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WO2018120660A1 - Procédé et appareil de recommandation de plantations sur la base d'une serre de plantation - Google Patents

Procédé et appareil de recommandation de plantations sur la base d'une serre de plantation Download PDF

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Publication number
WO2018120660A1
WO2018120660A1 PCT/CN2017/087987 CN2017087987W WO2018120660A1 WO 2018120660 A1 WO2018120660 A1 WO 2018120660A1 CN 2017087987 W CN2017087987 W CN 2017087987W WO 2018120660 A1 WO2018120660 A1 WO 2018120660A1
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WIPO (PCT)
Prior art keywords
plant
planting
price
greenhouse
target
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PCT/CN2017/087987
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English (en)
Chinese (zh)
Inventor
王刚
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深圳前海弘稼科技有限公司
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Publication of WO2018120660A1 publication Critical patent/WO2018120660A1/fr

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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

Definitions

  • the present application relates to the field of computer application technology, and in particular, to a planting recommendation method and device based on a greenhouse.
  • the purpose of the application is to provide a planting greenhouse-based recommended method and device for providing a reference for planting plants and improving economic benefits.
  • a recommended method for planting based on planting greenhouses including:
  • the method determines, for each plant, whether the highest price of the plant is seasonal according to the annual price trend of the plant, including:
  • the determining whether the plant is a recommended planting plant for the target planting greenhouse according to a growth period of the plant and a time period in which the highest price of the plant occurs most frequently occurs includes:
  • the planting period from the current time to the maturity of the plant is the same as the time period in which the highest price of the plant appears most frequently, Before determining that the plant is the recommended plant for the target greenhouse, it also includes:
  • the method further includes:
  • a planting recommendation device based on planting greenhouses including:
  • a request request receiving module for receiving a recommendation request for a planting plant in a target planting greenhouse
  • a price trend determination module for analyzing historical price data obtained in advance to determine the annual price trend of each plant
  • a seasonal determination module for determining, for each plant, whether the highest price of the plant is seasonal according to the annual price trend of the plant; if so, triggering the recommendation module;
  • the recommendation module is configured to determine whether the plant is a recommended planting plant for the target planting greenhouse according to a growth period of the plant and a time period in which the highest price of the plant occurs most frequently;
  • An information output module configured to output the determined information of all recommended planting plants for the target planting greenhouse.
  • the seasonal determining module is specifically configured to:
  • the recommendation module is specifically configured to:
  • the recommendation module is further configured to:
  • the determination of the plant as the target planting greenhouse is recommended. Before planting a plant, determine whether the highest price of the plant is regional based on the annual price trend of the plant;
  • the recommendation module is further configured to:
  • the annual price trend of each plant can be determined, for each plant According to the price trend of the plant, it can be determined whether the highest price of the plant has a seasonality, and if it is seasonal, it is determined according to the growth period of the plant and the highest frequency of the plant. Whether the plant is the recommended plant for the target greenhouse, and outputting the information of all the recommended plants for the target greenhouse, providing an effective reference for the planter to determine which plant to plant in the target greenhouse. It can improve the economic benefits of the target greenhouse.
  • FIG. 1 is a flow chart of implementation of a planting greenhouse-based planting recommendation method according to an embodiment of the present application
  • FIG. 2 is a schematic structural view of a planting recommendation device based on a planting greenhouse in the embodiment of the present application.
  • FIG. 1 is a flowchart of an implementation method for planting greenhouse-based planting according to an embodiment of the present application, the method may include the following steps:
  • the planting greenhouse manager can issue a recommendation request for the planting plant for the target planting greenhouse.
  • the plant can be a fruit, a vegetable or a flower.
  • step S120 Upon receiving the recommendation request for the planting plant of the target planting greenhouse, the operation of step S120 may be continued.
  • S120 Analyze the historical price data obtained in advance to determine the annual price trend of each plant.
  • historical price data of various plants can be obtained by data collection.
  • the collection of historical price data for various plants is a continuous process. Through the continuous collection of historical price data of various plants at different times and in different regions, a large amount of historical price data can be obtained.
  • the historical price data obtained in advance can be analyzed to determine the annual price trend of each plant.
  • the historical price of each plant at each time point per year can be extracted from the historical price data of each plant obtained in advance. For a certain point in time, you can choose this time The highest price in the interval is the price at that point in time. Establish a coordinate system with the time point as the abscissa and the price as the ordinate, and get the annual price trend of each plant. The time can be measured in days.
  • S130 For each plant, determine whether the highest price of the plant is seasonal according to the annual price trend of the plant.
  • the annual price trend of each plant is determined in step S120. For a certain plant, based on the annual price trend of the plant, it can be determined whether the highest price of the plant is seasonal.
  • step S130 may include the following steps:
  • one year may be continuously divided into multiple time segments, for example, divided according to quarters, or divided by days.
  • the annual price trend of the plant can be analyzed as the time period during which the highest price of the plant appears. If the highest price of the plant occurs at a higher frequency in the same time period, it can be expected that the plant will have a higher price during this time of the year.
  • the ratio of the number of times the highest price of the plant occurs in the same time period to the number of years is greater than a predetermined threshold, it can be determined that the highest price of the plant is seasonal.
  • the highest price appears in October as 2 times
  • the ratio of the number of times to the number of years is 2/3
  • the preset threshold is 1/2
  • the ratio of the number of times to the number of years is greater than the preset threshold. It can be determined that the highest price of the plant is seasonal.
  • step S140 may be continued. If it is determined that the highest price of the plant has a seasonality, the operation of step S140 may be continued. If it is determined that the highest price of the plant is not seasonal, then no treatment can be done.
  • S140 Determine whether the plant is a recommended planting plant for the target planting greenhouse according to the growth period of the plant and the most frequent time period of the highest price of the plant.
  • the growth cycle refers to the time from time when the plant is planted to mature.
  • the current recommendation request is to determine which plant to plant in the target planting greenhouse, and it will take some time from plant planting to maturity harvesting.
  • the highest price of the plant is seasonal, then The plant's growth cycle and the highest price of the plant appear at the most frequent time period to determine whether the plant is the recommended plant for the target planting greenhouse.
  • step S140 may include the following steps:
  • Step 1 According to the growth cycle of the plant, determine whether the time period from when the plant is planted to the time when the plant matures is the same as the time period in which the highest price of the plant appears most frequently; if yes, Then perform step two;
  • Step 2 Determine the plant as the recommended plant for the target greenhouse.
  • the plant has a specific growth cycle. According to the growth period of the plant, it is possible to estimate the time period from when the plant is planted to the current time to the maturity of the plant, and whether the time period in which the highest frequency of the plant is most frequently occurring is determined. Consistent. If consistent, it can be determined that the plant is the recommended plant for the target greenhouse. If they are inconsistent, the current target planting greenhouse may not be suitable for planting the plant.
  • the information about all the recommended planting plants for the target planting greenhouse can be output, such as the name information, the highest price information, the time period information of the highest price, and the geographical information of the highest price. Wait.
  • Planting greenhouse managers will use this information as an effective reference for planting plants in greenhouses to further determine which plants to plant in the target greenhouse.
  • the annual price trend of each plant can be determined, for each plant, According to the price trend of the plant, it can be determined whether the highest price of the plant has a seasonality, and if it is seasonal, it is determined according to the growth period of the plant and the highest frequency of the plant. Whether the plant is the recommended plant for the target greenhouse, and outputs the information of all the recommended plants for the target greenhouse, which provides an effective reference for the planter to determine which plant to plant in the target greenhouse. Improve the economic benefits of the target greenhouse.
  • the method may further include, when the time period from when the plant is planted from the current time until the plant matures coincides with the time period in which the highest price of the plant appears most frequently.
  • the first step determining whether the highest price of the plant is regional according to the annual price trend of the plant; if yes, performing the second step;
  • the second step determining whether the plant is the recommended plant for the target greenhouse, according to the geographical location of the target greenhouse and the highest frequency of the plant.
  • the planting period from the current time to the time when the plant matures, if the time period coincides with the most frequent time period of the highest price of the plant, Further determining whether the highest price of the plant is regional based on the annual price trend of the plant.
  • the ratio of the number of times the plant appears in the same region to the number of years can be determined to determine whether the highest price of the plant is regional. For example, if the ratio of the number of times the highest price of the plant appears in the same area to the number of years is greater than a predetermined threshold, it can be determined that the highest price of the plant is regional.
  • the plant can be determined to be the recommended planting plant for the target greenhouse according to the geographic location of the target greenhouse and the highest frequency of the plant.
  • the distance between the two can be determined according to the geographical location of the target greenhouse and the highest frequency of the plant.
  • the distance threshold can be preset according to transportation costs and the like. If the determined distance between the two is less than the distance threshold, it may be determined that the plant is the recommended planting plant for the target greenhouse. When the plant is ripe, it can be shipped to the area for sale.
  • the target planting can be identified as a non-recommended plant when the geographical location of the greenhouse and the distance of the region where the highest frequency of the plant is most frequently greater than or equal to the preset distance threshold.
  • the method may further include the following steps:
  • Step 1 For each plant, determine whether the lowest price of the plant has a seasonality according to the annual price trend of the plant; if yes, perform step 2;
  • Step 2 The frequency of occurrence occurs according to the growth period of the plant and the lowest price of the plant The time period to determine whether the plant is a non-recommended plant for the target greenhouse.
  • the lowest price of the plant is seasonal. Specifically, the ratio of the number of times that the lowest price of the plant appears in the same time period to the number of years can be determined to be seasonal. If so, it can be determined whether the plant is a non-recommended plant for the target planting greenhouse according to the plant's growth cycle and the most frequent time period of the plant's lowest price.
  • the plant can be determined as a non-recommended plant. To avoid selling at the lowest price of the plant and to reduce the price risk.
  • the embodiment of the present application further provides a planting recommendation device based on planting greenhouse, a planting recommendation device based on planting greenhouse and a planting greenhouse-based planting recommendation described above.
  • the methods can be referred to each other.
  • the device includes the following modules:
  • a recommendation request receiving module 210 configured to receive a recommendation request for a planting plant in the target planting greenhouse
  • the price trend determining module 220 is configured to analyze the historical price data obtained in advance to determine the annual price trend of each plant;
  • a seasonal determination module 230 for each plant, according to the annual price trend of the plant, determine whether the highest price of the plant has a seasonality; if so, trigger the recommendation module 240;
  • the recommendation module 240 is configured to determine whether the plant is a recommended planting plant for the target planting greenhouse according to the growth period of the plant and the time period in which the highest price of the plant occurs most frequently;
  • the information output module 250 is configured to output the determined information of all recommended planting plants for the target planting greenhouse.
  • the device when receiving the recommendation request for the planting plant in the target planting greenhouse, analyzing the historical price data obtained in advance, the annual price trend of each plant can be determined, for each plant, According to the price trend of the plant, it can be confirmed Whether the highest price of the plant is seasonal, if it is seasonal, according to the growth period of the plant and the highest frequency of the plant, the plant is determined to be the target planting greenhouse. It is recommended to plant the plants and output the information of all the recommended planting plants for the target greenhouse. It will provide an effective reference for the planting greenhouse managers to determine which plants to plant in the target greenhouse, which can improve the economic benefits of the target greenhouse.
  • the seasonal determining module 230 is specifically configured to:
  • the recommendation module 240 is specifically configured to:
  • the plant is determined to be the recommended plant for the target greenhouse.
  • the recommendation module 240 is further configured to:
  • the plant is determined to be the recommended plant for the target planting greenhouse. Previously, based on the annual price trend of the plant, determine whether the highest price of the plant is regional;
  • the recommendation module 240 is further configured to:
  • the plant is determined to be a non-recommended plant for the target greenhouse, based on the plant's growth cycle and the most frequent occurrence of the plant's lowest price.
  • the steps of a method or algorithm described in connection with the embodiments disclosed herein can be implemented directly in hardware, a software module executed by a processor, or a combination of both.
  • the software module can be placed in random access memory (RAM), memory, read only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or technical field. Any other form of storage medium known.

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Abstract

La présente invention concerne un procédé et un appareil de recommandation de plantations sur la base d'une serre de plantations. Le procédé comprend les étapes suivantes consistant à : recevoir une demande de recommandation pour une plante à planter dans une serre de plantation cible (S110) ; analyser des données historiques de prix obtenues au préalable et déterminer une tendance annuelle des prix pour chaque sorte de plante (S120) ; pour chaque sorte de plante, déterminer si le prix maximal de cette sorte de plante est saisonnier (S130) ; si c'est le cas, selon un cycle de croissance de cette sorte de plante et selon une période de temps durant laquelle le prix maximal de cette sorte de plante apparaît plus fréquemment, déterminer si cette sorte de plante est une plante dont la plantation est recommandée pour la serre de plantation cible (S140) ; et délivrer des informations liées à toutes les plantes déterminées dont la plantation est recommandée pour la serre de plantation cible (S150). Le procédé peut fournir une référence efficace à un gestionnaire de serre de plantation pour qu'il détermine finalement quelles sortes de plantes seront plantées dans une serre de plantation cible, et peut augmenter les avantages économiques de la serre de plantation cible.
PCT/CN2017/087987 2016-12-29 2017-06-13 Procédé et appareil de recommandation de plantations sur la base d'une serre de plantation WO2018120660A1 (fr)

Applications Claiming Priority (2)

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CN201611245535.0 2016-12-29
CN201611245535.0A CN106649815A (zh) 2016-12-29 2016-12-29 一种基于种植大棚的种植推荐方法及装置

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Publication number Priority date Publication date Assignee Title
CN106649815A (zh) * 2016-12-29 2017-05-10 深圳前海弘稼科技有限公司 一种基于种植大棚的种植推荐方法及装置
CN107169107B (zh) * 2017-05-18 2021-02-02 广州市拓狗信息科技有限公司 一种基于大数据分析的水产养殖辅助方法及系统
CN111192087A (zh) * 2019-12-30 2020-05-22 深圳春沐源控股有限公司 蔬果价格管理方法、服务器、终端和计算机可读存储介质
CN118411060B (zh) * 2024-07-03 2024-09-24 威海大则智控科技有限公司 一种智慧农业5g平台系统

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US20020103688A1 (en) * 2000-08-22 2002-08-01 Schneider Gary M. System and method for developing a farm management plan for production agriculture
CN104636852A (zh) * 2013-11-14 2015-05-20 财团法人资讯工业策进会 作物生产规划系统及作物生产规划方法
CN105260791A (zh) * 2015-09-25 2016-01-20 苏州携优信息技术有限公司 基于农业物联网和大数据分析的种植计划优化系统和方法
CN106649815A (zh) * 2016-12-29 2017-05-10 深圳前海弘稼科技有限公司 一种基于种植大棚的种植推荐方法及装置

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020103688A1 (en) * 2000-08-22 2002-08-01 Schneider Gary M. System and method for developing a farm management plan for production agriculture
CN104636852A (zh) * 2013-11-14 2015-05-20 财团法人资讯工业策进会 作物生产规划系统及作物生产规划方法
CN105260791A (zh) * 2015-09-25 2016-01-20 苏州携优信息技术有限公司 基于农业物联网和大数据分析的种植计划优化系统和方法
CN106649815A (zh) * 2016-12-29 2017-05-10 深圳前海弘稼科技有限公司 一种基于种植大棚的种植推荐方法及装置

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