CN108335226A - Agriculture Germplasm Resources Information real-time intelligent acquisition system - Google Patents

Agriculture Germplasm Resources Information real-time intelligent acquisition system Download PDF

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CN108335226A
CN108335226A CN201810126766.2A CN201810126766A CN108335226A CN 108335226 A CN108335226 A CN 108335226A CN 201810126766 A CN201810126766 A CN 201810126766A CN 108335226 A CN108335226 A CN 108335226A
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data
unit
germplasm resources
resources information
acquisition system
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朱银
颜伟
杨欣
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Jiangsu Academy of Agricultural Sciences
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/063Training
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/14Speech classification or search using statistical models, e.g. Hidden Markov Models [HMMs]
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/27Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique
    • G10L25/30Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the analysis technique using neural networks

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  • Business, Economics & Management (AREA)
  • Artificial Intelligence (AREA)
  • Animal Husbandry (AREA)
  • General Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Agronomy & Crop Science (AREA)
  • Evolutionary Computation (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Mining & Mineral Resources (AREA)
  • Probability & Statistics with Applications (AREA)
  • Economics (AREA)
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Abstract

The invention discloses a kind of agriculture Germplasm Resources Information real-time intelligent acquisition system, system is made a report on by data, data check, filing export, audio and video are collected evidence, 5 modules of system administration form.Wherein data make a report on made a report on including manual data, the automatic recognition of speech is made a report on, intelligent Matching makes a report on 3 submodules;Data check includes 3 iterative testing, normative inspection, integrity checking submodules;Filing export includes table export, document export, picture 3 submodules of export;Audio and video evidence obtaining includes 3 audio sound-recording, video record, picture photo submodules;System administration includes 2 knowledge base management, user management submodules.Present invention Develop Data in such a way that speech recognition, intelligent Matching, automatic Verification are combined is verified, reduce human cost input, carry out the analysis of germplasm among traditional varieties information using big data technology, it can realize automating, being intelligent for the gatherer process of germ plasm resource data, greatly promote collecting work efficiency.

Description

Agriculture Germplasm Resources Information real-time intelligent acquisition system
Technical field
The present invention relates to a kind of information acquisition system more particularly to a kind of acquisition systems of agriculture Germplasm Resources Information, belong to In intelligent data acquisition technical field.
Background technology
Currently, Germplasm Resources of Farm Crop branch is wide, plantation dispersion, trait information description standard degree is low, and existing adopts The data volume of set method acquisition is small, property wide in variety is low, data standard integrality is inadequate, causes the quality of data poor, available It is worth low, therefore that the data that scientific research and Germplasm resources management department grasp are long there are the data period, quantity is few, richness is low etc. is existing As can not effectively support agriculture Germplasm resources management and research work.
Country in 2016 starts " generaI investigation of Third National germ plasm resource " action, carries out germ plasm resource letter in China The acquisition and collection of breath.According to the requirement of generaI investigation action, the data standard that Germplasm Resource Investigation is collected and generally investigates collection has been formulated, Each province requires essential information, the trait information etc. that carry out germ plasm resource comprehensively to be collected according to standard, and carries out number According to the verification of the qualities of data index such as integrality, accuracy, normalization, it is finally completed summarizing and counting for germ plasm resource data.
Germ plasm resource data acquisition at this stage mostly carries out data record and statistics by manual site with paper carrier, completes Typing PC client information systems after data collection in worksite, then carry out data collect statistics after exporting table.This method is for profession Property agriculture germ plasm resource requested knowledge it is higher, the latin name of information such as crop that scene can not confirm, germplasm among traditional varieties Etc. confirming after need to carrying out secondary inquiry, the efficiency of data collection is low, and manual input speed is slow, and it is big to put into person works' amount, The quality and quantity that data acquire in the case of personnel amount and energy are limited can not ensure.
Invention content
The technical problem to be solved by the present invention is to:To improve the acquisition of germ plasm resource data, quality verification efficiency, paper is promoted Matter resource data availability proposes a kind of intelligent real-time acquisition system of agriculture Germplasm Resources Information, is Germplasm Resources of Farm Crop Census operations provides technical support, provides the acquisition of germ plasm resource data real-time intelligentization, improve the normalizations of data, accuracy and Availability reinforces the quality of data, promotes data and acquires input speed, promotes germ plasm resource census operations efficiency.
The present invention uses following technical scheme to solve above-mentioned technical problem:
A kind of agricultural Germplasm Resources Information real-time intelligent acquisition system, including data acquisition module, data check module;Its In:
The data acquisition module, including:
Unit is made a report in the automatic recognition of speech, is used for the speech recognition technology based on deep learning, realizes Germplasm Resources Information Voice Rapid input;
Intelligent Matching makes a report on unit, is used for the fuzzy matching technology based on historical data, realizes gathered data related information Auto-matching;
The data check module, including:
Iterative testing unit, for carrying out Repeatability checking to the data of acquisition, when verification is there are when duplicate data, into Row deduplication operation;
Normative inspection unit, for carrying out normative standard to the data of acquisition according to germ plasm resource quality of data index It examining, when there are the data for not meeting normative standard, the instruction resurveyed is returned to data acquisition module;
Integrity check unit, for carrying out integrity criteria to the data of acquisition according to germ plasm resource quality of data index It examining, when there are the data for not meeting integrity criteria, the instruction resurveyed is returned to data acquisition module.
Further, agriculture Germplasm Resources Information real-time intelligent acquisition system proposed by the invention, the agricultural germplasm Resource information real-time intelligent acquisition system further includes filing export module, the data shape for passing through verification to data check module At archive file, and export as table or document, picture.
Further, agriculture Germplasm Resources Information real-time intelligent acquisition system proposed by the invention, the filing export Module includes table lead-out unit, document lead-out unit, picture lead-out unit.
Further, agriculture Germplasm Resources Information real-time intelligent acquisition system proposed by the invention, the data acquisition Module further includes:
Manual data makes a report on unit, the data for being manually entered acquisition.
Further, agriculture Germplasm Resources Information real-time intelligent acquisition system proposed by the invention, the intelligent Matching Unit is made a report on, following action is configured to perform:It is auxiliary with artificial establishment rules, in existing germ plasm resource by including people The mode that work marks, pays attention to establishes automatically rule and generates library, and by using self study technology, refines germ plasm resource and character The correlation rule of information realizes the Auto-matching of germplasm among traditional varieties based on the rule.
Further, agriculture Germplasm Resources Information real-time intelligent acquisition system proposed by the invention, the voice are automatic Unit is made a report in identification, is configured to perform the Auto-matching that gathered data related information is realized in following action:
First, low noise or clean speech are handled by feature extraction and mixing probability graph model, generates pre- instruction Practice label, which is trained by complicated deep neural network, obtains the posterior probability of tag state, this posterior probability Label is trained, by the way that label training will be trained to simplify deep neural network, obtains identification model;
Wherein, the Optimality Criteria of identification model is:
In formula, AcIndicate the Posterior probability distribution of reference model, Ac(si|xc) indicate feature xcIt is identified as i-th of state Posterior probability;B indicates the Posterior probability distribution of identification model, B (si| after x) indicating that feature x is identified as i-th of state Test probability.
Further, agriculture Germplasm Resources Information real-time intelligent acquisition system proposed by the invention, the agricultural germplasm Resource information real-time intelligent acquisition system further includes audio and video evidence obtaining module, and the audio and video evidence obtaining module includes audio sound-recording list Member, video record unit, picture photo unit.
Further, agriculture Germplasm Resources Information real-time intelligent acquisition system proposed by the invention, the agricultural germplasm Resource information real-time intelligent acquisition system further includes system management module, and the system management module includes knowledge base management list Member, service management unit.
The present invention has the following technical effects using above technical scheme is compared with the prior art:
First, the present invention utilize internet+technology, can carry out whenever and wherever possible realize germ plasm resource data intelligence, Acquisition in real time reaches primary acquisition, a typing, primary filing, working efficiency is greatly improved, shortens collection period, reduces work Work amount and cost.
Second, second, by proposing the Germplasm Resources Information speech recognition technology based on deep learning, realize germplasm money The voice Rapid input of source information, improves typing working efficiency.
Third promotes the normalization and integrality of data, reduces the profession of personnel by the rule of data automatic Check It is required that and workload, while can ensure the quality of gathered data.
Description of the drawings
Fig. 1 is the germ plasm resource data acquisition flow figure of the present invention.
Fig. 2 is main function of system Organization Chart.
Fig. 3 is system according to hierarchical design Organization Chart.
Fig. 4 is that the present invention is based on the expansible systems technologies of loose coupling to realize frame diagram.
Fig. 5 is the association of data automatic Memory and intelligent Matching techniqueflow chart based on self study knowledge base.
Fig. 6 is the outdoor complex environment Germplasm Resources Information automatic recognition of speech input technology flow based on deep learning Figure.
Specific implementation mode
Technical scheme of the present invention is described in further detail below in conjunction with the accompanying drawings:
Those skilled in the art of the present technique are it is understood that unless otherwise defined, all terms used herein (including skill Art term and scientific terminology) there is meaning identical with the general understanding of the those of ordinary skill in fields of the present invention.Also It should be understood that those terms such as defined in the general dictionary should be understood that with in the context of the prior art The consistent meaning of meaning, and unless defined as here, will not be explained with the meaning of idealization or too formal.
Germ plasm resource is acquired, is counted, analyzing, summarizing through manual mode collection in worksite data, the existing system of typing before this It unites, being committed to upper management department after export table, document is summarized and arranged.It is possessed the disadvantage is that:
(1) the strongly professional non-technical personnel of manual type field investigation gathered data can not be competent at, heavy workload, accuracy Difference, efficiency are low.
(2) system typing need to repeat manual typing on the basis of artificial gathered data, and efficiency is low, error-prone.
(3) data such as germplasm among traditional varieties need typing after manually being inquired by modes such as network, books without intelligent Matching, Rate is low, error-prone.
This system utilizes internet+artificial intelligence+thinking, using development of Mobile Internet technology, proposes germ plasm resource data intelligence The real-time acquisition system of energyization, realizes the automatic data collection of mobile, and the hardware platform that can be adapted to mainstream includes mobile phone, tablet Etc. mobile devices.System realizes gatherer process using the Germplasm Resources Information speech recognition technology based on deep learning as core Typing is automated, and the fuzzy matching technology based on historical data realizes the Auto-matching of gathered data related information, realizes number According to the intelligence and facilitation of process, the efficiency of data acquisition is improved.
As shown in Figure 1, germ plasm resource data acquisition flow is as follows, the intelligence of collection in worksite personnel through the invention is adopted in real time Collecting system Develop Data acquires, including the essential information of germ plasm resource, trait information, acquisition information etc., and form includes word, figure Piece, voice etc., integrality, the normalization etc. for carrying out information in gatherer process are verified, if meeting verification rule, formation is returned Files, otherwise by revised, until meeting verification rule, document can export as table or document.
As shown in Figure 2, main function of system framework is made a report on by data, data check, filing export, audio and video evidence obtaining, is 5 module compositions of reason under the overall leadership.Wherein data make a report on made a report on including manual data, the automatic recognition of speech is made a report on, intelligent Matching makes a report on 3 A submodule;Data check includes 3 iterative testing, normative inspection, integrity checking submodules;Filing export includes table Lattice export, document export, picture export 3 submodules;Audio and video evidence obtaining includes audio sound-recording, video record, 3, picture photo Submodule;System administration includes 2 knowledge base management, user management submodules.
The present invention abides by industry technical specification, using ripe mobile application development technique, using consistent sharable Data model, to improve flexibility, scalability, safety and the oncurrent processing ability of system.
As shown in figure 3, system is designed according to layer architecture, include component layer, service layer, application layer from bottom to up. Wherein component layer provides the function of system-based, and builds system core service according to this, includes mainly user management, Seesion Management, system log, data-interface, data export, report form template, verification rule base, phonetic rules library, audio-video interface, number According to functions such as encryptions.System services layer provides core competence support, including 6 big kernel services for system application, is intelligent Matching Service is provided matches correlation of relevant information ability according to data information module;Speech-recognition services provide voice-based semantic knowledge Other ability;Information inquiry provides information integrated query ability;Audio and video evidence obtaining service provides audio and video recording, video recording and picture and adopts Collection ability;Model customization service offer imports and exports model customization ability;Document export service provides document and exports ability.Using The main experience and service for providing human-computer interaction of layer, includes mainly data inputting, data check, document export, video and audio recording, is The functions such as reason under the overall leadership.
As shown in figure 4, the present invention is based on the expansible systems technologies of loose coupling to realize frame.System can be according to different user Extending role module, while accordingly increasing entrance in SQlite, according to the update of data, UI is updated, Excel is adaptively extended And Word, it is stored to disk as desired by asynchronous thread.Wherein, role module and Excel and Word can roots in system Resilient expansion is needed according to user, and each Excel and Word lists are mutual indepedent from each other, loose coupling can divide as needed From or combination.
As shown in figure 5, the present invention is associated with using the data automatic Memory based on self study knowledge base and intelligent Matching technology: It is auxiliary with artificial establishment rules, in existing germ plasm resource by the modes such as manually marking, paying attention to, establishes automatically rule and generate Library, and by using self study technology, the correlation rule of germ plasm resource and trait information is refined, germplasm money is realized based on the rule The Auto-matching of source character, the rule base can be continuous automatic perfect and rich according to the increase of germ plasm resource collecting sample data Richness improves the accuracy of germplasm among traditional varieties information association.
As shown in fig. 6, in agriculture Germplasm Resources Information gatherer process, in order to facilitate collector's data inputting, propose A kind of outdoor complex environment Germplasm Resources Information automatic recognition of speech input technology based on deep learning is based on the technology shape At intelligent sound identification module.
Outdoors under complex environment, since by outdoor noise jamming, Germplasm Resources Information speech recognition accuracy is easy It is impacted.In order to reduce outdoor noise jamming, meanwhile, make full use of existing germ plasm resource voice messaging, it is proposed that one kind is based on The outdoor complex environment Germplasm Resources Information automatic recognition of speech input technology of deep learning.
First, low noise or clean speech are handled by feature extraction and mixing probability graph model, generates pre- instruction Practice label, for the pre-training label by complicated deep neural network (i.e. reference model) training, the posteriority for obtaining tag state is general Rate, this posterior probability i.e. training label, by the way that label training will be trained to simplify deep neural network (identification model).
Wherein, the Optimality Criteria of identification model is
Wherein, AcIndicate the Posterior probability distribution of reference model, Ac(si|xc) indicate feature xcIt is identified as i-th of state Posterior probability;B indicates the Posterior probability distribution of identification model, B (si| after x) indicating that feature x is identified as i-th of state Test probability.Identification model should approach the Posterior probability distribution of reference model as far as possible in the training process.
The present invention is by intelligent fuzzy matching, realization germ plasm resource datamation acquisition and matches, and reduces defeated manually Indegree improves data accuracy, concurrently sets multiple data check indexs, and related statements, germ plasm resource are exported by tool Data describe document etc., in such a way that speech recognition, intelligent Matching, automatic Verification are combined Develop Data verify, reduce manpower at This input carries out the analysis of germplasm among traditional varieties information using big data technology.
The above is only some embodiments of the present invention, it is noted that for the ordinary skill people of the art For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered It is considered as protection scope of the present invention.

Claims (8)

1. a kind of agricultural Germplasm Resources Information real-time intelligent acquisition system, which is characterized in that including data acquisition module, data core Look into module;Wherein:
The data acquisition module, including:
Unit is made a report in the automatic recognition of speech, is used for the speech recognition technology based on deep learning, realizes the language of Germplasm Resources Information Sound Rapid input;
Intelligent Matching makes a report on unit, is used for the fuzzy matching technology based on historical data, realizes gathered data related information oneself Dynamic matching;
The data check module, including:
Iterative testing unit when verification is there are when duplicate data, is gone for carrying out Repeatability checking to the data of acquisition It operates again;
Normative inspection unit, for carrying out normative standard inspection to the data of acquisition according to germ plasm resource quality of data index It testing, when there are the data for not meeting normative standard, the instruction resurveyed is returned to data acquisition module;
Integrity check unit, for carrying out integrity criteria's inspection to the data of acquisition according to germ plasm resource quality of data index It testing, when there are the data for not meeting integrity criteria, the instruction resurveyed is returned to data acquisition module.
2. agricultural Germplasm Resources Information real-time intelligent acquisition system according to claim 1, which is characterized in that the agricultural Germplasm Resources Information real-time intelligent acquisition system further includes filing export module, the number for passing through verification to data check module According to formation archive file, and export as table or document, picture.
3. agricultural Germplasm Resources Information real-time intelligent acquisition system according to claim 2, which is characterized in that the filing Export module includes table lead-out unit, document lead-out unit, picture lead-out unit.
4. agricultural Germplasm Resources Information real-time intelligent acquisition system according to claim 1, which is characterized in that the data Acquisition module further includes:
Manual data makes a report on unit, the data for being manually entered acquisition.
5. agricultural Germplasm Resources Information real-time intelligent acquisition system according to claim 1, it is characterised in that:The intelligence Unit is made a report in matching, is configured to perform following action:It is auxiliary with artificial establishment rules, passes through packet in existing germ plasm resource The mode for including artificial mark, paying attention to establishes automatically rule and generates library, and by using self study technology, refine germ plasm resource with The correlation rule of trait information realizes the Auto-matching of germplasm among traditional varieties based on the rule.
6. agricultural Germplasm Resources Information real-time intelligent acquisition system according to claim 1, which is characterized in that the voice Automatic identification makes a report on unit, is configured to perform the Auto-matching that gathered data related information is realized in following action:
First, low noise or clean speech are handled by feature extraction and mixing probability graph model, generates pre-training mark Label, the pre-training label are trained by complicated deep neural network, obtain the posterior probability of tag state, this posterior probability is instructed Practice label, by the way that label training will be trained to simplify deep neural network, obtains identification model;
Wherein, the Optimality Criteria of identification model is:
In formula, AcIndicate the Posterior probability distribution of reference model, Ac(si|xc) indicate feature xcAfter being identified as i-th of state Test probability;B indicates the Posterior probability distribution of identification model, B (si| x) indicate feature x be identified as i-th of state posteriority it is general Rate.
7. agricultural Germplasm Resources Information real-time intelligent acquisition system according to claim 1, it is characterised in that:The agricultural Germplasm Resources Information real-time intelligent acquisition system further includes audio and video evidence obtaining module, and the audio and video evidence obtaining module includes audio record Sound unit, video record unit, picture photo unit.
8. agricultural Germplasm Resources Information real-time intelligent acquisition system according to claim 1, it is characterised in that:The agricultural Germplasm Resources Information real-time intelligent acquisition system further includes system management module, and the system management module includes knowledge base management Unit, service management unit.
CN201810126766.2A 2018-02-08 2018-02-08 Agriculture Germplasm Resources Information real-time intelligent acquisition system Pending CN108335226A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111274232A (en) * 2020-01-15 2020-06-12 江苏古卓科技有限公司 Digital twinning processing system and method based on multivariate data manufacturing process
CN112395540A (en) * 2020-11-27 2021-02-23 郑州数农通大数据科技有限公司 Germplasm resource information sharing service system based on big data

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105303277A (en) * 2014-06-13 2016-02-03 北京农业信息技术研究中心 Germplasm resource management method and system
CN105702255A (en) * 2016-03-28 2016-06-22 华智水稻生物技术有限公司 Agricultural data acquisition method, agricultural data acquisition device and mobile terminal
CN106297776A (en) * 2015-05-22 2017-01-04 中国科学院声学研究所 A kind of voice keyword retrieval method based on audio template
CN106372059A (en) * 2016-08-30 2017-02-01 北京百度网讯科技有限公司 Information input method and information input device
CN106782507A (en) * 2016-12-19 2017-05-31 平安科技(深圳)有限公司 The method and device of voice segmentation
CN107277230A (en) * 2017-05-26 2017-10-20 广东欧珀移动通信有限公司 The voice broadcast method and Related product of message
CN107566675A (en) * 2017-10-17 2018-01-09 深圳市亿联无限科技有限公司 A kind of ADSL wireless routers and voice call integrated equipment and method to set up

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105303277A (en) * 2014-06-13 2016-02-03 北京农业信息技术研究中心 Germplasm resource management method and system
CN106297776A (en) * 2015-05-22 2017-01-04 中国科学院声学研究所 A kind of voice keyword retrieval method based on audio template
CN105702255A (en) * 2016-03-28 2016-06-22 华智水稻生物技术有限公司 Agricultural data acquisition method, agricultural data acquisition device and mobile terminal
CN106372059A (en) * 2016-08-30 2017-02-01 北京百度网讯科技有限公司 Information input method and information input device
CN106782507A (en) * 2016-12-19 2017-05-31 平安科技(深圳)有限公司 The method and device of voice segmentation
CN107277230A (en) * 2017-05-26 2017-10-20 广东欧珀移动通信有限公司 The voice broadcast method and Related product of message
CN107566675A (en) * 2017-10-17 2018-01-09 深圳市亿联无限科技有限公司 A kind of ADSL wireless routers and voice call integrated equipment and method to set up

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111274232A (en) * 2020-01-15 2020-06-12 江苏古卓科技有限公司 Digital twinning processing system and method based on multivariate data manufacturing process
CN112395540A (en) * 2020-11-27 2021-02-23 郑州数农通大数据科技有限公司 Germplasm resource information sharing service system based on big data

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Application publication date: 20180727