ECSP22013175A - Métodos y sistemas para el diagnóstico de enfermedades, cambios fisiológicos u otras condiciones internas en crustáceos por medios no invasivos - Google Patents
Métodos y sistemas para el diagnóstico de enfermedades, cambios fisiológicos u otras condiciones internas en crustáceos por medios no invasivosInfo
- Publication number
- ECSP22013175A ECSP22013175A ECSENADI202213175A ECDI202213175A ECSP22013175A EC SP22013175 A ECSP22013175 A EC SP22013175A EC SENADI202213175 A ECSENADI202213175 A EC SENADI202213175A EC DI202213175 A ECDI202213175 A EC DI202213175A EC SP22013175 A ECSP22013175 A EC SP22013175A
- Authority
- EC
- Ecuador
- Prior art keywords
- crustaceans
- systems
- methods
- diagnosis
- diseases
- Prior art date
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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)
- Image Analysis (AREA)
Abstract
Se describen métodos y sistemas para mejoras en la acuicultura que permiten aumentar el número y la eficiencia de recolección de crustáceos en un entorno de acuicultura, al identificar y predecir las condiciones internas y/o fisiológicas de los crustáceos con base en las características externas que se visualizan a través de medios no invasivos.
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201962889313P | 2019-08-20 | 2019-08-20 | |
| US202062956759P | 2020-01-03 | 2020-01-03 | |
| US202062956764P | 2020-01-03 | 2020-01-03 | |
| US202062956751P | 2020-01-03 | 2020-01-03 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| ECSP22013175A true ECSP22013175A (es) | 2022-04-29 |
Family
ID=72709328
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| ECSENADI202213175A ECSP22013175A (es) | 2019-08-20 | 2022-02-18 | Métodos y sistemas para el diagnóstico de enfermedades, cambios fisiológicos u otras condiciones internas en crustáceos por 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) | NO20220222A1 (es) |
| WO (3) | WO2021032474A1 (es) |
Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114341951A (zh) * | 2019-08-20 | 2022-04-12 | 阿卡蒂科有限公司 | 通过非侵入性手段诊断甲壳类动物的疾病、生理变化或其他内部状况的方法和系统 |
| 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 |
| WO2023137177A1 (en) * | 2022-01-13 | 2023-07-20 | University Of Connecticut | Conjoined twin network for treatment and analysis |
| 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 |
| CN115049952B (zh) * | 2022-04-24 | 2023-04-07 | 南京农业大学 | 一种基于多尺度级联感知深度学习网络的幼鱼肢体识别方法 |
| 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 |
| EP4659209A1 (en) * | 2023-01-30 | 2025-12-10 | Diptera.AI Ltd. | System and methods for generation of ground truth imagery data of living creatures |
| CN116448682B (zh) * | 2023-04-20 | 2025-05-27 | 郑州大学 | 基于高光谱成像的龟甲年限鉴别方法、鉴别模型 |
| WO2025062366A1 (en) * | 2023-09-22 | 2025-03-27 | Aquaticode Ltd. | In channel analysis of aquatic animals based on non-invasive determination of animal characteristics |
| CN119672337A (zh) * | 2024-11-29 | 2025-03-21 | 中国水产科学研究院渔业机械仪器研究所 | 一种水下多目立体视觉的精准鱼体分割系统及分割方法 |
| CN120593470B (zh) * | 2025-08-04 | 2025-10-10 | 大连榴客食品有限公司 | 一种用于冷库贮藏的智能变温控制方法及系统 |
Family Cites Families (23)
| 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. |
| CA2088903A1 (en) * | 1993-02-04 | 1994-08-05 | Robert Brown | Method for identifying marked fish |
| US10482317B2 (en) | 2011-05-09 | 2019-11-19 | Catherine Grace McVey | Image analysis for determining characteristics of 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 |
| CA3064857A1 (en) * | 2017-05-29 | 2018-12-06 | Ecotone As | Method and system for underwater hyperspectral imaging of fish |
| CN108269369A (zh) * | 2017-09-27 | 2018-07-10 | 中山市宾哥网络科技有限公司 | 结算箱及其结算方法 |
| 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 |
| US10896348B2 (en) * | 2019-01-29 | 2021-01-19 | Intel Corporation | End to end framework for geometry-aware multi-scale keypoint detection and matching in fisheye images |
| CN114341951A (zh) * | 2019-08-20 | 2022-04-12 | 阿卡蒂科有限公司 | 通过非侵入性手段诊断甲壳类动物的疾病、生理变化或其他内部状况的方法和系统 |
| 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 CN CN202080058708.6A patent/CN114341951A/zh active Pending
- 2020-08-04 US US17/642,321 patent/US20220335721A1/en not_active Abandoned
- 2020-08-04 WO PCT/EP2020/071939 patent/WO2021032474A1/en not_active Ceased
- 2020-08-04 US US16/984,496 patent/US11282199B2/en active Active
- 2020-08-04 WO PCT/EP2020/071937 patent/WO2021032472A1/en not_active Ceased
- 2020-08-04 WO PCT/EP2020/071938 patent/WO2021032473A2/en not_active Ceased
-
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 NO NO20220219A patent/NO348646B1/en unknown
- 2022-02-18 EC ECSENADI202213175A patent/ECSP22013175A/es unknown
-
2023
- 2023-05-30 NO NO20230610A patent/NO348638B1/en unknown
Also Published As
| Publication number | Publication date |
|---|---|
| NO20220219A1 (es) | 2022-02-18 |
| US20210056689A1 (en) | 2021-02-25 |
| WO2021032473A2 (en) | 2021-02-25 |
| US20220172363A1 (en) | 2022-06-02 |
| WO2021032472A1 (en) | 2021-02-25 |
| CL2022000392A1 (es) | 2022-10-21 |
| US20220335721A1 (en) | 2022-10-20 |
| CN114341951A (zh) | 2022-04-12 |
| NO348646B1 (en) | 2025-04-14 |
| NO20220222A1 (es) | 2022-02-16 |
| US11798262B2 (en) | 2023-10-24 |
| WO2021032473A3 (en) | 2021-04-08 |
| NO348638B1 (en) | 2025-04-14 |
| NO20230610A1 (en) | 2022-02-16 |
| WO2021032474A1 (en) | 2021-02-25 |
| CL2022000391A1 (es) | 2022-11-18 |
| US11282199B2 (en) | 2022-03-22 |
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