CL2022000391A1 - Métodos y sistemas de predicción de la esmoltificación en peces a través de medios no invasivos - Google Patents
Métodos y sistemas de predicción de la esmoltificación en peces a través de medios no invasivosInfo
- Publication number
- CL2022000391A1 CL2022000391A1 CL2022000391A CL2022000391A CL2022000391A1 CL 2022000391 A1 CL2022000391 A1 CL 2022000391A1 CL 2022000391 A CL2022000391 A CL 2022000391A CL 2022000391 A CL2022000391 A CL 2022000391A CL 2022000391 A1 CL2022000391 A1 CL 2022000391A1
- Authority
- CL
- Chile
- Prior art keywords
- fish
- systems
- methods
- smoltification
- predicting
- Prior art date
Links
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
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- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6809—Methods for determination or identification of nucleic acids involving differential detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
- G06V10/7753—Incorporation of unlabelled data, e.g. multiple instance learning [MIL]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/70—Labelling scene content, e.g. deriving syntactic or semantic representations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10048—Infrared image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/68—Food, e.g. fruit or vegetables
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Artificial Intelligence (AREA)
- Medical Informatics (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Organic Chemistry (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- Zoology (AREA)
- Wood Science & Technology (AREA)
- Analytical Chemistry (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Microbiology (AREA)
- Genetics & Genomics (AREA)
- Immunology (AREA)
- Radiology & Medical Imaging (AREA)
- Quality & Reliability (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Biotechnology (AREA)
- Biochemistry (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Biomedical Technology (AREA)
- Mathematical Physics (AREA)
- Farming Of Fish And Shellfish (AREA)
Abstract
Se divulgan métodos y sistemas de mejora de la acuicultura que permiten aumentar la cantidad de peces y la eficacia de su captura en una instalación acuícola mediante la identificación y predicción de condiciones internas y/o condiciones fisiológicas de los peces de acuerdo con características externas de las cuales se capturan imágenes a través de medios no invasivo
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201962889313P | 2019-08-20 | 2019-08-20 | |
US202062956764P | 2020-01-03 | 2020-01-03 | |
US202062956759P | 2020-01-03 | 2020-01-03 | |
US202062956751P | 2020-01-03 | 2020-01-03 |
Publications (1)
Publication Number | Publication Date |
---|---|
CL2022000391A1 true CL2022000391A1 (es) | 2022-11-18 |
Family
ID=72709328
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CL2022000392A CL2022000392A1 (es) | 2019-08-20 | 2022-02-17 | Métodos y sistemas para el reconocimiento de los peces y características de los peces a través de medios no invasivos |
CL2022000391A CL2022000391A1 (es) | 2019-08-20 | 2022-02-17 | Métodos y sistemas de predicción de la esmoltificación en peces a través de medios no invasivos |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CL2022000392A CL2022000392A1 (es) | 2019-08-20 | 2022-02-17 | Métodos y sistemas para el reconocimiento de los peces y características de los peces a través de medios no invasivos |
Country Status (6)
Country | Link |
---|---|
US (3) | US20220335721A1 (es) |
CN (1) | CN114341951A (es) |
CL (2) | CL2022000392A1 (es) |
EC (1) | ECSP22013175A (es) |
NO (3) | NO20230610A1 (es) |
WO (3) | WO2021032472A1 (es) |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
NO20230610A1 (en) * | 2019-08-20 | 2022-02-16 | Aquaticode Ltd | Methods and systems for recognizing fish and traits of fish through non-invasive means |
CN111696114A (zh) * | 2020-04-13 | 2020-09-22 | 浙江大学 | 一种基于水下成像分析南美白对虾饥饿程度识别方法与装置 |
CN113435396B (zh) * | 2021-07-13 | 2022-05-20 | 大连海洋大学 | 基于图像自适应抗噪的水下鱼群检测方法 |
US20230122144A1 (en) * | 2021-10-18 | 2023-04-20 | Douglas D. BACON | System to Identify and Isolate Selected Crustaceans Using Flipping Device to View Ventral Surface |
CN114612397B (zh) * | 2022-03-02 | 2024-12-03 | 广东省农业科学院农业经济与信息研究所 | 鱼苗分选方法、系统、电子设备及存储介质 |
CN115375977B (zh) * | 2022-10-27 | 2023-01-31 | 青岛杰瑞工控技术有限公司 | 一种深海养殖鱼类体征参数识别系统与识别方法 |
WO2024161392A1 (en) * | 2023-01-30 | 2024-08-08 | Diptera.Ai Ltd | System and methods for generation of ground truth imagery data of living creatures |
WO2025062366A1 (en) * | 2023-09-22 | 2025-03-27 | Aquaticode Ltd. | In channel analysis of aquatic animals based on non-invasive determination of animal characteristics |
Family Cites Families (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
NO864140D0 (no) | 1986-10-16 | 1986-10-16 | Papirind Forskningsinst | Fremgangsmaate ved kvalitetsbestemmelse av oppdrettsfisk, samt anordning for utfoerelse av fremgangsmaaten. |
CA2872841C (en) | 2011-05-09 | 2019-08-06 | Catherine Grace Mcvey | Image analysis for determining characteristics of animals and humans |
CN102521600A (zh) * | 2011-11-03 | 2012-06-27 | 北京农业信息技术研究中心 | 基于机器视觉的南美白对虾病害识别方法及系统 |
US9298978B1 (en) * | 2012-05-03 | 2016-03-29 | Joseph F Hlatky | Optical fish recognition |
CN103400147B (zh) * | 2013-07-25 | 2016-07-06 | 中国农业大学 | 基于图像处理的目标鱼识别方法及系统 |
CN104777802A (zh) * | 2015-01-20 | 2015-07-15 | 厦门水贝自动化科技有限公司 | 一种软壳蟹集约化养殖监控系统 |
WO2017221259A1 (en) * | 2016-06-23 | 2017-12-28 | S Jyothi | Automatic recognition of indian prawn species |
NO341960B1 (no) | 2016-07-13 | 2018-03-05 | Biosort As | Anordning for å sortere ut fisk |
US10546242B2 (en) * | 2017-03-03 | 2020-01-28 | General Electric Company | Image analysis neural network systems |
NO343355B1 (en) | 2017-03-13 | 2019-02-11 | Skala Maskon As | Method and system for automated vaccination and sorting alive fish |
AU2018278761A1 (en) * | 2017-05-29 | 2019-12-05 | Ecotone As | Method and system for underwater hyperspectral imaging of fish |
CN209132890U (zh) * | 2017-09-27 | 2019-07-19 | 中山市宾哥网络科技有限公司 | 结算箱 |
CN108197666A (zh) * | 2018-01-30 | 2018-06-22 | 咪咕文化科技有限公司 | 一种图像分类模型的处理方法、装置及存储介质 |
JP6401411B1 (ja) * | 2018-02-13 | 2018-10-10 | 株式会社Aiハヤブサ | 人工知能による漁獲物識別システム、管理システム及び物流システム |
CN108564166A (zh) * | 2018-03-22 | 2018-09-21 | 南京大学 | 基于带对称跨层连接的卷积神经网络半监督特征学习方法 |
CN109583289A (zh) * | 2018-09-27 | 2019-04-05 | 中国农业大学 | 蟹的性别识别方法和装置 |
CN109591982B (zh) * | 2018-12-29 | 2020-04-14 | 浙江大学 | 一种无人监控水下养殖机器人 |
NO20230610A1 (en) * | 2019-08-20 | 2022-02-16 | Aquaticode Ltd | Methods and systems for recognizing fish and traits of fish through non-invasive means |
US11594058B2 (en) * | 2019-11-12 | 2023-02-28 | X Development Llc | Entity identification using machine learning |
JP6826356B1 (ja) | 2020-03-03 | 2021-02-03 | 樹 川邉 | 魚類雌雄判別装置 |
NO347369B1 (en) | 2020-12-18 | 2023-10-02 | Greenfox Marine As | Automatic Scanning System for Fish |
-
2020
- 2020-08-04 NO NO20230610A patent/NO20230610A1/en unknown
- 2020-08-04 US US17/642,321 patent/US20220335721A1/en active Pending
- 2020-08-04 WO PCT/EP2020/071937 patent/WO2021032472A1/en active Application Filing
- 2020-08-04 CN CN202080058708.6A patent/CN114341951A/zh active Pending
- 2020-08-04 WO PCT/EP2020/071939 patent/WO2021032474A1/en active Application Filing
- 2020-08-04 US US16/984,496 patent/US11282199B2/en active Active
- 2020-08-04 WO PCT/EP2020/071938 patent/WO2021032473A2/en active Application Filing
-
2022
- 2022-02-11 US US17/669,587 patent/US11798262B2/en active Active
- 2022-02-16 NO NO20220222A patent/NO20220222A1/en unknown
- 2022-02-17 CL CL2022000392A patent/CL2022000392A1/es unknown
- 2022-02-17 CL CL2022000391A patent/CL2022000391A1/es unknown
- 2022-02-18 EC ECSENADI202213175A patent/ECSP22013175A/es unknown
- 2022-02-18 NO NO20220219A patent/NO20220219A1/en unknown
Also Published As
Publication number | Publication date |
---|---|
US11282199B2 (en) | 2022-03-22 |
ECSP22013175A (es) | 2022-04-29 |
NO20220219A1 (es) | 2022-02-18 |
US11798262B2 (en) | 2023-10-24 |
WO2021032474A1 (en) | 2021-02-25 |
US20210056689A1 (en) | 2021-02-25 |
CN114341951A (zh) | 2022-04-12 |
NO20220222A1 (es) | 2022-02-16 |
WO2021032472A1 (en) | 2021-02-25 |
WO2021032473A3 (en) | 2021-04-08 |
WO2021032473A2 (en) | 2021-02-25 |
US20220172363A1 (en) | 2022-06-02 |
US20220335721A1 (en) | 2022-10-20 |
NO20230610A1 (en) | 2022-02-16 |
CL2022000392A1 (es) | 2022-10-21 |
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