoring robot system and method for farmland nitrogen |
CN116500205B (en) * | 2023-06-26 | 2023-09-22 | 中国农业科学院农业信息研究所 | Underground leaching monitoring robot system and method for farmland nitrogen |
CN117877024A (en) * | 2024-03-13 | 2024-04-12 | 江西省农业科学院蔬菜花卉研究所 | Big data-based monitoring method and system for fusarium wilt of bitter melon |
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