WO2019085429A1 - Procédé et appareil de génération de tâche de plantation, dispositif électronique et support d'informations - Google Patents

Procédé et appareil de génération de tâche de plantation, dispositif électronique et support d'informations Download PDF

Info

Publication number
WO2019085429A1
WO2019085429A1 PCT/CN2018/085897 CN2018085897W WO2019085429A1 WO 2019085429 A1 WO2019085429 A1 WO 2019085429A1 CN 2018085897 W CN2018085897 W CN 2018085897W WO 2019085429 A1 WO2019085429 A1 WO 2019085429A1
Authority
WO
WIPO (PCT)
Prior art keywords
planting
plant
information
task
data
Prior art date
Application number
PCT/CN2018/085897
Other languages
English (en)
Chinese (zh)
Inventor
朱炯
潘振鹏
Original Assignee
深圳春沐源控股有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳春沐源控股有限公司 filed Critical 深圳春沐源控股有限公司
Publication of WO2019085429A1 publication Critical patent/WO2019085429A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0428—Safety, monitoring
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/24—Pc safety
    • G05B2219/24024—Safety, surveillance

Definitions

  • the present application relates to the field of planting technology, and in particular, to a planting task generating method, device, electronic device and storage medium.
  • the greenhouse is an important part of facility agriculture. It is a modern agricultural production method that integrates applied engineering equipment technology and environmental technology to produce crops. It can realize crop continuous cropping and annual planting. Greenhouse planting includes multiple stages such as seedling raising, planting, and seedling management. Each process requires standardized planting. The existing greenhouse planting still does not break away from the traditional planting mode. Planting personnel's experience is used to plant and develop planting plans. Greenhouse planting can control the planting environment and achieve annual crop growth and continuous planting. Therefore, it is necessary to formulate planting plans in advance and prepare planting materials in order to achieve continuous planting, avoid material waste or vacant planting areas.
  • the existing agricultural planting management mainly relies on the planting experience of planters.
  • the following planting problems often occur: First, there is excess planting material. Before planting, it is necessary to purchase a variety of planting materials in advance. Some planting materials have shelf life and cannot be stored for a long time. Due to the influence of greenhouse planting area and planting plan, if it cannot be used in time or not used later, material waste will be caused; The planting area is vacant. After the previous stage of planting, it is impossible to colonize and start the next stage of planting management.
  • a planting task generating method comprising:
  • the planting task information of the next plant is generated according to the planting information of the next plant and the planting plan data of the next plant.
  • the planting plan data of the next plant that acquires the current plant of the planting area includes one or more of the following:
  • the planting plan data of the plant corresponding to the pre-recorded planting time is obtained, and the obtained planting plan data is determined as the planting plan data of the next plant.
  • the planting planning data includes a planting sequence of the plurality of plants, obtaining growth stage data of the current plant, and when the growth stage data of the current plant reaches a pre-preparation
  • the next plant of the current plant is determined according to the planting order of the plurality of plants, and the planting plan data of the next plant is obtained.
  • the method further includes:
  • the preset condition is determined according to the planting information of the next plant and/or the planting information of the current plant.
  • the method further comprises: pre-storing planting information of the plurality of plants.
  • the generating planting task information of the next plant according to the planting information of the next plant and the planting plan data of the next plant includes:
  • the method further includes:
  • the planting information for each plant stored is updated based on the growth monitoring data for each plant.
  • the method further includes:
  • the abnormal data is sent to the terminal device of the corresponding grower.
  • An electronic device comprising a memory for storing at least one instruction, and a processor for executing the at least one instruction to implement the planting task generation method of any of the embodiments.
  • a computer readable storage medium storing at least one instruction, the at least one instruction being executed by a processor to implement a planting task generation method, the planting task generating method comprising the method described in any embodiment Planting task generation method.
  • a planting task generating device comprising:
  • An acquisition module having planting plan data for obtaining the next plant of the current plant in the planting area
  • the obtaining module is further configured to acquire planting information of the next plant
  • a generating module configured to generate planting task information of the next plant according to the planting information of the next plant and the planting plan data of the next plant.
  • the present application obtains planting plan data of the next plant of the current plant in the planting area; acquires planting information of the next plant; and according to the planting information of the next plant And planting plan data of the next plant, generating planting task information of the next plant.
  • the application can carry out scientific planting according to the real-time planting situation of the planting area, and can avoid vacant planting area and waste of materials.
  • FIG. 1 is a flow chart of a preferred embodiment of a method for generating a planting task of the present application.
  • FIG. 2 is a functional block diagram of a preferred embodiment of the planting task generating apparatus of the present application.
  • FIG. 3 is a schematic structural diagram of an electronic device according to a preferred embodiment of a method for generating a planting task according to the present application.
  • FIG. 1 it is a flow chart of a preferred embodiment of the method for generating a planting task of the present application.
  • the order of the steps in the flowchart may be changed according to different requirements, and some steps may be omitted.
  • the electronic device acquires planting plan data of the next plant of the current plant in the planting area.
  • planting planning data is available for each planting area.
  • the planting planning data includes a planting sequence of a plurality of plants.
  • the greenhouse has 2 planting areas, A planting area, B planting area, and planting cucumber, tomato, potato and cucumber in the A planting area. That is, after the cucumber is harvested, the tomatoes are planted, the tomatoes are harvested, the potatoes are planted,
  • Each plant corresponds to planting information and planting plan data, and pre-stores planting information of various plants in the planting area.
  • the planting information is used to represent data in planting links (eg, seedlings, colonization) associated with the plant, including, but not limited to, one or more of the following combinations: seedling time, seedling number, seedling material, Greenhouse conditions for seedling raising, seedling germination rate, planting time, number of plants, materials to be planted, greenhouse conditions for planting, etc.
  • the materials include, but are not limited to, nutrient solutions, materials, and the like.
  • the greenhouse conditions include, but are not limited to, temperature, light, moisture, and the like.
  • the planting plan data includes, but is not limited to, planned planting time, planned planting quantity.
  • the planned planting time includes one or a combination of the following, but is not limited to: planned seedling time, planned planting time, planned seedling number, planned planting quantity, and the like.
  • the electronic device acquires growth monitoring data for each plant monitored in real time; and updates the stored planting information for each plant based on the growth monitoring data for each plant.
  • the electronic device is in communication with a plurality of monitoring devices for monitoring growth of the plant and transmitting growth monitoring data to the electronic device, the electronic device monitoring growth
  • the data is analyzed, and the planting information of each plant is updated in real time according to the analysis result.
  • the growth monitoring data is used to represent characteristic data for various growth stages, such as germination data, maturity status, health status, and the like.
  • the monitoring device includes, but is not limited to, an infrared sensing device, an imaging device, and the like.
  • the planting plan data for obtaining the next plant of the current plant of the planting area is obtained by any of the following means:
  • the first mode when the current time is matched with the pre-recorded planting time, the planting plan data of the plant corresponding to the pre-recorded planned planting time is obtained, and the obtained planting plan data is determined as the next planting object. Planting plan data.
  • a second mode acquiring planting planning data of the planting area set in advance, and acquiring growth stage data of the current plant, when the growth stage data of the current plant reaches a preset condition, according to the plurality of species The planting sequence of the plant, determining the next plant of the current plant, and obtaining planting plan data for the next plant.
  • the predetermined condition is determined based on planting information of the next plant and/or planting information of the current plant.
  • the current plant is cucumber
  • the next plant is tomato.
  • the preset conditions can be set by the planned planting time of the tomato, such as setting the preset condition for the cucumber to enter the second day of maturity, etc., when the cucumber grows.
  • the planting plan data of the next plant is automatically acquired, and the planting task of the next plant is generated, and the automatic supervision and management is realized without manual supervision and distribution.
  • the preset conditions can also be dynamically adjusted in combination with the planting information of the current plant.
  • the preset condition to start setting is the second day when the cucumber enters maturity, but since the cucumber is ripe for three days, it needs to adjust the preset conditions, for example, adjust the preset condition to the fifth day when the cucumber enters maturity. and many more. This will improve the system data in real time, which will make the planting task information more accurate.
  • the electronic device acquires growth monitoring data of the current plant monitored in real time; and determining, according to the current plant growth monitoring data, whether the current plant growth monitoring data is abnormal; When there is an abnormality in the growth monitoring data of the current plant, the abnormal data is sent to the corresponding grower.
  • the electronic device acquires planting information of the next plant.
  • the electronic device generates planting task information of the next plant according to the planting information of the next plant and the planting plan data of the next plant.
  • the generating planting task information of the next plant according to the planting information of the next plant and the planting plan data of the next plant includes:
  • task information of the seedling stage of the next plant and task information of the planting stage are generated.
  • the task information of the seedling stage is used to indicate the planter's seedling work, including, but not limited to, seedling time, seedling quantity, seedling materials to be prepared, greenhouse conditions at the time of seedling raising, and the like.
  • the task information of the planting stage includes, but is not limited to, planting time, number of colonies, fixed plant materials to be prepared, greenhouse conditions such as planting conditions, and other data related to colonization. In this way, the grower can carry out scientific planting according to the real-time planting situation of the planting area, and can avoid vacant planting area and waste of materials.
  • the present application obtains planting plan data of the next plant of the current plant in the planting area; acquires planting information of the next plant; according to the planting information of the next plant and the next plant Planting plan data, generating planting task information for the next plant.
  • the application can carry out scientific planting according to the real-time planting situation of the planting area, and can avoid vacant planting area and waste of materials.
  • the planting task generating device 11 includes an obtaining module 100, an updating module 101, a determining module 102, a sending module 103, and a generating module 104.
  • a module as referred to in this application refers to a series of computer program segments that can be executed by a processing device of a base station and capable of performing a fixed function, which is stored in a storage device of the base station. In the present embodiment, the functions of the respective modules will be described in detail in the subsequent embodiments.
  • the acquisition module 100 acquires planting plan data of the next plant of the current plant of the planting area.
  • planting planning data is available for each planting area.
  • the planting planning data includes a planting sequence of a plurality of plants.
  • the greenhouse has 2 planting areas, A planting area, B planting area, and planting cucumber, tomato, potato and cucumber in the A planting area. That is, after the cucumber is harvested, the tomatoes are planted, the tomatoes are harvested, the potatoes are planted,
  • Each plant corresponds to planting information and planting plan data, and pre-stores planting information for each plant in the planting area.
  • the planting information is used to represent data in planting links (eg, seedlings, colonization) associated with the plant, including, but not limited to, one or more of the following combinations: seedling time, seedling number, seedling material, Greenhouse conditions for seedling raising, seedling germination rate, planting time, number of plants, materials to be planted, greenhouse conditions for planting, etc.
  • the materials include, but are not limited to, nutrient solutions, materials, and the like.
  • the greenhouse conditions include, but are not limited to, temperature, light, moisture, and the like.
  • the planting plan data includes, but is not limited to, planned planting time, planned planting quantity.
  • the planned planting time includes one or a combination of the following, but is not limited to: planned seedling time, planned planting time, planned seedling number, planned planting quantity, and the like.
  • the obtaining module 100 acquires growth monitoring data of each plant monitored in real time; the updating module 101 performs planting information on each plant stored according to the growth monitoring data of each plant. Update.
  • the electronic device is in communication with a plurality of monitoring devices for monitoring growth of the plant and transmitting growth monitoring data to the electronic device, the update module 101 for growing
  • the monitoring data is analyzed, and the planting information of each plant is updated in real time according to the analysis result.
  • the growth monitoring data is used to represent characteristic data for various growth stages, such as germination data, maturity status, health status, and the like.
  • the monitoring device includes, but is not limited to, an infrared sensing device, an imaging device, and the like.
  • the obtaining module 100 acquires planting plan data of the next plant of the current plant of the planting area, and is obtained by any of the following methods:
  • the first mode when the current time is matched with the pre-recorded planting time, the planting plan data of the plant corresponding to the pre-recorded planned planting time is obtained, and the obtained planting plan data is determined as the next planting object. Planting plan data.
  • a second mode acquiring planting planning data of the planting area set in advance, and acquiring growth stage data of the current plant, when the growth stage data of the current plant reaches a preset condition, according to the plurality of species The planting sequence of the plant, determining the next plant of the current plant, and obtaining planting plan data for the next plant.
  • the determining module 102 determines the preset condition according to the planting information of the next plant and/or the planting information of the current plant.
  • the current plant is cucumber
  • the next plant is tomato.
  • the preset conditions can be set by the planned planting time of the tomato, such as setting the preset condition to adjust the cucumber to the second day of maturity, etc., when the cucumber is
  • the planting plan data of the next plant is automatically acquired, and the planting task of the next plant is generated, and the automatic supervision and management is realized without manual supervision and distribution.
  • the determining module 102 can also dynamically adjust the preset condition in combination with the planting information of the current plant.
  • the preset condition for starting the setting is the second day when the cucumber enters the maturity period, but since the cucumber is ripe for three days, it is necessary to adjust the preset conditions, for example, the preset condition is that the cucumber enters the fifth day of the maturity period, etc. Wait. This will improve the system data in real time, which will make the planting task information more accurate.
  • the obtaining module 100 acquires the growth monitoring data of the current plant monitored in real time; the determining module 102 determines the growth monitoring data of the current plant according to the current plant growth monitoring data. Whether there is an abnormality; the sending module 103 sends the abnormal data to the corresponding grower when there is an abnormality in the growth monitoring data of the current plant.
  • the obtaining module 100 acquires planting information of the next plant.
  • the generating module 104 generates planting task information of the next plant according to the planting information of the next plant and the planting plan data of the next plant.
  • the generating module 104 generates the planting task information of the next plant according to the planting information of the next plant and the planting plan data of the next plant, including:
  • the generating module 104 generates task information of the seedling stage of the next plant and generates task information of the planting stage according to the planting information of the next plant and the planting plan data of the next plant. .
  • the task information of the seedling stage is used to indicate the planter's seedling work, including, but not limited to, seedling time, seedling quantity, seedling materials to be prepared, greenhouse conditions at the time of seedling raising, and the like.
  • the task information of the planting stage includes, but is not limited to, planting time, number of colonies, fixed plant materials to be prepared, greenhouse conditions such as planting conditions, and other data related to colonization. In this way, the grower can carry out scientific planting according to the real-time planting situation of the planting area, and can avoid vacant planting area and waste of materials.
  • the present application obtains planting plan data of the next plant of the current plant in the planting area; acquires planting information of the next plant; according to the planting information of the next plant and the next plant Planting plan data, generating planting task information for the next plant.
  • the application can carry out scientific planting according to the real-time planting situation of the planting area, and can avoid vacant planting area and waste of materials.
  • the above-described integrated unit implemented in the form of a software function module can be stored in a computer readable storage medium.
  • the software function module described above is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform the methods described in various embodiments of the present application. Part of the steps.
  • FIG. 3 is a schematic structural diagram of an electronic device according to a preferred embodiment of the present invention.
  • the electronic device 3 comprises at least one transmitting device 31, at least one memory 32, at least one processor 33, at least one receiving device 34 and at least one communication bus.
  • the communication bus is used to implement connection communication between these components.
  • the electronic device 3 is a device capable of automatically performing numerical calculation and/or information processing according to an instruction set or stored in advance, and the hardware includes but is not limited to a microprocessor and an application specific integrated circuit (ASIC). ), Field-Programmable Gate Array (FPGA), Digital Signal Processor (DSP), embedded devices, etc.
  • the electronic device 3 may also comprise a network device and/or a user device.
  • the network device includes, but is not limited to, a single network server, a server group composed of multiple network servers, or a cloud computing-based cloud composed of a large number of hosts or network servers, where the cloud computing is distributed computing.
  • a super virtual computer consisting of a group of loosely coupled computers.
  • the electronic device 3 can be, but is not limited to, any electronic product that can interact with a user through a keyboard, a touch pad, or a voice control device, such as a tablet, a smart phone, or a personal digital assistant (Personal Digital Assistant). , PDA), smart wearable devices, camera equipment, monitoring equipment and other terminals.
  • a keyboard e.g., a keyboard
  • a touch pad e.g., a touch pad
  • a voice control device such as a tablet, a smart phone, or a personal digital assistant (Personal Digital Assistant). , PDA), smart wearable devices, camera equipment, monitoring equipment and other terminals.
  • PDA Personal Digital Assistant
  • the network in which the electronic device 3 is located includes, but is not limited to, the Internet, a wide area network, a metropolitan area network, a local area network, a virtual private network (VPN), and the like.
  • the Internet includes, but is not limited to, the Internet, a wide area network, a metropolitan area network, a local area network, a virtual private network (VPN), and the like.
  • VPN virtual private network
  • the receiving device 34 and the transmitting device 31 may be wired transmission ports, or may be wireless devices, for example, including antenna devices, for performing data communication with other devices.
  • the memory 32 is used to store program code.
  • the memory 32 may be a circuit having a storage function, such as a RAM (Random-Access Memory), a FIFO (First In First Out), or the like, which has no physical form in the integrated circuit.
  • the memory 32 may also be a memory having a physical form, such as a memory stick, a TF card (Trans-flash Card), a smart media card, a secure digital card, a flash memory card.
  • Storage devices such as (flash card) and the like.
  • the processor 33 can include one or more microprocessors, digital processors.
  • the processor 33 can call program code stored in the memory 32 to perform related functions. For example, the various units described in FIG. 3 are program code stored in the memory 32 and executed by the processor 33 to implement a planting task generation method.
  • the processor 33 also known as a central processing unit (CPU), is a very large-scale integrated circuit, which is a computing core (Core) and a control unit (Control Unit).
  • the memory 32 in the electronic device 3 stores a plurality of instructions to implement a planting task generating method, and the processor 33 can execute the plurality of instructions to: obtain a current state of the planting area Planting plan data of the next plant of the plant; obtaining planting information of the next plant; generating the next one according to the planting information of the next plant and the planting plan data of the next plant Planting task information for plants.
  • the planting plan data of the next plant that acquires the current plant of the planting area includes one or more of the following:
  • the planting plan data of the plant corresponding to the pre-recorded planting time is obtained, and the obtained planting plan data is determined as the planting plan data of the next plant.
  • the planting planning data includes a planting sequence of the plurality of plants, obtaining growth stage data of the current plant, and when the growth stage data of the current plant reaches a pre-preparation
  • the next plant of the current plant is determined according to the planting order of the plurality of plants, and the planting plan data of the next plant is obtained.
  • the multiple instructions executed by the processor 33 further include:
  • the preset condition is determined according to the planting information of the next plant and/or the planting information of the current plant.
  • the method further comprises pre-storing planting information of the plurality of plants in the planting area.
  • the generating planting task information of the next plant according to the planting information of the next plant and the planting plan data of the next plant includes:
  • the method further includes:
  • the planting information for each plant stored is updated based on the growth monitoring data for each plant.
  • the multiple instructions executed by the processor 33 further include:
  • the abnormal data is sent to the corresponding grower.
  • modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional module in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of hardware plus software function modules.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

L'invention concerne un procédé et un appareil de génération de tâche de plantation. Le procédé comprend : l'acquisition de données de plan de plantation de la plante suivante de la plante actuelle dans une zone de plantation (S10) ; l'acquisition d'informations de plantation de la plante suivante (S11) ; et la génération d'informations de tâche de plantation de la plante suivante en fonction des informations de plantation de la plante suivante et des données de plan de plantation de la plante suivante (S12). Le procédé peut réaliser une plantation scientifique en fonction des conditions de plantation en temps réel d'une zone de plantation, et peut éviter l'inoccupation de la zone de plantation et le gaspillage de matières.
PCT/CN2018/085897 2017-10-30 2018-05-07 Procédé et appareil de génération de tâche de plantation, dispositif électronique et support d'informations WO2019085429A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201711041285.3 2017-10-30
CN201711041285.3A CN107728527A (zh) 2017-10-30 2017-10-30 种植任务生成方法、装置、电子设备及存储介质

Publications (1)

Publication Number Publication Date
WO2019085429A1 true WO2019085429A1 (fr) 2019-05-09

Family

ID=61202113

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2018/085897 WO2019085429A1 (fr) 2017-10-30 2018-05-07 Procédé et appareil de génération de tâche de plantation, dispositif électronique et support d'informations

Country Status (2)

Country Link
CN (1) CN107728527A (fr)
WO (1) WO2019085429A1 (fr)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107728527A (zh) * 2017-10-30 2018-02-23 深圳前海弘稼科技有限公司 种植任务生成方法、装置、电子设备及存储介质
CN108537371A (zh) * 2018-03-27 2018-09-14 深圳春沐源控股有限公司 一种生产预测方法及装置
CN109767347B (zh) * 2018-12-29 2021-01-26 山东丰信农业服务连锁有限公司 一种基于互联网及智能的农业种植管理系统

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106327347A (zh) * 2016-08-24 2017-01-11 通辽市绿云信息有限公司 农作物种植的辅助管理信息提供方法及系统
CN106613297A (zh) * 2017-03-01 2017-05-10 深圳春沐源农业科技有限公司 一种种植管理方法及装置
CN106960392A (zh) * 2017-03-15 2017-07-18 西安会泽计算机科技有限公司 一种面向中小种植者的种植技术服务系统及方法
CN107241403A (zh) * 2017-05-31 2017-10-10 深圳前海弘稼科技有限公司 推送方法及推送装置、服务器、设备和可读存储介质
CN107728527A (zh) * 2017-10-30 2018-02-23 深圳前海弘稼科技有限公司 种植任务生成方法、装置、电子设备及存储介质

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106327347A (zh) * 2016-08-24 2017-01-11 通辽市绿云信息有限公司 农作物种植的辅助管理信息提供方法及系统
CN106613297A (zh) * 2017-03-01 2017-05-10 深圳春沐源农业科技有限公司 一种种植管理方法及装置
CN106960392A (zh) * 2017-03-15 2017-07-18 西安会泽计算机科技有限公司 一种面向中小种植者的种植技术服务系统及方法
CN107241403A (zh) * 2017-05-31 2017-10-10 深圳前海弘稼科技有限公司 推送方法及推送装置、服务器、设备和可读存储介质
CN107728527A (zh) * 2017-10-30 2018-02-23 深圳前海弘稼科技有限公司 种植任务生成方法、装置、电子设备及存储介质

Also Published As

Publication number Publication date
CN107728527A (zh) 2018-02-23

Similar Documents

Publication Publication Date Title
WO2019085429A1 (fr) Procédé et appareil de génération de tâche de plantation, dispositif électronique et support d'informations
CN106657401A (zh) 一种基于物联网的农作物生长监测平台及其监测方法
US20180271029A1 (en) Automated plant management
JP2020529671A (ja) 土地管理のための携帯デバイス
US20220225583A1 (en) Management device for cultivation of fruit vegetable plants and fruit trees, learning device, management method for cultivation of fruit vegetable plants and fruit trees, learning model generation method, management program for cultivation of fruit vegetable plants and fruit trees, and learning model generation program
CN107808249A (zh) 种植任务管理方法、电子设备及计算机可读存储介质
CN110675094A (zh) 种植计划的制定方法、农业信息化管理系统及存储介质
CN113449917A (zh) 一种农业精准种植预警管理方法及系统
CN112200360A (zh) 植物生长重量预测方法、模型训练方法及装置
CN109597451A (zh) 蔬菜种植互动方法
WO2018009482A1 (fr) Système et procédé pour la gestion de cultures
TWM610801U (zh) 農作物生長週期與產量交互動態預測系統
WO2016121432A1 (fr) Système facilitant le transfert des compétences, procédé facilitant le transfert des compétences et support d'enregistrement lisible par ordinateur
JP2012039964A (ja) 農作業支援装置、農作業支援方法、及び農作業支援プログラム
CN106358807B (zh) 一种种植箱内植物生长过程的展示方法及系统
JP2018164408A (ja) 生育状況予測装置、方法及びプログラム
CN108391575A (zh) 一种基于大数据的农业管理系统
CN108171417B (zh) 种植任务调整方法、电子设备及存储介质
Prince et al. Iot based monitoring framework for a novel hydroponic farm
Patil et al. Krushi Samriddhi: a decision support system for farmers to get high crop yield
JPWO2016178314A1 (ja) 植物育成データ作成装置、植物育成システム、および植物育成データ作成プログラム
Jalali Potato (Solanum tuberosum L.) yield response to simulated hail damage
CN114332427A (zh) 一种基于数字孪生的监控农业生产的方法及装置
CN108230177A (zh) 一种植物种植体验方法、装置及系统
CN107242037B (zh) 一种植物根系生长过程网络直播方法及系统

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18872506

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 08/09/2020)

122 Ep: pct application non-entry in european phase

Ref document number: 18872506

Country of ref document: EP

Kind code of ref document: A1