CN103024939A - Farmland crop growth information networking acquisition system and building method thereof - Google Patents

Farmland crop growth information networking acquisition system and building method thereof Download PDF

Info

Publication number
CN103024939A
CN103024939A CN2012105543965A CN201210554396A CN103024939A CN 103024939 A CN103024939 A CN 103024939A CN 2012105543965 A CN2012105543965 A CN 2012105543965A CN 201210554396 A CN201210554396 A CN 201210554396A CN 103024939 A CN103024939 A CN 103024939A
Authority
CN
China
Prior art keywords
plant growth
unit
sensing node
information
node
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
CN2012105543965A
Other languages
Chinese (zh)
Other versions
CN103024939B (en
Inventor
倪军
朱艳
曹卫星
姚霞
田永超
庞方荣
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanjing Agricultural University
Original Assignee
Nanjing Agricultural University
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 Nanjing Agricultural University filed Critical Nanjing Agricultural University
Priority to CN201210554396.5A priority Critical patent/CN103024939B/en
Publication of CN103024939A publication Critical patent/CN103024939A/en
Application granted granted Critical
Publication of CN103024939B publication Critical patent/CN103024939B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Landscapes

  • Arrangements For Transmission Of Measured Signals (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a farmland crop growth information networking acquisition system. The farmland crop growth information networking acquisition system comprises N crop growth sensor nodes and an aggregation node, wherein a self-organizing wireless sensor network can be established between the N sensor nodes and the aggregation node through wireless channels; all the sensor nodes transmit the acquired crop growth information to the aggregation node through the self-organizing wireless sensor network; and the aggregation node is deployed in the center of the N sensor nodes, and is used for releasing wireless sensor network management tasks to all monitoring points through the self-organizing wireless sensor network, controlling the operating states of the crop growth sensor nodes, and coordinating all the sensor nodes to transmit and aggregate the acquired data. The invention also provides a building method for the farmland crop growth information networking acquisition system. According to the system and the method, the operating nodes are dynamically managed according to energy consumption models of the sensor nodes, and the crop growth information is acquired for a long time and at low-power consumption rate in farmland open environments.

Description

A kind of field-crop growth information networking acquisition system and construction method thereof
Technical field
The present invention relates to a kind of farmland wireless sensor network technology, relate in particular to based on the field-crop growth information of wireless sensor network for a long time, Real-time Collection technology on a large scale, belong to agriculture Internet of Things field.
Background technology
Crop accurately management is one of important content of accurate agricultural, can not only guarantee crop yield and quality, and can improve fertilizer utilization efficiency, minimizing groundwater pollution, thereby produces huge economy and ecological benefits.Accurate agricultural is based on the modern agricultural production administrative skill system of information acquiring technology, information management and decision-making technic and variable operation technology.Its core is the in esse room and time otherness information of environmental factor (such as soil texture, landform, plant nutrient, water content etc.) of obtaining the crop yield of residential quarter, farmland and affecting plant growth, the reason of analyzing influence cell production difference, take technical feasibility, effective regulation measure economically, treat with a certain discrimination, implement as required " the prescription agricultural " of location regulation and control.Therefore, crop accurately the implementation process of management comprise management and decision-making and the field variable operation of the obtaining of plant growth information, information.Wherein, obtaining of plant growth information is the accurately foundation of management of crop production.Yet the present biggest obstacle implemented of accurate agricultural remains in agricultural land information high density, high-speed, high accuracy, low cost and obtains in the research of technology.Therefore how Real-time Obtaining plant growth information just becomes at first needs a key issue solving in the accurate management implementation process of crop.
For a long time, obtaining take artificial field sampling, lab analysis as main of plant growth information, this traditional means of testing not only can destroy making deposits yields, affect plant growth, and need to expend a large amount of human and material resources at aspects such as sampling, mensuration, data analyses, poor in timeliness is unfavorable for applying.Lossless detection method based on sensor technology has fast, makes things convenient for, nondestructive advantage, and the accurately needed information of management of crop can in time be provided, and becomes the study hotspot in the current agriculture project.And at present, though have the ability of meticulous detection agricultural land information based on the single-point sample mode of sensor technology, the shortcomings such as (non-online) that has that monitoring range is little, monitoring time is discontinuous, can't for field crops accurately management real time information and decision-making foundation are provided; Although the cable network sample mode based on sensor technology possesses extensive monitoring capability, but need to lay in the farmland a large amount of circuits, especially disperse in the situation that sampled point, the track laying cost will improve greatly, and easily be subject to the restriction of topography and geomorphology, thereby restricted the application of lossless detection method.
Summary of the invention
The objective of the invention is for the problems referred to above, a kind of field-crop growth information networking acquisition system and construction method thereof are provided.This system is with the wireless sensor network form, realizes under the farm environment that plant growth information (nitrogen content, nitrogen accumulation, leaf area index, biomass etc.), for a long time, gather continuously on a large scale.
The present invention is in order to address the above problem by the following technical solutions:
A kind of field-crop growth information networking acquisition system comprises N plant growth sensing node, 1 aggregation node; Wherein, described N plant growth sensing node is deployed in the farmland discretely by pre-defined rule, consists of N monitoring point, and N is the natural number greater than 1; Set up the ad-hoc wireless sensing network by wireless channel between N plant growth sensing node and the aggregation node, each plant growth sensing node by described ad-hoc wireless sensing network with the plant growth communication that gathers to aggregation node; Described aggregation node is deployed in the center of N plant growth sensing node, issue the wireless sensor network management role by described ad-hoc wireless sensing network to each monitoring point, the operating state of control plant growth sensing node, the transmission of coordinating each monitoring point image data with converge.
As the further prioritization scheme of a kind of field-crop growth information networking acquisition system of the present invention, described plant growth sensing node comprises multispectral plant growth transducer, collector, solar panel, horizontal stand and support bar; Wherein, described plant growth transducer, solar panel are fixed on the horizontal stand; Described horizontal stand, collector are fixed on the support bar.
As the further prioritization scheme of a kind of field-crop growth information networking acquisition system of the present invention, described collector comprises signal processing unit, microprocessor unit, wireless communication unit, real-time clock unit, power subsystem, power control unit; Wherein, described solar panel connects power subsystem by shielded cable, and described power subsystem connects respectively power control unit, real-time clock unit, signal processing unit and wireless communication unit, and described power control unit connects microprocessor unit; Described plant growth transducer connects signal processing unit by shielded cable, and described signal processing unit is connected with microprocessor unit, wireless communication unit successively; Described microprocessor unit is connected with the real-time clock unit, described real-time clock unit is connected with power control unit, successfully receive the signal of plant growth transducer when microprocessor unit after, overturn to control the break-make of power control unit by the pulse signal of control real-time clock unit, thus the dormancy that realizes sensing node with wake up.
As the further prioritization scheme of a kind of field-crop growth information networking acquisition system of the present invention, described signal gathering node comprises controller, solar panel and support bar; Wherein, described solar panel connects controller by shielded type cable; Described solar panel, controller are fixed on the support bar.
As the further prioritization scheme of a kind of field-crop growth information networking acquisition system of the present invention, described controller comprises wireless communication unit, microprocessor unit, memory cell, expansion mouth unit and the power subsystem that is used for power supply; Wherein said wireless communication unit connects microprocessor unit, memory cell successively; Described microprocessor unit connects expansion mouthful unit.
As the further prioritization scheme of a kind of field-crop growth information networking acquisition system of the present invention, the frequency range of described wireless communication unit is ZigBee-780MHz.
The present invention also proposes a kind of construction method of field-crop growth information networking acquisition system, adopts following steps:
Step 1) according to the positional information of soil nutrient information, plant growth information and the sampled point of farmland sampled point, adopts PCA to simplify overlay information, extracts principal component;
Step 2) characteristic vector of principal component, calculation procedure 1) draws respectively the data model of principal component characteristic vector and soil nutrient information, plant growth information, calculating principal component scores;
Step 3), on the Matlab platform to step 2) in principal component scores carry out fuzzy C-mean clustering analysis, calculate each sampled point in the degree of membership value of each subregion, under the GIS environment, described degree of membership value is carried out spline interpolation, obtain the fuzzy membership spatial distribution map of each subregion;
Step 4) under the GIS environment, is converted to grating map with the fuzzy membership spatial distribution map in the step 3), extracts the interior maximum degree of membership value of each grid in stacking chart's layer, according to the maximum principle of degree of membership, determines the subregion that each sampled point is subordinate to;
Step 5) is determined step 4) the grid map of subregion is converted to VectorLayer, obtains the subregion situation in whole farmland;
Step 6) on each subregion of step 5), is disposed a plant growth sensing node, and N subregion disposed N plant growth sensing node, makes up the physical layer architecture of collection network;
Step 7), in the center of N plant growth sensing node of step 6) deployment, deployment signal aggregation node, the network layer structure of structure collection network;
Step 8), according to plant growth sensing node positional information, signal gathering node location information, routed path, make up plant growth sensing node energy consumption model, according to transmission energy consumption minimum principle, the screening operation sensing node, the transport layer based structures of structure collection network;
Step 9) is set up plant growth information Perception node according to plant growth information change feature and is gathered forecast model;
Step 10), sensing node real-time data collection during according to work, integrating step 9) forecast model, the transport layer structure of structure collection network.
As the further prioritization scheme of construction method of a kind of field-crop growth information networking acquisition system of the present invention, described soil nutrient information comprises the content of organic matter, available phosphorus contents, quick-acting potassium content, total nitrogen content, conductivity; Described plant growth information comprises nitrogen content, leaf area index.
The present invention adopts above technical scheme, compared with prior art has following technique effect:
1. a kind of field-crop growth information networking acquisition system of the present invention can be by several plant growth sensing nodes from forming the wireless sensor network form, realizes under the open environment of farmland that plant growth information, continuously, gather in real time on a large scale.
2. a kind of field-crop growth information networking acquisition system construction method of the present invention can be disposed the plant growth sensing node according to agricultural land information space characteristics difference distribution situation, has realized plant growth information all standing monitoring under the open environment of farmland.
3. a kind of field-crop growth information networking acquisition system construction method of the present invention can according to the energy consumption model of sensing node management work node dynamically, have been realized plant growth Chief Information Officer time under the open environment of farmland, low-power consumption collection.
Description of drawings
Fig. 1 is field-crop growth information networking acquisition system structural representation of the present invention.
Fig. 2 is plant growth sensing node structural representation of the present invention.
Fig. 3 is signal gathering node structure schematic diagram of the present invention.
Fig. 4 is plant growth sensing node control strategy flow chart of the present invention.
Fig. 5 is plant growth signal gathering node control strategic process figure of the present invention.
Embodiment
Below in conjunction with accompanying drawing technical scheme of the present invention is described in further details.
With reference to Fig. 1, a kind of field-crop growth information networking acquisition system comprises several plant growth sensing nodes, 1 signal gathering node and sensing node software and aggregation node software.The plant growth sensing node is deployed in the farmland discretely by certain rule, consists of a monitoring point; Pass through wireless channel ad-hoc wireless sensing network between each plant growth sensing node of plant growth sensing node software-driven, and gather, transmit plant growth information; The signal gathering node deployment is in plant growth sensing node center; Aggregation node software issue wireless sensor network management role, control plant growth sensing node operating state, the transmission of coordinating each monitoring point image data with converge.
With reference to Fig. 2, the plant growth sensing node comprises multispectral plant growth transducer, collector, solar panel, horizontal stand and support bar.The plant growth transducer connects collector; Solar panel connects collector; Plant growth transducer, solar panel are fixed on the horizontal stand; Horizontal stand, collector are fixed on the support bar.Collector comprises signal processing unit, microprocessor unit, wireless communication unit, real-time clock unit, power subsystem, power control unit.Signal processing unit is connected successively with microprocessor unit, wireless communication unit; Real-time clock unit front end connects microprocessor unit, and the rear end connects power control unit; Power control unit connects microprocessor unit; Power subsystem connects respectively power control unit, signal processing unit and wireless communication unit, and wireless communication unit adopts the ZigBee-780MHz frequency range.
With reference to Fig. 3, the signal gathering node comprises controller, solar panel and support bar.Solar panel connects controller; Solar panel, controller are fixed on the support bar.Controller comprises wireless communication unit, microprocessor unit, memory cell, expansion mouth unit, power subsystem.Wireless communication unit connects microprocessor unit, memory cell successively; Microprocessor unit connects expansion mouthful unit; Power subsystem is connected with above-mentioned each unit.
With reference to Fig. 4, sensing node software (control strategy) comprises 7 parts: the microprocessor unit initialization; Sensing node adds network; Sensing node gathers Crop Information; Data are preserved; Packet Generation signal gathering node; The sensing node dormancy; Sensing node wakes up.
With reference to Fig. 5, aggregation node software (control strategy) comprises 5 parts: the microprocessor unit initialization; Set up network; The permission sensing node networks; The sensing node dynamic power management; Receive data.
The present invention proposes a kind of field-crop growth information networking acquisition system construction method, adopts following steps:
Step 1), positional information according to soil nutrient information (content of organic matter, available phosphorus contents, quick-acting potassium content, total nitrogen content, conductivity), plant growth information (nitrogen content, leaf area index) and the sampled point of farmland sampled point, adopt PCA to simplify overlay information, extract principal component;
Step 2) characteristic vector of principal component, calculation procedure 1) draws respectively the data model of principal component characteristic vector and soil nutrient information, plant growth information, calculating principal component scores;
Step 3), on the Matlab platform to step 2) in principal component scores carry out fuzzy C-mean clustering analysis, calculate each sampled point in the degree of membership value of each subregion, under the GIS environment, the degree of membership value is carried out spline interpolation, obtain the fuzzy membership spatial distribution map of each subregion;
Step 4) under the GIS environment, is converted to grating map with the fuzzy membership spatial distribution map in the step 3), extracts the interior maximum degree of membership value of each grid in stacking chart's layer, according to the maximum principle of degree of membership, determines the subregion that each sampled point is subordinate to;
Step 5) is determined step 4) the grid map of subregion is converted to VectorLayer, obtains the subregion situation in whole farmland;
Step 6) on each subregion of step 5), is disposed a plant growth sensing node, and N subregion disposed N plant growth sensing node, makes up the collection network physical layer architecture;
Step 7), in the center of N plant growth sensing node of step 6) deployment, the deployment signal aggregation node makes up the collection network network layer structure;
Step 8), according to plant growth sensing node positional information, signal gathering node location information, routed path, make up plant growth sensing node energy consumption model, according to transmission energy consumption minimum principle, the screening operation sensing node makes up collection network transport layer based structures;
Step 9) is set up plant growth information Perception node according to plant growth information change feature and is gathered forecast model;
Step 10) is according to work sensing node real-time data collection, integrating step 9) forecast model, make up collection network transport layer structure.

Claims (8)

1. a field-crop growth information networking acquisition system is characterized in that, comprises N plant growth sensing node, 1 aggregation node; Wherein, described N plant growth sensing node is deployed in the farmland discretely by pre-defined rule, consists of N monitoring point, and N is the natural number greater than 1; Set up the ad-hoc wireless sensing network by wireless channel between N plant growth sensing node and the aggregation node, each plant growth sensing node by described ad-hoc wireless sensing network with the plant growth communication that gathers to aggregation node; Described aggregation node is deployed in the center of N plant growth sensing node, issue the wireless sensor network management role by described ad-hoc wireless sensing network to each monitoring point, the operating state of control plant growth sensing node, the transmission of coordinating each monitoring point image data with converge.
2. a kind of field-crop growth information networking acquisition system according to claim 1 is characterized in that, described plant growth sensing node comprises multispectral plant growth transducer, collector, solar panel, horizontal stand and support bar; Wherein, described plant growth transducer, solar panel are fixed on the horizontal stand; Described horizontal stand, collector are fixed on the support bar.
3. a kind of field-crop growth information networking acquisition system according to claim 2, it is characterized in that, described collector comprises signal processing unit, microprocessor unit, wireless communication unit, real-time clock unit, power subsystem, power control unit; Wherein, described solar panel connects power subsystem by shielded cable, and described power subsystem connects respectively power control unit, real-time clock unit, signal processing unit and wireless communication unit, and described power control unit connects microprocessor unit; Described plant growth transducer connects signal processing unit by shielded cable, and described signal processing unit is connected with microprocessor unit, wireless communication unit successively; Described microprocessor unit is connected with the real-time clock unit, described real-time clock unit is connected with power control unit, successfully receive the signal of plant growth transducer when microprocessor unit after, overturn to control the break-make of power control unit by the pulse signal of control real-time clock unit, thus the dormancy that realizes sensing node with wake up.
4. a kind of field-crop growth information networking acquisition system according to claim 1 is characterized in that, described signal gathering node comprises controller, solar panel and support bar; Wherein, described solar panel connects controller by shielded type cable; Described solar panel, controller are fixed on the support bar.
5. a kind of field-crop growth information networking acquisition system according to claim 4 is characterized in that, described controller comprises wireless communication unit, microprocessor unit, memory cell, expansion mouth unit and the power subsystem that is used for power supply; Wherein said wireless communication unit connects microprocessor unit, memory cell successively; Described microprocessor unit connects expansion mouthful unit.
6. according to claim 3 or 5 described a kind of field-crop growth information networking acquisition systems, it is characterized in that, the frequency range of described wireless communication unit is ZigBee-780MHz.
7. a field-crop growth information networking acquisition system construction method is characterized in that, adopts following steps:
Step 1) according to the positional information of soil nutrient information, plant growth information and the sampled point of farmland sampled point, adopts PCA to simplify overlay information, extracts principal component;
Step 2) characteristic vector of principal component, calculation procedure 1) draws respectively the data model of principal component characteristic vector and soil nutrient information, plant growth information, calculating principal component scores;
Step 3), on the Matlab platform to step 2) in principal component scores carry out fuzzy C-mean clustering analysis, calculate each sampled point in the degree of membership value of each subregion, under the GIS environment, described degree of membership value is carried out spline interpolation, obtain the fuzzy membership spatial distribution map of each subregion;
Step 4) under the GIS environment, is converted to grating map with the fuzzy membership spatial distribution map in the step 3), extracts the interior maximum degree of membership value of each grid in stacking chart's layer, according to the maximum principle of degree of membership, determines the subregion that each sampled point is subordinate to;
Step 5) is determined step 4) the grid map of subregion is converted to VectorLayer, obtains the subregion situation in whole farmland;
Step 6) on each subregion of step 5), is disposed a plant growth sensing node, and N subregion disposed N plant growth sensing node, makes up the physical layer architecture of collection network;
Step 7), in the center of N plant growth sensing node of step 6) deployment, deployment signal aggregation node, the network layer structure of structure collection network;
Step 8), according to plant growth sensing node positional information, signal gathering node location information, routed path, make up plant growth sensing node energy consumption model, according to transmission energy consumption minimum principle, the screening operation sensing node, the transport layer based structures of structure collection network;
Step 9) is set up plant growth information Perception node according to plant growth information change feature and is gathered forecast model;
Step 10), sensing node real-time data collection during according to work, integrating step 9) forecast model, the transport layer structure of structure collection network.
8. a kind of field-crop growth information networking acquisition system construction method according to claim 7 is characterized in that, described soil nutrient information comprises the content of organic matter, available phosphorus contents, quick-acting potassium content, total nitrogen content, conductivity; Described plant growth information comprises nitrogen content, leaf area index.
CN201210554396.5A 2012-12-19 2012-12-19 Farmland crop growth information networking acquisition system and building method thereof Active CN103024939B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210554396.5A CN103024939B (en) 2012-12-19 2012-12-19 Farmland crop growth information networking acquisition system and building method thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210554396.5A CN103024939B (en) 2012-12-19 2012-12-19 Farmland crop growth information networking acquisition system and building method thereof

Publications (2)

Publication Number Publication Date
CN103024939A true CN103024939A (en) 2013-04-03
CN103024939B CN103024939B (en) 2014-12-10

Family

ID=47972927

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210554396.5A Active CN103024939B (en) 2012-12-19 2012-12-19 Farmland crop growth information networking acquisition system and building method thereof

Country Status (1)

Country Link
CN (1) CN103024939B (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104268784A (en) * 2014-09-04 2015-01-07 浙江托普仪器有限公司 Agriculture micro-environment monitoring platform based on internet of things
CN104270789A (en) * 2014-08-26 2015-01-07 中国人民解放军国防科学技术大学 Sampling task scheduling method based on data sharing wireless sensor network
CN104486795A (en) * 2014-12-03 2015-04-01 中国人民解放军国防科学技术大学 Sampling task load balancing and fault-tolerant method for wireless sensor network
CN104898608A (en) * 2015-04-10 2015-09-09 南京理工大学 Hadoop-based crop growth monitoring cloud platform and realization method thereof
CN107197030A (en) * 2017-06-19 2017-09-22 深圳市盛路物联通讯技术有限公司 A kind of control method and system of internet-of-things terminal equipment working state
US10387977B2 (en) 2014-02-25 2019-08-20 Pioneer Hi-Bred International, Inc. Environmental management zone modeling and analysis
CN110427032A (en) * 2019-08-12 2019-11-08 湘潭大学 A kind of agricultural data acquisition method and system based on flow model data collection point
CN112968808A (en) * 2021-02-01 2021-06-15 中科视拓(南京)科技有限公司 Universal method for deploying deep target detection network API

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102289920A (en) * 2011-05-13 2011-12-21 中国科学院合肥物质科学研究院 Energy-saving wireless multi-hop agricultural remote intelligent monitoring and early-warning system
CN203039925U (en) * 2012-12-19 2013-07-03 南京农业大学 Farmland crop growth information networking acquisition system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102289920A (en) * 2011-05-13 2011-12-21 中国科学院合肥物质科学研究院 Energy-saving wireless multi-hop agricultural remote intelligent monitoring and early-warning system
CN203039925U (en) * 2012-12-19 2013-07-03 南京农业大学 Farmland crop growth information networking acquisition system

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10387977B2 (en) 2014-02-25 2019-08-20 Pioneer Hi-Bred International, Inc. Environmental management zone modeling and analysis
US11625798B2 (en) 2014-02-25 2023-04-11 Pioneer Hi-Bred International, Inc. Environmental management zone modeling and analysis
US11341591B2 (en) 2014-02-25 2022-05-24 Pioneer Hi-Bred International, Inc. Environmental management zone modeling and analysis
US10832359B2 (en) 2014-02-25 2020-11-10 Pioneer Hi-Bred International, Inc. Environmental management zone modeling and analysis
CN104270789B (en) * 2014-08-26 2017-08-01 中国人民解放军国防科学技术大学 The sampling task dispatching method of wireless sensor network based on data sharing
CN104270789A (en) * 2014-08-26 2015-01-07 中国人民解放军国防科学技术大学 Sampling task scheduling method based on data sharing wireless sensor network
CN104268784B (en) * 2014-09-04 2017-11-24 浙江托普仪器有限公司 A kind of agriculture subenvironment monitoring platform based on Internet of Things
CN104268784A (en) * 2014-09-04 2015-01-07 浙江托普仪器有限公司 Agriculture micro-environment monitoring platform based on internet of things
CN104486795B (en) * 2014-12-03 2017-10-27 中国人民解放军国防科学技术大学 The sampling task load balancing and fault-tolerance approach of wireless sensor network
CN104486795A (en) * 2014-12-03 2015-04-01 中国人民解放军国防科学技术大学 Sampling task load balancing and fault-tolerant method for wireless sensor network
CN104898608A (en) * 2015-04-10 2015-09-09 南京理工大学 Hadoop-based crop growth monitoring cloud platform and realization method thereof
CN107197030A (en) * 2017-06-19 2017-09-22 深圳市盛路物联通讯技术有限公司 A kind of control method and system of internet-of-things terminal equipment working state
CN107197030B (en) * 2017-06-19 2020-10-20 深圳市盛路物联通讯技术有限公司 Method and system for controlling working state of terminal equipment of Internet of things
CN110427032A (en) * 2019-08-12 2019-11-08 湘潭大学 A kind of agricultural data acquisition method and system based on flow model data collection point
CN110427032B (en) * 2019-08-12 2022-07-22 湘潭大学 Agricultural data acquisition method and system based on flow type data acquisition points
CN112968808A (en) * 2021-02-01 2021-06-15 中科视拓(南京)科技有限公司 Universal method for deploying deep target detection network API
CN112968808B (en) * 2021-02-01 2022-06-21 中科视拓(南京)科技有限公司 Universal method for deploying deep target detection network API

Also Published As

Publication number Publication date
CN103024939B (en) 2014-12-10

Similar Documents

Publication Publication Date Title
CN103024939B (en) Farmland crop growth information networking acquisition system and building method thereof
CN105830870B (en) A kind of long distance wireless farmland monitoring system and method
Feng et al. Study of wireless communication technologies on Internet of Things for precision agriculture
CN103048985B (en) Agriculture feelings information integral harvester
Gao et al. An intelligent irrigation system based on wireless sensor network and fuzzy control
Sai et al. Optimized algorithm of sensor node deployment for intelligent agricultural monitoring
Li et al. Research on IOT technology applied to intelligent agriculture
Li et al. INCOME: Practical land monitoring in precision agriculture with sensor networks
CN104297452B (en) Based on the soil moisture content data preprocessing method of wireless sensor network
CN106305371A (en) Cloud-based agricultural Internet of things production and management system
CN103149897A (en) Precision agriculture self-adaption monitoring system and method based on agricultural Internet of things
Xiang Design of fuzzy drip irrigation control system based on zigbee wireless sensor network
Dhaya et al. Energy efficient resource allocation algorithm for agriculture iot
Zhang et al. Energy efficiency analysis of wireless sensor networks in precision agriculture economy
Li et al. Integrated multi-dimensional technology of data sensing method in smart agriculture
CN114092776A (en) Multi-sensor data fusion method applied to intelligent agriculture
CN203039925U (en) Farmland crop growth information networking acquisition system
CN205229732U (en) Soil entropy mutual affection cloth automatic monitoring device based on big dipper location finding technique
Wan Research on the model for crop water requirements in wireless sensor networks
Sudharsan et al. GeoSense: a multimode information and communication system
CN105388809A (en) Beidou positioning technology-based soil moisture condition distribution automatic monitoring system
CN203405235U (en) Integrated facility environment parameter tester based on Internet of things
Wu et al. Design of farmland information acquisition system based on LoRa wireless sensor network
CN102752386A (en) Active-induction-based agricultural internet things communication method
CN205622666U (en) Low -power consumption farmland soil moisture content monitoring system based on thing networking

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant