WO2024080448A1 - Crop cultivation work instruction system - Google Patents

Crop cultivation work instruction system Download PDF

Info

Publication number
WO2024080448A1
WO2024080448A1 PCT/KR2022/020113 KR2022020113W WO2024080448A1 WO 2024080448 A1 WO2024080448 A1 WO 2024080448A1 KR 2022020113 W KR2022020113 W KR 2022020113W WO 2024080448 A1 WO2024080448 A1 WO 2024080448A1
Authority
WO
WIPO (PCT)
Prior art keywords
information
crop
pest
work
standard
Prior art date
Application number
PCT/KR2022/020113
Other languages
French (fr)
Korean (ko)
Inventor
정호진
Original Assignee
농업회사법인 주식회사 지인
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 농업회사법인 주식회사 지인 filed Critical 농업회사법인 주식회사 지인
Publication of WO2024080448A1 publication Critical patent/WO2024080448A1/en

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Forestry; Mining
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed
    • G01W1/06—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed giving a combined indication of weather conditions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W2203/00—Real-time site-specific personalized weather information, e.g. nowcasting

Definitions

  • the present invention relates to crop cultivation technology, and more specifically to a work instruction system for crop cultivation.
  • the crop cultivation process requires consideration of various factors such as the provision of fertilizers and spraying of pesticides, as well as the natural environment such as temperature, humidity, and amount of sunlight.
  • the natural environment such as temperature, humidity, and amount of sunlight.
  • smart farm technology that can control temperature, humidity, and sunlight is rapidly spreading.
  • automation technology technology for automatically spraying pesticides and fertilizers is in the commercialization stage, and technology for automatically harvesting crops using robots is also being spread.
  • the present invention is intended to provide a crop cultivation work instruction system capable of providing crop cultivation schedules and agricultural work instructions tailored to the crop growth environment, agricultural work environment, and farmer capabilities.
  • an information reception unit that receives user input information related to crop cultivation in conjunction with a crop cultivation application program (App) for farmers installed on a communication terminal used by the user;
  • An information collection unit that collects cultivation environment information and cultivation activity information as base information used to generate a work instruction schedule for crop cultivation from a remote external server and the crop cultivation application program for farmers;
  • Crop cultivation information DB database
  • Customized work instruction information that extracts a standard work schedule for the cultivated crop identified from the user input information from the crop cultivation information DB, and reflects at least one of the cultivation environment information and the cultivation activity information in the extracted standard work schedule.
  • an information processing unit that generates;
  • a crop cultivation work instruction system including a system operating unit that provides the user-customized work instruction information through the crop cultivation application program for farmers used by the corresponding user is provided.
  • crop cultivation operation instruction system it is possible to provide crop cultivation schedules and agricultural work instructions tailored to the crop growth environment, agricultural work environment, and farmer capabilities.
  • FIG. 1 is an overall system configuration diagram of a farming platform system capable of providing crop cultivation instructions according to an embodiment of the present invention.
  • FIG. 2 is a block diagram of an embodiment of the farming platform system of Figure 1.
  • Figures 3 to 5 are examples of app screens of crop cultivation applications installed on user terminals used by farmers, showing a farm information input screen, work instruction screen, and farming log screen, respectively.
  • FIG. 1 is an overall system configuration diagram of a farming platform system capable of instructing crop cultivation operations according to an embodiment of the present invention
  • FIG. 2 is a block diagram of an embodiment of the farming platform system of FIG. 1
  • FIG. 3 ⁇ Figure 5 is an example of an app screen of a crop cultivation application installed on a user terminal used by a farmer, showing a farm information input screen, a work instruction screen, and a farming log screen, respectively.
  • the farming platform system 100 includes a user terminal (see 10-1, 10-2, ... 10-N in FIG. 1, below) used by users who are crop growers or farmers. collectively referred to as reference number 10); and external information systems (see 200-1, 200-2, ... 200-N in FIG. 1, hereinafter collectively referred to as reference number 200) (e.g., Korea Meteorological Administration server, soil information management server, Statistics Korea server, Rural Development Administration server) etc.); through communication linkage, various data related to crop cultivation (i.e., temperature, humidity, wind volume, precipitation, snowfall, fine dust, soil, etc.), big data related to crop pests and diseases, and various information related to farming activities input from users. , data such as information related to crop cultivation can be collected or received.
  • a user terminal see 10-1, 10-2, ... 10-N in FIG. 1, below
  • external information systems see 200-1, 200-2, ... 200-N in FIG. 1, hereinafter collectively referred to as reference number 200
  • various data related to crop cultivation i.e
  • the farming platform system 100 includes an information reception unit 110, an information collection unit 120, an information processing unit 130, a system operation unit 140, and a farmer member DB ( database) (151), crop cultivation information DB (153), farming activity information DB (155), statistics DB (157), and pests DB (159).
  • a farmer member DB database
  • crop cultivation information DB 153
  • farming activity information DB 155
  • statistics DB 157
  • pests DB pests DB
  • the information receiver 110 is linked to a crop cultivation application program (App) for farmers installed on the communication terminal used by the user, and receives user input information related to crop cultivation (see the information input screen in FIG. 3, etc.).
  • App crop cultivation application program
  • the information collection unit 120 collects cultivation environment information and cultivation activity information as basic information used to create a work instruction schedule for crop cultivation from a remote external server and the crop cultivation application program for farmers.
  • the information processing unit 130 extracts a standard work schedule related to the cultivated crop identified from the user input information from the crop cultivation information DB 153, and includes among the cultivation environment information and the cultivation activity information in the extracted standard work schedule. Create user-customized work instruction information reflecting at least one. At this time, the crop cultivation information DB 153 stores a pre-designated standard work schedule for each cultivated crop.
  • the system operation unit 140 provides the user-customized work instruction information through the crop cultivation application program for farmers used by the user.
  • the information processing unit 130 calculates the maximum allowable work grace period interval that must be performed between individual tasks having a sequential relationship in the standard work schedule for cultivated crops, From the crop cultivation information DB 153, pre-designated standard weather information suitable for performing each of the individual tasks in the standard work schedule can be extracted.
  • the information processing unit 130 when considering the expected crop cultivation schedule confirmed from the user input information, performs the standard task based on the weather forecast information collected from the information collection unit 120 as the cultivation environment information. Determine a work date and time so that the individual tasks on the schedule are performed on a schedule that matches each of the reference weather information within the calculated work grace period interval, and each of the individual tasks according to the determined work date and time is the user-customized task. It can play a role in generating instruction information.
  • a statistical DB 157 that records work time information per cultivation area for each individual task as statistical workload information for each agricultural machinery equipment for crop cultivation work, professional farmer experience, and agricultural auxiliary manpower is used. More may be included.
  • the information processing unit 130 generates the statistical DB 157 based on the agricultural machinery equipment possession status information confirmed from the user input information as the cultivation environment information, the user's farmer career information, and additional available agricultural auxiliary manpower information. By extracting each statistical workload information and using each extracted statistical workload information and crop cultivation area information, the number of work days or work time information required to perform each of the individual tasks on the standard work schedule can be calculated. there is.
  • the information processing unit 130 performs individual tasks on the standard schedule in accordance with the expected crop cultivation schedule confirmed from the user input information, and recommends agricultural machinery equipment and additional input.
  • Recommended work order information including information on agricultural auxiliary personnel can be generated, and work day or work time information based on the generated recommended work order information can be reflected in the schedule plan.
  • the information processing unit 130 determines that in the case where the user and another farmer are cultivating the same crop in the same climate range and the same soil conditions as pre-designated by each other, the other farmer has excellent farming. If you are registered as a person or farming expert, and if the other farmer has a history of additionally performing preliminary pest control activities as cultivation activity information that is not included in the individual work in the standard work schedule, the prior pest control
  • the user-customized work instruction information can be generated by adding the preliminary pest control activity to the standard work schedule according to the time when the activity is performed.
  • a pest and disease DB 159 that stores big data on pests and diseases for each cultivated crop may be further included.
  • the big data on pests and diseases for each cultivated crop is recorded in a linked table that links data on crop name, pest description, pest and disease occurrence area and location, pest and disease occurrence period, pest and disease standard climate, pest and disease standard soil, and pest control method for each cultivated crop.
  • the standard pest climate data includes first standard climate data and second standard climate data obtained for each pest occurrence area.
  • the first standard climate data represents the average climate data of the first period obtained with the start date of the pest outbreak period as the starting point and a pre-designated first number of days before the start date of the pest outbreak period as the end point.
  • the second standard climate data starts from a pre-specified second number of days before the end date of the pest outbreak period, and represents the average climate data of the second period obtained with the end date of the pest outbreak period as the end point. .
  • the average climate data is divided into the median value of the daily highest values, the median daily average values, and the median daily lowest values for each category of temperature, humidity, wind volume, precipitation, snowfall, and fine dust, respectively. It is recorded.
  • the standard soil data for pests and diseases includes soil data on soil properties obtained for each area where the pests and diseases occur.
  • the information processing unit 130 analyzes the risk of developing pests and diseases for specific crops based on the climate and soil of the region for each crop cultivation area, based on the standard pest climate data and the standard pest soil data, and analyzes the risk of pests and diseases occurring for a specific crop to determine climate- Create a soil-crop-pests correlation table, calculate the pest control effect by region, climate, and soil when the pest control method is introduced, and calculate the climate-soil-crop-pests correlation table and pest control method. -By matching pest control effects, it is possible to provide customized control methods for each region/climate/soil.
  • the information processing unit 130 determines that, under the same crop and the same soil conditions, based on the crop cultivation area environmental information received from the crop cultivation application program for farmers, the climatic conditions of the crop cultivation area are determined to prevent specific pests and diseases for more than a predetermined number of days. If it is confirmed to be consistent with the first standard climate data as a prognostic condition corresponding to the incubation period of occurrence, the risk of occurrence of the relevant pest and disease and measures to prevent the pest can be notified in advance.
  • the information processing unit 130 calculates a change trend in the time series representative value of the first standard climate data as the prognostic condition corresponding to the incubation period of the pest occurrence under the same crop and the same soil conditions, and calculates the calculated By extracting regions that show climate change that is close to the change trend, the expected spread area and regional direction of spread of the pest can be calculated.
  • the information processing unit 130 generates the user-customized work instruction information in the case of cultivated crops located in an area where pests and diseases are expected to occur according to the expected spread area and regional direction of spread of the pests and pests. Can be added as an individual task on the standard work schedule.

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Environmental & Geological Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Primary Health Care (AREA)
  • Game Theory and Decision Science (AREA)
  • Atmospheric Sciences (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Environmental Sciences (AREA)
  • Ecology (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Agronomy & Crop Science (AREA)
  • Data Mining & Analysis (AREA)
  • Animal Husbandry (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Mining & Mineral Resources (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Cultivation Of Plants (AREA)

Abstract

The present invention is to provide a crop cultivation work instruction system. According to the crop cultivation work instruction system in accordance with embodiments of the present invention, crop cultivation schedules and agricultural work tailored to a crop growth environment, an agricultural work environment, and farmer capacity can be instructed, and crop cultivation methods and schedules of other farmers who have produced excellent harvest results under the same environmental conditions such as the same climate and the same soil for the same crop are benchmarked and guided, and accordingly, crop cultivation technology can be more effectively disseminated.

Description

작물 재배 작업 지시 시스템Crop cultivation work instruction system
본 발명은 작물 재배 기술에 관한 것으로서, 보다 구체적으로는 작물 재배를 위한 작업 지시 시스템에 관한 것이다.The present invention relates to crop cultivation technology, and more specifically to a work instruction system for crop cultivation.
농작물의 재배 과정에는 온도, 습도, 일조량과 같은 자연 환경뿐만 아니라, 비료의 제공, 농약의 살포 등과 같은 다양한 요소의 고려가 필요하다. 최근 농업 기술의 발달로 온도, 습도, 일조량의 조절이 가능한 스마트 팜 기술이 빠르게 보급되고 있다. 나아가, 자동화 기술의 발달로 자동으로 농약이나 비료의 살포가 되고 있는 기술이 상용화 단계에 이루고 있으며, 로봇에 의하여 자동으로 작물을 수확하는 기술까지 보급되고 있다.The crop cultivation process requires consideration of various factors such as the provision of fertilizers and spraying of pesticides, as well as the natural environment such as temperature, humidity, and amount of sunlight. With the recent development of agricultural technology, smart farm technology that can control temperature, humidity, and sunlight is rapidly spreading. Furthermore, with the development of automation technology, technology for automatically spraying pesticides and fertilizers is in the commercialization stage, and technology for automatically harvesting crops using robots is also being spread.
이러한 자동화 설비에도 불구하고 작물의 재배의 전 단계에서는 농부의 환경 판단과 환경 고려가 필요하다. 즉, 농업의 자동화와 무관하게 농부의 개인적인 역량에 따라 작물의 재배 성공 여부가 달라지는 문제점이 있다.Despite these automated facilities, the farmer's environmental judgment and environmental consideration are required at all stages of crop cultivation. In other words, regardless of agricultural automation, there is a problem that the success or failure of crop cultivation depends on the individual capabilities of the farmer.
또한, 경험이 많은 농부라도 특정 정보를 가지지 않고 의사결정을 하거나, 소정의 사항을 고려하지 않고 의사결정을 하는 경우 작물의 재배를 망칠 우려가 있다.In addition, even experienced farmers may ruin crop cultivation if they make decisions without specific information or without considering certain factors.
최근, 귀농 인구가 급격이 증가하고 있고, 기온이 온난화됨에 따라 유례없이 긴 장마, 혹독히 추운 겨울 기온으로 인한 심각한 농작물 피해가 발생하고 있으며, 2019년부터 도입된 농약허용기준강화(PLS) 제도 등 급격한 농업 환경의 변화가 일어나고 있다. 따라서, 농사경험이 적어 재배 지식이 없는 귀농자들은 물론 재배 지식 및 경험이 많은 농부들의 경우에도, 정확한 재배작물과 재배환경에 따른 대응, 재배시 병해의 판별과 대응 등에 매우 어려움을 겪고 있으며, 많은 실패를 거듭하고 나서 일부 작물에 대한 재배 노하우를 얻게 되는 등의 문제가 빈번한바, 보다 정보화시대에 맞는 효율화한 농업지식의 공유의 필요성이 커지고 있다.Recently, the population returning to farming is rapidly increasing, and as temperatures are warming, serious crop damage is occurring due to the unprecedentedly long rainy season and harshly cold winter temperatures, and the Strengthened Pesticide Standards (PLS) system introduced in 2019, etc. Rapid changes are occurring in the agricultural environment. Therefore, not only returning farmers with little farming experience and no knowledge of cultivation, but also farmers with a lot of cultivation knowledge and experience are having great difficulties in responding to the correct crop and cultivation environment, and identifying and responding to diseases during cultivation. As problems such as obtaining cultivation know-how for some crops after repeated failures are frequent, the need for sharing efficient agricultural knowledge suitable for the information age is increasing.
본 발명은 작물 생육 환경, 농작업 환경, 농업인 역량에 맞춘 작물 재배 스케쥴 및 농작업 지시가 가능한 작물 재배 작업 지시 시스템을 제공하기 위한 것이다.The present invention is intended to provide a crop cultivation work instruction system capable of providing crop cultivation schedules and agricultural work instructions tailored to the crop growth environment, agricultural work environment, and farmer capabilities.
본 발명의 일 측면에 따르면, 사용자가 사용하는 통신 단말에 설치된 농업인용 작물 재배 애플리케이션 프로그램(App)과 연동되어, 작물 재배와 관련된 사용자 입력 정보를 수신하는 정보 수신부; 작물 재배에 관한 작업 지시 스케쥴을 생성하는데 이용되는 기반 정보로서 재배 환경 정보 및 재배 활동 정보를 원격의 외부 서버 및 상기 농업인용 작물 재배 애플리케이션 프로그램으로부터 수집하는 정보 수집부; 재배 작물 별로 표준 작업 스케쥴을 저장하는 작물 재배 정보 DB(database); 상기 사용자 입력 정보로부터 확인되는 재배 작물에 관한 표준 작업 스케쥴을 상기 작물 재배 정보 DB로부터 추출하고, 상기 추출된 표준 작업 스케쥴에 상기 재배 환경 정보 및 상기 재배 활동 정보 중 적어도 하나를 반영한 사용자 맞춤형 작업 지시 정보를 생성하는 정보 처리부; 상기 사용자 맞춤형 작업 지시 정보를 해당 사용자가 이용하는 상기 농업인용 작물 재배 애플리케이션 프로그램을 통해 제공하는 시스템 운영부;를 포함하는 작물 재배 작업 지시 시스템이 제공된다.According to one aspect of the present invention, an information reception unit that receives user input information related to crop cultivation in conjunction with a crop cultivation application program (App) for farmers installed on a communication terminal used by the user; An information collection unit that collects cultivation environment information and cultivation activity information as base information used to generate a work instruction schedule for crop cultivation from a remote external server and the crop cultivation application program for farmers; Crop cultivation information DB (database) that stores standard work schedules for each cultivated crop; Customized work instruction information that extracts a standard work schedule for the cultivated crop identified from the user input information from the crop cultivation information DB, and reflects at least one of the cultivation environment information and the cultivation activity information in the extracted standard work schedule. an information processing unit that generates; A crop cultivation work instruction system including a system operating unit that provides the user-customized work instruction information through the crop cultivation application program for farmers used by the corresponding user is provided.
본 발명의 실시예에 따른 작물 재배 작업 지시 시스템에 의하면, 작물 생육 환경, 농작업 환경, 농업인 역량에 맞춘 작물 재배 스케쥴 및 농작업 지시가 가능한 효과가 있다.According to the crop cultivation operation instruction system according to an embodiment of the present invention, it is possible to provide crop cultivation schedules and agricultural work instructions tailored to the crop growth environment, agricultural work environment, and farmer capabilities.
또한, 본 발명의 실시예에 따른 작물 재배 작업 지시 시스템에 의하면, 동일 작물에 관한 동일 기후, 동일 토양 등의 환경 조건에서 우수한 수확 결과를 낸 타 농업인의 작물 재배 방식 및 스케쥴을 벤치마킹 안내함으로써, 작물 재배 기술을 보다 효과적으로 전파할 수 있는 이점이 있다.In addition, according to the crop cultivation work instruction system according to an embodiment of the present invention, by benchmarking and guiding the crop cultivation methods and schedules of other farmers who have achieved excellent harvest results under environmental conditions such as the same climate and the same soil for the same crop, There is an advantage in that cultivation technology can be disseminated more effectively.
도 1은 본 발명의 실시예에 따른 작물 재배 작업 지시가 가능한 영농 플랫폼 시스템에 관한 전반적인 시스템 구성도.1 is an overall system configuration diagram of a farming platform system capable of providing crop cultivation instructions according to an embodiment of the present invention.
도 2는 도 1의 영농 플랫폼 시스템에 관한 일 실시예의 블록 구성도.Figure 2 is a block diagram of an embodiment of the farming platform system of Figure 1.
도 3 ~ 도 5는 농업인이 사용하는 사용자 단말에 설치된 작물 재배용 애플리케이션의 앱 화면 예시로서, 각각 농장 정보 입력 화면, 작업 지시 화면, 영농 일지 화면을 도시한 도면들.Figures 3 to 5 are examples of app screens of crop cultivation applications installed on user terminals used by farmers, showing a farm information input screen, work instruction screen, and farming log screen, respectively.
본 발명은 다양한 변환을 가할 수 있고 여러 가지 실시예를 가질 수 있는 바, 특정 실시예들을 도면에 예시하고 상세한 설명에 상세하게 설명하고자 한다. 그러나, 이는 본 발명을 특정한 실시 형태에 대해 한정하려는 것이 아니며, 본 발명의 사상 및 기술 범위에 포함되는 모든 변환, 균등물 내지 대체물을 포함하는 것으로 이해되어야 한다.Since the present invention can be modified in various ways and can have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all transformations, equivalents, and substitutes included in the spirit and technical scope of the present invention.
본 발명을 설명함에 있어서, 관련된 공지 기술에 대한 구체적인 설명이 본 발명의 요지를 불필요하게 흐릴 수 있다고 판단되는 경우 그 상세한 설명을 생략한다. 또한, 본 명세서의 설명 과정에서 이용되는 숫자(예를 들어, 제1, 제2 등)는 하나의 구성요소를 다른 구성요소와 구분하기 위한 식별기호에 불과하다.In describing the present invention, if it is determined that a detailed description of related known technologies may unnecessarily obscure the gist of the present invention, the detailed description will be omitted. In addition, numbers (eg, first, second, etc.) used in the description of this specification are merely identifiers to distinguish one component from another component.
또한, 명세서 전체에서, 일 구성요소가 다른 구성요소와 "연결된다" 거나 "접속된다" 등으로 언급된 때에는, 상기 일 구성요소가 상기 다른 구성요소와 직접 연결되거나 또는 직접 접속될 수도 있지만, 특별히 반대되는 기재가 존재하지 않는 이상, 중간에 또 다른 구성요소를 매개하여 연결되거나 또는 접속될 수도 있다고 이해되어야 할 것이다. 또한, 명세서 전체에서, 어떤 부분이 어떤 구성요소를 "포함"한다고 할 때, 이는 특별히 반대되는 기재가 없는 한 다른 구성요소를 제외하는 것이 아니라 다른 구성요소를 더 포함할 수 있는 것을 의미한다. 또한, 명세서에 기재된 "부", "모듈" 등의 용어는 적어도 하나의 기능이나 동작을 처리하는 단위를 의미하며, 이는 하나 이상의 하드웨어나 소프트웨어 또는 하드웨어 및 소프트웨어의 조합으로 구현될 수 있음을 의미한다.In addition, throughout the specification, when a component is referred to as "connected" or "connected" to another component, the component may be directly connected or directly connected to the other component, but in particular Unless there is a contrary description, it should be understood that it may be connected or connected through another component in the middle. In addition, throughout the specification, when a part "includes" a certain element, this means that it may further include other elements rather than excluding other elements, unless specifically stated to the contrary. In addition, terms such as “unit” and “module” used in the specification mean a unit that processes at least one function or operation, which means that it can be implemented with one or more hardware or software or a combination of hardware and software. .
이하, 첨부된 도면들을 참조하여 본 발명의 실시예를 상세히 설명한다. Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.
여기서, 도 1은 본 발명의 실시예에 따른 작물 재배 작업 지시가 가능한 영농 플랫폼 시스템에 관한 전반적인 시스템 구성도이고, 도 2는 도 1의 영농 플랫폼 시스템에 관한 일 실시예의 블록 구성도이며, 도 3 ~ 도 5는 농업인이 사용하는 사용자 단말에 설치된 작물 재배용 애플리케이션의 앱 화면 예시로서, 각각 농장 정보 입력 화면, 작업 지시 화면, 영농 일지 화면을 도시한 도면들이다.Here, FIG. 1 is an overall system configuration diagram of a farming platform system capable of instructing crop cultivation operations according to an embodiment of the present invention, FIG. 2 is a block diagram of an embodiment of the farming platform system of FIG. 1, and FIG. 3 ~ Figure 5 is an example of an app screen of a crop cultivation application installed on a user terminal used by a farmer, showing a farm information input screen, a work instruction screen, and a farming log screen, respectively.
도 1을 참조하면, 본 발명의 실시예에 따른 영농 플랫폼 시스템(100)은, 작물 재배자 또는 농업인인 사용자가 이용하는 사용자 단말(도 1의 10-1, 10-2, … 10-N 참조, 이하 도면부호 10번으로 통칭함); 및 외부 정보 시스템(도 1의 200-1, 200-2, … 200-N 참조, 이하 도면부호 200번으로 통칭함)(예를 들어, 기상청 서버, 토양정보 관리서버, 통계청 서버, 농촌진흥청 서버 등);과 통신 연동을 통해서 작물 재배와 관련된 각종 데이터(즉, 온도, 습도, 풍량, 강수, 강설, 미세먼지, 토양 등), 작물 병충해 관련 빅데이터, 및 사용자로부터 입력된 각종 영농활동 관련 정보, 작물 재배 관련 정보 등의 데이터를 수집 또는 수신할 수 있다.Referring to FIG. 1, the farming platform system 100 according to an embodiment of the present invention includes a user terminal (see 10-1, 10-2, ... 10-N in FIG. 1, below) used by users who are crop growers or farmers. collectively referred to as reference number 10); and external information systems (see 200-1, 200-2, … 200-N in FIG. 1, hereinafter collectively referred to as reference number 200) (e.g., Korea Meteorological Administration server, soil information management server, Statistics Korea server, Rural Development Administration server) etc.); through communication linkage, various data related to crop cultivation (i.e., temperature, humidity, wind volume, precipitation, snowfall, fine dust, soil, etc.), big data related to crop pests and diseases, and various information related to farming activities input from users. , data such as information related to crop cultivation can be collected or received.
또한, 본 발명에서, 영농 플랫폼 시스템(100)는 도 2에 도시된 바와 같이, 정보 수신부(110), 정보 수집부(120), 정보 처리부(130), 시스템 운영부(140), 농업인 회원 DB(database)(151), 작물 재배 정보 DB(153), 영농 활동 정보 DB(155), 통계 DB(157), 병충해 DB(159)를 포함하여 구현될 수 있다.In addition, in the present invention, the farming platform system 100, as shown in FIG. 2, includes an information reception unit 110, an information collection unit 120, an information processing unit 130, a system operation unit 140, and a farmer member DB ( database) (151), crop cultivation information DB (153), farming activity information DB (155), statistics DB (157), and pests DB (159).
정보 수신부(110)는 사용자가 사용하는 통신 단말에 설치된 농업인용 작물 재배 애플리케이션 프로그램(App)과 연동되어, 작물 재배와 관련된 사용자 입력 정보를 수신한다(도 3의 정보 입력 화면 등 참조).The information receiver 110 is linked to a crop cultivation application program (App) for farmers installed on the communication terminal used by the user, and receives user input information related to crop cultivation (see the information input screen in FIG. 3, etc.).
정보 수집부(120)는 작물 재배에 관한 작업 지시 스케쥴을 생성하는데 이용되는 기반 정보로서 재배 환경 정보 및 재배 활동 정보를 원격의 외부 서버 및 상기 농업인용 작물 재배 애플리케이션 프로그램으로부터 수집한다.The information collection unit 120 collects cultivation environment information and cultivation activity information as basic information used to create a work instruction schedule for crop cultivation from a remote external server and the crop cultivation application program for farmers.
정보 처리부(130)는 상기 사용자 입력 정보로부터 확인되는 재배 작물에 관한 표준 작업 스케쥴을 상기 작물 재배 정보 DB(153)로부터 추출하고, 상기 추출된 표준 작업 스케쥴에 상기 재배 환경 정보 및 상기 재배 활동 정보 중 적어도 하나를 반영한 사용자 맞춤형 작업 지시 정보를 생성한다. 이때, 작물 재배 정보 DB(153)는 재배 작물 별로 사전 지정된 표준 작업 스케쥴을 저장하고 있다.The information processing unit 130 extracts a standard work schedule related to the cultivated crop identified from the user input information from the crop cultivation information DB 153, and includes among the cultivation environment information and the cultivation activity information in the extracted standard work schedule. Create user-customized work instruction information reflecting at least one. At this time, the crop cultivation information DB 153 stores a pre-designated standard work schedule for each cultivated crop.
시스템 운영부(140)는 상기 사용자 맞춤형 작업 지시 정보를 해당 사용자가 이용하는 상기 농업인용 작물 재배 애플리케이션 프로그램을 통해 제공한다.The system operation unit 140 provides the user-customized work instruction information through the crop cultivation application program for farmers used by the user.
이하, 본 발명의 각 실시예들을 보다 구체적으로 설명하면 다음과 같다.Hereinafter, each embodiment of the present invention will be described in more detail as follows.
본 발명의 실시예에서, 정보 처리부(130)는, 재배 작물에 관한 상기 표준 작업 스케쥴 상에서 시계열적 순서에 따른 선후 관계를 갖는 개별 작업들 간이 수행되어야 하는 최대 허용치의 작업 유예 기간 간격을 산출하고, 상기 작물 재배 정보 DB(153)로부터 상기 표준 작업 스케쥴 상의 상기 개별 작업들이 각각 수행되는데 적합한 것으로 사전 지정해둔 기준 날씨 정보를 추출할 수 있다.In an embodiment of the present invention, the information processing unit 130 calculates the maximum allowable work grace period interval that must be performed between individual tasks having a sequential relationship in the standard work schedule for cultivated crops, From the crop cultivation information DB 153, pre-designated standard weather information suitable for performing each of the individual tasks in the standard work schedule can be extracted.
이에 따라, 정보 처리부(130)는, 상기 사용자 입력 정보로부터 확인되는 작물 재배 예상 일정을 고려하였을 때, 상기 재배 환경 정보로서 정보 수집부(120)로부터 수집되는 날씨 예보 정보에 기초하여, 상기 표준 작업 스케쥴 상의 상기 개별 작업들이 상기 산출된 작업 유예 기간 간격 내에서 각각의 상기 기준 날씨 정보에 부합되는 일정에 수행되도록 하는 작업 일시를 결정하고, 상기 결정된 작업 일시에 따라 상기 개별 작업들이 각각 상기 사용자 맞춤형 작업 지시 정보로서 생성되도록 하는 역할을 수행할 수 있다.Accordingly, when considering the expected crop cultivation schedule confirmed from the user input information, the information processing unit 130 performs the standard task based on the weather forecast information collected from the information collection unit 120 as the cultivation environment information. Determine a work date and time so that the individual tasks on the schedule are performed on a schedule that matches each of the reference weather information within the calculated work grace period interval, and each of the individual tasks according to the determined work date and time is the user-customized task. It can play a role in generating instruction information.
또한, 본 발명의 실시예에 의할 때, 작물 재배 작업용 농기계 장비 별, 전문 농업인 업력 별, 농업 보조 인력 별 통계적 작업량 정보로서 재배 면적 당 작업 시간 정보를 상기 개별 작업 별로 기록한 통계 DB(157)를 더 포함할 수 있다.In addition, according to an embodiment of the present invention, a statistical DB 157 that records work time information per cultivation area for each individual task as statistical workload information for each agricultural machinery equipment for crop cultivation work, professional farmer experience, and agricultural auxiliary manpower is used. More may be included.
이 경우, 정보 처리부(130)는, 상기 재배 환경 정보로서 상기 사용자 입력 정보로부터 확인되는 농기계 장비 보유 현황 정보, 해당 사용자의 농업인 업력 정보, 추가 가용 농업 보조 인력 정보에 기초하여 상기 통계 DB(157)로부터 각각의 통계적 작업량 정보를 추출하고, 추출된 각각의 통계적 작업량 정보 및 작물 재배 면적 정보를 이용하여, 상기 표준 작업 스케쥴 상의 상기 개별 작업들 각각을 수행하는데 소요될 작업 일수 또는 작업 시간 정보를 산출할 수 있다.In this case, the information processing unit 130 generates the statistical DB 157 based on the agricultural machinery equipment possession status information confirmed from the user input information as the cultivation environment information, the user's farmer career information, and additional available agricultural auxiliary manpower information. By extracting each statistical workload information and using each extracted statistical workload information and crop cultivation area information, the number of work days or work time information required to perform each of the individual tasks on the standard work schedule can be calculated. there is.
이에 딸, 정보 처리부(130)는, 상기 사용자 맞춤형 작업 지시 정보를 생성함에 있어서, 상기 사용자 입력 정보로부터 확인되는 작물 재배 예상 일정에 맞춰 상기 표준 스케쥴 상의 개별 작업이 수행되는데 권장되는 농기계 장비, 추가 투입 농업 보조 인력에 관한 정보를 포함하는 권장 작업 지시 정보를 생성하고, 생성된 권장 작업 지시 정보에 의할 때의 작업 일수 또는 작업 시간 정보를 일정 계획에 반영할 수 있다.Accordingly, in generating the user-customized work instruction information, the information processing unit 130 performs individual tasks on the standard schedule in accordance with the expected crop cultivation schedule confirmed from the user input information, and recommends agricultural machinery equipment and additional input. Recommended work order information including information on agricultural auxiliary personnel can be generated, and work day or work time information based on the generated recommended work order information can be reflected in the schedule plan.
또한, 본 발명의 실시예에 의할 때, 정보 처리부(130)는, 사용자와 타 농업인이 상호 간 사전 지정된 동일 기후 범위 및 동일 토양 조건에서 동일한 작물을 재배하고 있는 경우로서 상기 타 농업인이 우수 영농인 또는 영농 전문가로서 등록되어 있는 경우에 해당하고, 상기 타 농업인이 상기 표준 작업 스케쥴 상의 개별 작업에는 포함되지 않는 재배 활동 정보로서 사전 병충해 방제 활동을 추가 수행한 이력이 존재하는 경우, 상기 사전 병충해 방제 활동이 수행된 시점에 맞춰 상기 표준 작업 스케쥴 내에 상기 사전 병충해 방제 활동을 추가한 상기 사용자 맞춤형 작업 지시 정보를 생성할 수 있다.In addition, according to an embodiment of the present invention, the information processing unit 130 determines that in the case where the user and another farmer are cultivating the same crop in the same climate range and the same soil conditions as pre-designated by each other, the other farmer has excellent farming. If you are registered as a person or farming expert, and if the other farmer has a history of additionally performing preliminary pest control activities as cultivation activity information that is not included in the individual work in the standard work schedule, the prior pest control The user-customized work instruction information can be generated by adding the preliminary pest control activity to the standard work schedule according to the time when the activity is performed.
또한, 본 발명의 실시예에 의할 때, 재배 작물 별 병충해 빅데이터를 저장하는 병충해 DB(159)를 더 포함할 수 있다.In addition, according to an embodiment of the present invention, a pest and disease DB 159 that stores big data on pests and diseases for each cultivated crop may be further included.
상기 재배 작물 별 병충해 빅데이터는, 작물명, 병충해명, 병충해 발생지역 및 위치, 병충해 발생기간, 병충해 표준기후, 병충해 표준토양, 재배 작물 별 병충해 방제방법에 관한 데이터가 연계된 연계 테이블로 기록된다.The big data on pests and diseases for each cultivated crop is recorded in a linked table that links data on crop name, pest description, pest and disease occurrence area and location, pest and disease occurrence period, pest and disease standard climate, pest and disease standard soil, and pest control method for each cultivated crop.
상기 병충해 표준기후 데이터는, 상기 병충해 발생지역 별로 획득되는 제1 표준 기후 데이터 및 제2 표준 기후 데이터를 포함한다.The standard pest climate data includes first standard climate data and second standard climate data obtained for each pest occurrence area.
상기 제1 표준 기후 데이터는, 상기 병충해 발생기간의 시작일로부터 사전 지정된 제1 일수 이전의 시점을 기점으로 하고, 상기 병충해 발생기간의 시작일을 종점으로 하여 획득되는 제1 기간의 평균 기후 데이터를 나타낸다.The first standard climate data represents the average climate data of the first period obtained with the start date of the pest outbreak period as the starting point and a pre-designated first number of days before the start date of the pest outbreak period as the end point.
상기 제2 표준 기후 데이터는, 상기 병충해 발생기간의 종료일로부터 사전 지정된 제2 일수 이전 이전의 시점을 기점으로 하고, 상기 병충해 발생기간의 종료일을 종점으로 하여 획득되는 제2 기간의 평균 기후 데이터를 나타낸다.The second standard climate data starts from a pre-specified second number of days before the end date of the pest outbreak period, and represents the average climate data of the second period obtained with the end date of the pest outbreak period as the end point. .
상기 평균 기후 데이터는, 각각, 온도, 습도, 풍량, 강수, 강설, 미세먼지의 분류 별로, 해당 기간 동안의 일별 최고치들의 중간값(median value), 일별 평균치들의 중간값, 일별 최저치들의 중간값으로 기록된다.The average climate data is divided into the median value of the daily highest values, the median daily average values, and the median daily lowest values for each category of temperature, humidity, wind volume, precipitation, snowfall, and fine dust, respectively. It is recorded.
상기 병충해 표준토양 데이터는, 상기 병충해 발생지역 별로 획득되는 토양의 성질에 관한 토성 데이터를 포함한다.The standard soil data for pests and diseases includes soil data on soil properties obtained for each area where the pests and diseases occur.
이때, 정보 처리부(130)는, 상기 병충해 표준기후 데이터와 상기 병충해 표준토양 데이터에 근거하여, 작물 재배지별 해당 지역의 기후 및 토성에 의할 때, 특정 작물에 관한 병충해 발생 위험성을 분석하여 기후-토성-작물-병충해 연관 테이블을 생성하고, 상기 병충해 방제방법이 도입되었을 때의 지역별, 기후별, 토성별로의 병충해 방제효과를 통계 산출하고, 상기 기후-토성-작물-병충해 연관 테이블과 병충해 방제방법-병충해 방제효과를 매칭함으로써, 지역/기후/토성별 맞춤형 방제방법을 제공할 수 있다.At this time, the information processing unit 130 analyzes the risk of developing pests and diseases for specific crops based on the climate and soil of the region for each crop cultivation area, based on the standard pest climate data and the standard pest soil data, and analyzes the risk of pests and diseases occurring for a specific crop to determine climate- Create a soil-crop-pests correlation table, calculate the pest control effect by region, climate, and soil when the pest control method is introduced, and calculate the climate-soil-crop-pests correlation table and pest control method. -By matching pest control effects, it is possible to provide customized control methods for each region/climate/soil.
또한 이때, 정보 처리부(130)는, 동일 작물 및 동일 토양 조건 하에서, 상기 농업인용 작물 재배 애플리케이션 프로그램으로부터 수신되는 작물재배지 환경정보에 근거할 때, 해당 작물재배지의 기후조건이 사전 지정된 일수 이상 특정 병충해 발생의 잠복기간에 해당하는 예후 조건으로서의 상기 제1 표준 기후 데이터와 일치하는 것으로 확인되는 경우, 해당 병충해 발생 위험성 및 병충해 예방을 위한 조치를 사전에 알람 통지할 수 있다.Also, at this time, the information processing unit 130 determines that, under the same crop and the same soil conditions, based on the crop cultivation area environmental information received from the crop cultivation application program for farmers, the climatic conditions of the crop cultivation area are determined to prevent specific pests and diseases for more than a predetermined number of days. If it is confirmed to be consistent with the first standard climate data as a prognostic condition corresponding to the incubation period of occurrence, the risk of occurrence of the relevant pest and disease and measures to prevent the pest can be notified in advance.
또한 이때, 정보 처리부(130)는, 동일 작물 및 동일 토양 조건 하에서, 상기 병충해 발생의 잠복기간에 해당하는 상기 예후 조건으로서의 상기 제1 표준 기후 데이터의 시계열적 대표값의 변화 추이를 산출하고, 산출된 변화 추이에 근접한 기후 변화를 나타내는 지역을 추출함으로써, 해당 병충해의 전파 예상 지역 및 지역적 전파 방향을 산출할 수 있다.Also, at this time, the information processing unit 130 calculates a change trend in the time series representative value of the first standard climate data as the prognostic condition corresponding to the incubation period of the pest occurrence under the same crop and the same soil conditions, and calculates the calculated By extracting regions that show climate change that is close to the change trend, the expected spread area and regional direction of spread of the pest can be calculated.
이에 따라, 정보 처리부(130)는, 상기 병충해의 전파 예상 지역 및 지역적 전파 방향에 따라 병충해 발생이 예상되는 지역에 위치하는 재배 작물의 경우, 상기 사용자 맞춤형 작업 지시 정보를 생성함에 있어서 상기 병충해 방제 방법을 상기 표준 작업 스케쥴 상의 개별 작업으로서 추가할 수 있다.Accordingly, the information processing unit 130 generates the user-customized work instruction information in the case of cultivated crops located in an area where pests and diseases are expected to occur according to the expected spread area and regional direction of spread of the pests and pests. Can be added as an individual task on the standard work schedule.
이상에서는 본 발명의 실시예를 참조하여 설명하였지만, 해당 기술 분야에서 통상의 지식을 가진 자라면 하기의 특허 청구의 범위에 기재된 본 발명의 사상 및 영역으로부터 벗어나지 않는 범위 내에서 본 발명을 다양하게 수정 및 변경시킬 수 있음을 쉽게 이해할 수 있을 것이다.Although the present invention has been described above with reference to embodiments, those skilled in the art can modify the present invention in various ways without departing from the spirit and scope of the present invention as set forth in the claims below. It will be easy to understand that and can be changed.

Claims (6)

  1. 작물 재배 작업 지시 시스템으로서,As a crop cultivation operation instruction system,
    사용자가 사용하는 통신 단말에 설치된 농업인용 작물 재배 애플리케이션 프로그램(App)과 연동되어, 작물 재배와 관련된 사용자 입력 정보를 수신하는 정보 수신부;An information receiver that is linked to a crop cultivation application program (App) for farmers installed on the communication terminal used by the user and receives user input information related to crop cultivation;
    작물 재배에 관한 작업 지시 스케쥴을 생성하는데 이용되는 기반 정보로서 재배 환경 정보 및 재배 활동 정보를 원격의 외부 서버 및 상기 농업인용 작물 재배 애플리케이션 프로그램으로부터 수집하는 정보 수집부;An information collection unit that collects cultivation environment information and cultivation activity information as base information used to generate a work instruction schedule for crop cultivation from a remote external server and the crop cultivation application program for farmers;
    재배 작물 별로 표준 작업 스케쥴을 저장하는 작물 재배 정보 DB(database);Crop cultivation information DB (database) that stores standard work schedules for each cultivated crop;
    상기 사용자 입력 정보로부터 확인되는 재배 작물에 관한 표준 작업 스케쥴을 상기 작물 재배 정보 DB로부터 추출하고, 상기 추출된 표준 작업 스케쥴에 상기 재배 환경 정보 및 상기 재배 활동 정보 중 적어도 하나를 반영한 사용자 맞춤형 작업 지시 정보를 생성하는 정보 처리부;Customized work instruction information that extracts a standard work schedule for the cultivated crop identified from the user input information from the crop cultivation information DB, and reflects at least one of the cultivation environment information and the cultivation activity information in the extracted standard work schedule. an information processing unit that generates;
    상기 사용자 맞춤형 작업 지시 정보를 해당 사용자가 이용하는 상기 농업인용 작물 재배 애플리케이션 프로그램을 통해 제공하는 시스템 운영부;a system operation unit that provides the user-customized work instruction information through the crop cultivation application program for farmers used by the user;
    를 포함하는 작물 재배 작업 지시 시스템.A crop cultivation operation instruction system including a.
  2. 제1항에 있어서,According to paragraph 1,
    상기 정보 처리부는,The information processing department,
    재배 작물에 관한 상기 표준 작업 스케쥴 상에서 시계열적 순서에 따른 선후 관계를 갖는 개별 작업들 간이 수행되어야 하는 최대 허용치의 작업 유예 기간 간격을 산출하고, 상기 작물 재배 정보 DB로부터 상기 표준 작업 스케쥴 상의 상기 개별 작업들이 각각 수행되는데 적합한 것으로 사전 지정해둔 기준 날씨 정보를 추출하고,Calculate the maximum allowable work grace period interval that must be performed between individual tasks that have a sequential relationship in a time-serial order on the standard work schedule for cultivated crops, and calculate the individual tasks on the standard work schedule from the crop cultivation information DB. extracts pre-designated standard weather information suitable for each execution,
    상기 사용자 입력 정보로부터 확인되는 작물 재배 예상 일정을 고려하였을 때, 상기 재배 환경 정보로서 상기 정보 수집부로부터 수집되는 날씨 예보 정보에 기초하여, 상기 표준 작업 스케쥴 상의 상기 개별 작업들이 상기 산출된 작업 유예 기간 간격 내에서 각각의 상기 기준 날씨 정보에 부합되는 일정에 수행되도록 하는 작업 일시를 결정하고, 상기 결정된 작업 일시에 따라 상기 개별 작업들이 각각 상기 사용자 맞춤형 작업 지시 정보로서 생성되도록 하는, 작물 재배 작업 지시 시스템.Considering the expected crop cultivation schedule confirmed from the user input information, the individual tasks on the standard work schedule are performed during the calculated work grace period based on the weather forecast information collected from the information collection unit as the cultivation environment information. A crop cultivation work instruction system that determines the work date and time to be performed on a schedule that matches each of the reference weather information within an interval, and generates the individual tasks as the user customized work instruction information according to the determined work date and time. .
  3. 제2항에 있어서,According to paragraph 2,
    작물 재배 작업용 농기계 장비 별, 전문 농업인 업력 별, 농업 보조 인력 별 통계적 작업량 정보로서 재배 면적 당 작업 시간 정보를 상기 개별 작업 별로 기록한 통계 DB를 더 포함하고,It further includes a statistical DB recording work time information per cultivation area for each individual task as statistical workload information by agricultural machinery equipment for crop cultivation work, professional farmer experience, and agricultural auxiliary personnel,
    상기 정보 처리부는,The information processing department,
    상기 재배 환경 정보로서 상기 사용자 입력 정보로부터 확인되는 농기계 장비 보유 현황 정보, 해당 사용자의 농업인 업력 정보, 추가 가용 농업 보조 인력 정보에 기초하여 상기 통계 DB로부터 각각의 통계적 작업량 정보를 추출하고, 추출된 각각의 통계적 작업량 정보 및 작물 재배 면적 정보를 이용하여, 상기 표준 작업 스케쥴 상의 상기 개별 작업들 각각을 수행하는데 소요될 작업 일수 또는 작업 시간 정보를 산출하는 것을 특징으로 하는, 작물 재배 작업 지시 시스템.As the cultivation environment information, each statistical workload information is extracted from the statistical DB based on the agricultural machinery equipment possession status information confirmed from the user input information, the user's farmer career information, and additional available agricultural assistant manpower information, and each extracted A crop cultivation work instruction system, characterized in that the number of work days or work time information required to perform each of the individual tasks in the standard work schedule is calculated using statistical workload information and crop cultivation area information.
  4. 제3항에 있어서,According to paragraph 3,
    상기 정보 처리부는,The information processing department,
    상기 사용자 맞춤형 작업 지시 정보를 생성함에 있어서,In generating the user customized work instruction information,
    상기 사용자 입력 정보로부터 확인되는 작물 재배 예상 일정에 맞춰 상기 표준 스케쥴 상의 개별 작업이 수행되는데 권장되는 농기계 장비, 추가 투입 농업 보조 인력에 관한 정보를 포함하는 권장 작업 지시 정보를 생성하고, 생성된 권장 작업 지시 정보에 의할 때의 작업 일수 또는 작업 시간 정보를 일정 계획에 반영하는 것을 특징으로 하는, 작물 재배 작업 지시 시스템.Individual tasks on the standard schedule are performed in accordance with the expected crop cultivation schedule confirmed from the user input information, and recommended work instruction information including information on recommended agricultural machinery equipment and additional input agricultural auxiliary personnel is generated, and the generated recommended tasks are performed. A crop cultivation work instruction system characterized by reflecting work days or work time information based on instruction information in a schedule plan.
  5. 제4항에 있어서,According to paragraph 4,
    상기 정보 처리부는,The information processing department,
    사용자와 타 농업인이 상호 간 사전 지정된 동일 기후 범위 및 동일 토양 조건에서 동일한 작물을 재배하고 있는 경우로서, 상기 타 농업인이 우수 영농인 또는 영농 전문가로서 등록되어 있는 경우에 해당하고,This applies to cases where the user and another farmer are cultivating the same crop in the same climate range and same soil conditions as previously designated by each other, and the other farmer is registered as an excellent farmer or farming expert,
    상기 타 농업인이 상기 표준 작업 스케쥴 상의 개별 작업에는 포함되지 않는 재배 활동 정보로서 사전 병충해 방제 활동을 추가 수행한 이력이 존재하는 경우,If the other farmer has a history of additionally performing prior pest control activities as cultivation activity information that is not included in the individual work in the standard work schedule,
    상기 사전 병충해 방제 활동이 수행된 시점에 맞춰 상기 표준 작업 스케쥴 내에 상기 사전 병충해 방제 활동을 추가한 상기 사용자 맞춤형 작업 지시 정보를 생성하는 것을 특징으로 하는, 작물 재배 작업 지시 시스템.A crop cultivation work instruction system, characterized in that the user-customized work instruction information is generated by adding the preliminary pest control activity within the standard work schedule according to the time when the preliminary pest control activity is performed.
  6. 제5항에 있어서,According to clause 5,
    재배 작물 별 병충해 빅데이터를 저장하는 병충해 DB를 더 포함하고, It further includes a pest and disease DB that stores big data on pests and diseases for each cultivated crop,
    상기 재배 작물 별 병충해 빅데이터는, 작물명, 병충해명, 병충해 발생지역 및 위치, 병충해 발생기간, 병충해 표준기후, 병충해 표준토양, 재배 작물 별 병충해 방제방법에 관한 데이터가 연계된 연계 테이블로 기록되고,The big data on pests and diseases for each cultivated crop is recorded in a link table in which data on crop name, pest description, pest and disease occurrence area and location, pest and disease occurrence period, pest and disease standard climate, pest and disease standard soil, and pest control method for each cultivated crop are linked,
    상기 병충해 표준기후 데이터는, 상기 병충해 발생지역 별로 획득되는 제1 표준 기후 데이터 및 제2 표준 기후 데이터를 포함하고,The pest standard climate data includes first standard climate data and second standard climate data obtained for each pest occurrence area,
    상기 제1 표준 기후 데이터는, 상기 병충해 발생기간의 시작일로부터 사전 지정된 제1 일수 이전의 시점을 기점으로 하고, 상기 병충해 발생기간의 시작일을 종점으로 하여 획득되는 제1 기간의 평균 기후 데이터를 나타내고,The first standard climate data represents the average climate data of the first period obtained with the start date of the pest outbreak period as the starting point and the start date of the pest outbreak period as the end point, a pre-designated first number of days before the start date of the pest outbreak period,
    상기 제2 표준 기후 데이터는, 상기 병충해 발생기간의 종료일로부터 사전 지정된 제2 일수 이전 이전의 시점을 기점으로 하고, 상기 병충해 발생기간의 종료일을 종점으로 하여 획득되는 제2 기간의 평균 기후 데이터를 나타내고,The second standard climate data starts from a pre-specified second number of days before the end date of the pest outbreak period, and represents the average climate data of the second period obtained with the end date of the pest outbreak period as the end point. ,
    상기 평균 기후 데이터는, 각각, 온도, 습도, 풍량, 강수, 강설, 미세먼지의 분류 별로, 해당 기간 동안의 일별 최고치들의 중간값(median value), 일별 평균치들의 중간값, 일별 최저치들의 중간값으로 기록되고,The average climate data is divided into the median value of the daily highest values, the median daily average values, and the median daily lowest values for each category of temperature, humidity, wind volume, precipitation, snowfall, and fine dust, respectively. recorded,
    상기 병충해 표준토양 데이터는, 상기 병충해 발생지역 별로 획득되는 토양의 성질에 관한 토성 데이터를 포함하며,The standard soil data for pests and diseases includes soil data on the properties of the soil obtained for each area where the pests and diseases occur,
    상기 정보 처리부는,The information processing department,
    상기 병충해 표준기후 데이터와 상기 병충해 표준토양 데이터에 근거하여, 작물 재배지별 해당 지역의 기후 및 토성에 의할 때, 특정 작물에 관한 병충해 발생 위험성을 분석하여 기후-토성-작물-병충해 연관 테이블을 생성하고, Based on the above standard pest climate data and the above pest standard soil data, the risk of developing pests and diseases for specific crops is analyzed according to the climate and soil of the region for each crop cultivation area, and a climate-soil-crop-pests correlation table is created. do,
    상기 병충해 방제방법이 도입되었을 때의 지역별, 기후별, 토성별로의 병충해 방제효과를 통계 산출하고, 상기 기후-토성-작물-병충해 연관 테이블과 병충해 방제방법-병충해 방제효과를 매칭함으로써, 지역/기후/토성별 맞춤형 방제방법을 제공하며,By statistically calculating the pest control effect by region, climate, and soil when the pest control method was introduced, and matching the climate-soil-crop-pest control table with the pest control method-pest control effect, region/climate /Provides customized pest control methods for each soil type,
    동일 작물 및 동일 토양 조건 하에서, 상기 농업인용 작물 재배 애플리케이션 프로그램으로부터 수신되는 작물재배지 환경정보에 근거할 때, 해당 작물재배지의 기후조건이 사전 지정된 일수 이상 특정 병충해 발생의 잠복기간에 해당하는 예후 조건으로서의 상기 제1 표준 기후 데이터와 일치하는 것으로 확인되는 경우, 해당 병충해 발생 위험성 및 병충해 예방을 위한 조치를 사전에 알람 통지하고,Under the same crop and the same soil conditions, based on the environmental information of the crop cultivation area received from the crop cultivation application program for farmers, the climatic conditions of the crop cultivation area are the prognostic conditions corresponding to the incubation period of the occurrence of specific pests and pests for more than a predetermined number of days. If it is confirmed to be consistent with the first standard climate data, an alarm will be notified in advance of the risk of occurrence of the relevant pest and disease and measures to prevent the pest.
    동일 작물 및 동일 토양 조건 하에서, 상기 병충해 발생의 잠복기간에 해당하는 상기 예후 조건으로서의 상기 제1 표준 기후 데이터의 시계열적 대표값의 변화 추이를 산출하고, 산출된 변화 추이에 근접한 기후 변화를 나타내는 지역을 추출함으로써, 해당 병충해의 전파 예상 지역 및 지역적 전파 방향을 산출하며,Under the same crop and the same soil conditions, a change trend in the time series representative value of the first standard climate data as the prognostic condition corresponding to the incubation period of the pest outbreak is calculated, and an area showing a climate change close to the calculated change trend is selected. By extracting, the expected spread area and regional spread direction of the pest is calculated,
    상기 병충해의 전파 예상 지역 및 지역적 전파 방향에 따라 병충해 발생이 예상되는 지역에 위치하는 재배 작물의 경우, 상기 사용자 맞춤형 작업 지시 정보를 생성함에 있어서 상기 병충해 방제 방법을 상기 표준 작업 스케쥴 상의 개별 작업으로서 추가하는 것을 특징으로 하는, 작물 재배 작업 지시 시스템.In the case of cultivated crops located in areas where pests and diseases are expected to occur according to the expected spread area and regional direction of spread of the pests and diseases, the pest control method is added as an individual task on the standard work schedule when creating the user-customized work instruction information. A crop cultivation operation instruction system, characterized in that.
PCT/KR2022/020113 2022-10-13 2022-12-12 Crop cultivation work instruction system WO2024080448A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR10-2022-0131219 2022-10-13
KR1020220131219A KR20240051493A (en) 2022-10-13 2022-10-13 Work order system for crop cultivation

Publications (1)

Publication Number Publication Date
WO2024080448A1 true WO2024080448A1 (en) 2024-04-18

Family

ID=90669729

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2022/020113 WO2024080448A1 (en) 2022-10-13 2022-12-12 Crop cultivation work instruction system

Country Status (2)

Country Link
KR (1) KR20240051493A (en)
WO (1) WO2024080448A1 (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20180038221A (en) * 2016-10-06 2018-04-16 주식회사 엔틱스 Smart farming knowledge and information system
KR20200058016A (en) * 2018-11-19 2020-05-27 정준수 customized system for managing cultivation
KR102184289B1 (en) * 2020-03-03 2020-11-30 강원도 횡성군 Agricultural Field Consultation Data Accumulation System and Farm Counseling Support Method
KR102381491B1 (en) * 2020-11-26 2022-03-31 농업회사법인주식회사지인 Information providing system for crop cultivation
JP2022063967A (en) * 2020-10-13 2022-04-25 国立研究開発法人農業・食品産業技術総合研究機構 Agricultural work support system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20180038221A (en) * 2016-10-06 2018-04-16 주식회사 엔틱스 Smart farming knowledge and information system
KR20200058016A (en) * 2018-11-19 2020-05-27 정준수 customized system for managing cultivation
KR102184289B1 (en) * 2020-03-03 2020-11-30 강원도 횡성군 Agricultural Field Consultation Data Accumulation System and Farm Counseling Support Method
JP2022063967A (en) * 2020-10-13 2022-04-25 国立研究開発法人農業・食品産業技術総合研究機構 Agricultural work support system
KR102381491B1 (en) * 2020-11-26 2022-03-31 농업회사법인주식회사지인 Information providing system for crop cultivation

Also Published As

Publication number Publication date
KR20240051493A (en) 2024-04-22

Similar Documents

Publication Publication Date Title
Norton Analysis of decision making in crop protection
Forbes et al. Increased pollinator habitat enhances cacao fruit set and predator conservation
Benton et al. Linking agricultural practice to insect and bird populations: a historical study over three decades
WO2022114344A1 (en) System for providing adaptive cultivation information through crop cultivation application
Johansson et al. Intense grazing of calcareous grasslands has negative consequences for the threatened marsh fritillary butterfly
CN113544714A (en) Crop yield prediction program and cultivation environment determination program
Dorman et al. Landscape and climatic effects driving spatiotemporal abundance of Lygus lineolaris (Hemiptera: Miridae) in cotton agroecosystems
Woodcock et al. Historical, local and landscape factors determine the success of grassland restoration for arthropods
CN115631061A (en) Intelligent digital agriculture method, system and medium based on shared agricultural machinery
WO2023063484A1 (en) Artificial intelligence-based crop disease and insect damage identification system
Kiss et al. Zoochory on and off: A field experiment for trait‐based analysis of establishment success of grassland species
WO2024080448A1 (en) Crop cultivation work instruction system
Li et al. Tree identity and canopy openness mediate oil palm biodiversity enrichment effects on insect herbivory and pollination
Lemmon Comax: an expert system for cotton crop management
KR20240051494A (en) Smart farming diary system
Hartstack et al. Models for cotton insect pest management
Cichota et al. Simulating plant growth in diverse pastures with new forage models in APSIM.
Naranjo et al. A simulation model of northern corn rootworm, Diabrotica barberi Smith and Lawrence (Coleoptera: Chrysomelidae), population dynamics and oviposition: significance of host plant phenology
WO2024080449A1 (en) Farming education platform system using metaverse
DeMichele et al. Systems approach to cotton insect pest management
Kleinhenz et al. PASO–computer‐aided models for decision making in plant protection 1
Carlson et al. Influence of temperature upon crop and insect pest phenologies for field corn and the role of planting date upon their interrelationships
Hazlehurst et al. Important pollinator species for conserving rare plant species endemic to San Clemente Island, California
Russell et al. Context dependency of insect and mammalian herbivore effects on tall thistle (Cirsium altissimum) populations
Shane et al. Management of Cercospora leafspot of sugarbeets: Decision aids

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: 22962198

Country of ref document: EP

Kind code of ref document: A1