WO2022126574A1 - Système et appareil à algorithme de surveillance d'environnement par ia et de diagnostic et de traitement par ia pour animaux et plantes - Google Patents

Système et appareil à algorithme de surveillance d'environnement par ia et de diagnostic et de traitement par ia pour animaux et plantes Download PDF

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WO2022126574A1
WO2022126574A1 PCT/CN2020/137503 CN2020137503W WO2022126574A1 WO 2022126574 A1 WO2022126574 A1 WO 2022126574A1 CN 2020137503 W CN2020137503 W CN 2020137503W WO 2022126574 A1 WO2022126574 A1 WO 2022126574A1
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diagnosis
algorithm
treatment
data output
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钟杰东
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钟杰东
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    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01K—ANIMAL HUSBANDRY; AVICULTURE; APICULTURE; PISCICULTURE; FISHING; REARING OR BREEDING ANIMALS, NOT OTHERWISE PROVIDED FOR; NEW BREEDS OF ANIMALS
    • A01K29/00—Other apparatus for animal husbandry
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Forestry; Mining

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  • the invention relates to a system and a device, in particular to an AI environment monitoring and AI diagnosis and treatment algorithm system and device for animals and plants.
  • the technical problem to be solved by the present invention is to overcome the defects in the prior art, and now provides an AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants and its device, which adopts AI environment monitoring hybrid algorithm and AI diagnosis and treatment algorithm, combined with modern Technology and network conduct global health monitoring and tracking of animals and plants and even human food, monitor and predict the health of animals and plants for timely treatment, and at the same time provide guarantees for human food security.
  • the present invention is an AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants, which is characterized in that the AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants includes a main control chip data output module and a data output module related to the main control chip.
  • the output module is connected to an environment detection unit, a target detection unit, an AI environment monitoring hybrid algorithm module and an AI diagnosis and treatment algorithm module.
  • the AI environment monitoring hybrid algorithm module includes an AI environment quantitative value unit and an AI environment monitoring hybrid weight algorithm unit.
  • the AI The environment monitoring hybrid algorithm module includes an AI environment comprehensive evaluation unit, the AI diagnosis and treatment algorithm module includes an AI diagnosis and treatment comprehensive evaluation unit, and the environment detection unit is used to detect the living environment of animals and plants and obtain environmental data.
  • the main control chip data output module is used to receive, manage and control the environmental data and transmit the environmental data to the AI environmental monitoring hybrid algorithm module , and is also used to receive, manage and control the health data and transmit the health data to the AI diagnosis and treatment algorithm module;
  • the AI environment monitoring hybrid algorithm module is used to obtain the data obtained by quantifying the AI environment quantification value unit.
  • the quantified value identifiable by the AI environment monitoring mixed weight algorithm unit, the AI environment monitoring mixed weight algorithm unit is used to calculate the quantified value, and the comprehensive environmental result is obtained through the comprehensive evaluation by the AI environment comprehensive evaluation unit.
  • the environmental comprehensive result is sent to the AI diagnosis and treatment algorithm module, and the AI diagnosis and treatment algorithm module is used to receive the environmental comprehensive result and the health data for calculation, and perform comprehensive evaluation through the AI diagnosis and treatment comprehensive evaluation unit to obtain a comprehensive health diagnosis and treatment. result.
  • the environmental detection unit includes a temperature detection unit, a humidity detection unit, an air pressure detection unit, a noise detection unit, an ammonia detection unit, an ultraviolet detection unit, a carbon dioxide detection unit, a suspended particulate matter PM10 detection unit, a temperature detection unit, a humidity detection unit Detection unit, air pressure detection unit, noise detection unit and gaseous harmful substance TVOC detection unit.
  • the target detection unit includes a video recording unit, a photographing unit, a target body temperature detection unit, a target body pulse detection unit and a target body odor detection unit
  • the main control chip data output module includes a recording data output unit, a video data output unit unit, photographing data output unit, body temperature data output unit, pulse data output unit, excrement data output unit and oral exhaust gas data output unit
  • the AI diagnosis and treatment algorithm module includes AI auditory diagnosis and treatment algorithm unit, AI visual diagnosis and treatment algorithm unit, AI A tactile diagnosis and treatment algorithm unit and an AI olfactory diagnosis and treatment algorithm unit
  • the video recording unit is respectively connected to the recording data output unit and the video recording data output unit
  • the photographing unit is connected to the photographing data output unit
  • the recording data output unit The unit is connected to the AI auditory diagnosis and treatment algorithm unit
  • the video data output unit and the photo data output unit are connected to the AI visual diagnosis and treatment algorithm unit
  • the target body temperature detection unit is connected to the body temperature data output unit
  • the target body pulse detection unit is connected with
  • the AI auditory diagnosis and treatment algorithm unit includes an auditory algorithm module and an AI auditory nerve unit connected to the auditory algorithm module, and the auditory algorithm module is connected to the video data output unit;
  • the AI visual diagnosis and treatment algorithm unit includes A behavioral vision algorithm unit and an AI visual neural unit connected to the behavioral vision algorithm unit, the visual algorithm module includes a behavioral vision algorithm unit, a dynamic vision algorithm module and a static vision algorithm module, the behavioral vision algorithm unit and the dynamic vision algorithm module
  • the visual algorithm modules are all connected with the video recording data output unit, and the static visual algorithm module is connected with the photographing data output unit;
  • the AI tactile diagnosis and treatment algorithm unit includes a tactile data quantification module, a tactile algorithm module and an AI tactile sense that are connected in sequence Nerve unit, the tactile data quantification module is respectively connected with the body temperature data output unit and the pulse data output unit,
  • the AI olfactory diagnosis and treatment algorithm unit includes an olfactory algorithm module and an AI olfactory nerve unit connected with the olfactory algorithm module , the o
  • the AI auditory nerve unit, the AI visual nerve unit, the AI tactile nerve unit, and the AI olfactory nerve unit are all connected to the AI diagnosis and treatment comprehensive evaluation unit.
  • the AI diagnosis and treatment algorithm module further includes a deep intelligent learning brain unit, and the deep intelligent learning brain unit is configured to receive the comprehensive health diagnosis and treatment results of the AI diagnosis and treatment comprehensive evaluation unit, and to evaluate the comprehensive health diagnosis and treatment results. Perform deep learning to obtain a health diagnosis and treatment report, and send the health diagnosis and treatment report to the auditory algorithm module, the visual algorithm module, the tactile algorithm module and the tactile algorithm module respectively.
  • the AI diagnosis and treatment algorithm unit further includes a target volume big data unit, and the target volume big data unit includes a mouth big data unit, a facial feature big data unit, a body temperature big data unit, a pulse big data unit, and a gas big data unit;
  • the AI diagnosis and treatment algorithm unit further includes an auditory disease prediction unit, a visual disease prediction unit, a tactile disease prediction unit and an olfactory disease prediction unit, and the auditory algorithm module further includes a mouth organ capture unit, a mouth behavior extraction unit and a mouth.
  • the visual algorithm module further includes a facial feature capture unit, a facial feature behavior extraction unit, and a facial feature state determination unit
  • the tactile algorithm module further includes a body temperature condition determination unit and a pulse condition determination unit
  • the olfactory algorithm module also includes A gas composition analysis unit, a gas characteristic extraction unit and a gas state determination unit
  • the AI diagnosis and treatment comprehensive evaluation unit includes an AI diagnosis and treatment weight algorithm unit, a disease type prediction scoring ratio unit and a disease type determination result unit, wherein:
  • the mouth organ capture unit, the mouth behavior extraction unit, the mouth big data unit, the mouth state determination unit, the AI auditory nerve unit and the auditory disease prediction unit are connected in sequence;
  • the unit, the facial feature behavior extraction unit, the facial feature big data unit, the facial feature state determination unit, the AI visual nerve unit, and the visual disease prediction unit are connected in sequence, and the body temperature big data unit, the body temperature
  • the auditory disease prediction unit, the visual disease prediction unit, the tactile disease prediction unit, and the olfactory disease prediction unit are all connected to the AI diagnosis and treatment weight algorithm unit, and the disease determination result unit uses After receiving the results of the diagnosis and treatment weighting algorithm of the AI diagnosis and treatment weighting algorithm unit and performing disease type determination to obtain a disease type conclusion, it is also used to send the disease type conclusion to the deep intelligent learning brain unit, and the deep intelligent learning brain unit connecting with the target big data unit;
  • the disease prediction percentage unit is configured to receive the diagnosis and treatment weighting algorithm result of the AI diagnosis and treatment weighting algorithm unit, and perform prediction and percentage conversion to obtain and output the diagnosis and treatment result.
  • the AI diagnosis and treatment algorithm unit further includes a disease type big data unit, and the disease type big data unit is configured to send the disease type big data unit to the AI diagnosis and treatment comprehensive evaluation unit.
  • the AI environment monitoring hybrid algorithm module further includes an AI environment monitoring alarm display unit, and the AI environment monitoring alarm display unit further includes a first-level alarm unit, a second-level alarm unit, and a third-level alarm unit.
  • the AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants further includes a power adapter unit and an IoT card module unit, and both the power adapter unit and the IoT card module unit are related to the data of the main control chip.
  • the output module is connected, the power adapter unit is used to convert the external voltage into a voltage that supports the operation of the animal and plant health monitoring system, and the IoT card module unit is the animal and plant health monitoring system and 4G network, 5G networks establish transmission channels to provide communication transmission services.
  • An AI environment monitoring and AI diagnosis and treatment algorithm device for animals and plants characterized in that the animal and plant data collection, monitoring, diagnosis and treatment device comprises the AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants described in any one of the preceding claims .
  • the invention is based on a modern computer carrier, utilizes a convenient big data unit, adopts AI environment monitoring hybrid algorithm and AI diagnosis and treatment algorithm to carry out artificial intelligence planting and breeding, that is, artificial intelligence technology is used in all aspects of vision, touch, hearing and smell. Monitoring is equivalent to the functions of seeing, smelling, asking, and diagnosing doctors from ancient times to the present. Combined with modern technology and the Internet, it can monitor and track the global health of animals and plants and even human food, and monitor and predict the health of animals and plants. Timely treatment, while providing protection for human food security.
  • FIG. 1 is a schematic diagram of the overall structure of a preferred embodiment of the present invention.
  • FIG. 2 is a schematic diagram of the monitoring and diagnosis structure of the target detection system, the main control chip data output unit and the AI diagnosis and treatment algorithm unit according to the preferred embodiment of the present invention.
  • FIG. 3 is a schematic structural diagram of an AI diagnosis and treatment algorithm unit according to a preferred embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram of a preferred embodiment of the present invention.
  • an AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants of the present invention includes a main control chip data output module 1 and an environmental detection unit 3 connected to the main control chip data output module 1 , target detection unit 4, target detection unit 44, AI environmental monitoring hybrid algorithm module 2 and AI diagnosis and treatment algorithm module 5, the AI environmental monitoring hybrid algorithm module 2 includes an AI environmental quantitative value unit 201 and an AI environmental monitoring hybrid weight algorithm unit 202,
  • the AI environment monitoring hybrid algorithm module 2 includes an AI environment comprehensive evaluation unit 2021, the AI diagnosis and treatment algorithm module 5 includes an AI diagnosis and treatment comprehensive evaluation unit, and the environment detection unit 3 is used to detect the living environment of animals and plants and obtain environmental data.
  • the target detection unit 4 The target detection unit 44 is used to detect and obtain the health status of animals and plants and obtain health data, and the main control chip data output module 1 is used to receive, manage and control the environmental data and The environmental data is transmitted to the AI environmental monitoring hybrid algorithm module 2, and is also used to receive, manage and control the health data and transmit the health data to the AI diagnosis and treatment algorithm module 5; the AI environmental monitoring hybrid algorithm Module 2 is configured to obtain a quantified value identifiable by the AI environment monitoring mixed weight algorithm unit 202 by performing quantization by the AI environment quantification value unit 201, and the AI environment monitoring mixed weight algorithm unit 202 is used to perform a quantification operation on the quantized value.
  • AI environmental monitoring mixed weight algorithm It is the weight distribution of the original data. The proportion of weight distribution is adjusted by real-time, on-site time (0-24 hours), climate, season, latitude and longitude area of the earth, etc.
  • AI environment quantification value unit 201 It is to digitize or convert external data, that is, quantitative conversion, from professional data to data and charts that ordinary people can understand.
  • the environment detection unit 3 includes a temperature detection unit 301, a humidity detection unit 302, an air pressure detection unit 303, a noise detection unit 304, an ammonia detection unit 305, an ultraviolet detection unit 306, a carbon dioxide detection unit 307, and a suspended particulate matter PM2. 5.
  • These environmental detection units detect temperature, humidity, air pressure, noise, ammonia concentration, ultraviolet intensity, carbon dioxide concentration, suspended particulate matter PM2.5, suspended particulate matter PM10 and the concentration of gaseous harmful substances TVOC, etc. environment for inspection.
  • the target detection unit 4 and the target detection unit 44 include a video recording unit 401, a photographing unit 402, a target body temperature detection unit 403, a target body pulse detection unit 404 and a target body odor detection unit 405, and the main control chip data output Module 1 includes a recording data output unit 101, a video data output unit 102, a photo data output unit 103, a body temperature data output unit 104, a pulse data output unit 105, an excrement data output unit 106 and an oral exhaust gas data output unit 107.
  • the AI diagnosis and treatment algorithm module 5 includes an AI auditory diagnosis and treatment algorithm unit 501, an AI visual diagnosis and treatment algorithm unit 502, an AI tactile diagnosis and treatment algorithm unit 503 and an AI smell diagnosis and treatment algorithm unit 504.
  • the video recording unit 401 is connected to the recording data output unit 101 and the recording data output unit 101 respectively.
  • the recording data output unit 102 is connected, the photographing unit 402 is connected with the photographing data output unit 103, the recording data output unit 101 is connected with the AI auditory diagnosis and treatment algorithm unit 501, the recording data output unit 102, the The photo data output unit 103 is connected to the AI visual diagnosis and treatment algorithm unit 502, the target body temperature detection unit 403 is connected to the body temperature data output unit 104, and the target body pulse detection unit 404 is connected to the pulse data output.
  • the body temperature data output unit 104 and the pulse data output unit 105 are both connected to the AI tactile diagnosis and treatment algorithm unit 503, and the target body odor detection unit 405 is connected to the excrement data output unit 106,
  • the oral exhaust gas data output unit 107 is connected, and the excrement data output unit 106 and the oral exhaust gas data output unit 107 are both connected to the AI olfactory diagnosis and treatment algorithm unit 504 .
  • the AI auditory diagnosis and treatment algorithm unit 501 includes an auditory algorithm module 5011 and an AI auditory nerve unit 5012 connected to the auditory algorithm module 5011, and the auditory algorithm module 5011 is connected to the video recording data output unit 102;
  • the The AI vision diagnosis and treatment algorithm unit 502 includes a behavioral vision algorithm unit 5021a and an AI vision neural unit 5022 connected to the behavioral vision algorithm unit 5021a.
  • the vision algorithm module 5021 includes a behavioral vision algorithm unit 5021a, a dynamic vision algorithm module 5021b and a static vision algorithm
  • the algorithm module 5021c, the behavioral vision algorithm unit 5021a and the dynamic vision algorithm module 5021b are both connected to the video recording data output unit 102, and the static vision algorithm module 5021c is connected to the photographing data output unit 103;
  • the tactile diagnosis and treatment algorithm unit 503 includes a tactile data quantification module 5034, a tactile algorithm module 5031 and an AI tactile nerve unit 5032 connected in sequence: the monitored tactile data is subjected to digital or picture display quantification conversion.
  • the tactile data quantification module 5034 is connected to the body temperature data output unit 104 and the pulse data output unit 105 respectively, and the AI olfactory diagnosis and treatment algorithm unit 504 includes an olfactory algorithm module 5041 and an AI connected to the olfactory algorithm module 5041.
  • the olfactory nerve unit 5042, and the olfactory algorithm module 5041 are respectively connected with the excrement data output unit 106 and the oral exhaust gas data output unit 107; wherein:
  • the AI auditory nerve unit 5012 , the AI visual nerve unit 5022 , the AI tactile nerve unit 5032 , and the AI olfactory nerve unit 5042 are all connected to the AI diagnosis and treatment comprehensive evaluation unit 505 .
  • the AI diagnosis and treatment algorithm module 5 further includes a deep intelligent learning brain unit 507, and the deep intelligent learning brain unit 507 is configured to receive the comprehensive results of the health diagnosis and treatment from the AI diagnosis and treatment comprehensive evaluation unit 505, and to analyze the Perform deep learning on the comprehensive results of health diagnosis and treatment to obtain a health diagnosis and treatment report, and send the health diagnosis and treatment report to the auditory algorithm module 5011 , the visual algorithm module 5021 , the tactile algorithm module 5031 and the tactile algorithm module 5031 respectively.
  • the AI diagnosis and treatment algorithm unit further includes a target volume big data unit 508, and the target volume big data unit 508 includes a mouth big data unit 5081, a facial features big data unit 5082, a body temperature big data unit 5083, and a pulse big data unit 5084.
  • body temperature big data unit 5083 receives body temperature data input
  • pulse big data unit 5084 receives pulse data input
  • the AI diagnosis and treatment algorithm unit also includes auditory disease prediction unit 5013, visual disease prediction unit 5023, tactile The disease type prediction unit 5033 and the olfactory disease type prediction unit 5043
  • the auditory algorithm module 5011 further includes a mouth organ capture unit 5011a, a mouth behavior extraction unit 5011b and a mouth state determination unit 5011c
  • the visual algorithm module 5021 also includes five sense organs capture unit Unit 5021a, facial features behavior extraction unit 5021b, facial features state determination unit 5021c
  • the tactile algorithm module 5031 further includes a body temperature condition determination unit 5031a and a pulse condition determination unit 5031b
  • the smell algorithm module 5041 also includes a gas component analysis unit 5041a, a gas The feature extraction unit 5041b and the gas state determination unit 5041c
  • the AI diagnosis and treatment comprehensive evaluation unit 505 includes an AI diagnosis and treatment weight algorithm unit 5051, a disease type prediction score ratio unit
  • the mouth organ capture unit 5011a, the mouth behavior extraction unit 5011b, the mouth big data unit 5081, the mouth state determination unit 5011c, the AI auditory nerve unit 5012 and the hearing disease prediction unit 5013 are connected in sequence , the mouth organ capture unit 5011a receives the recording data input;
  • the facial features capture unit 5021a, the facial feature behavior extraction unit 5021b, the facial features big data unit 5082, the facial feature state determination unit 5021c, the AI visual nerve unit 5022, and the visual disease prediction unit 5023 are connected in sequence , the facial features capture unit 5021a receives the video data input and the photo data input, the body temperature big data unit 5083, the body temperature condition determination unit 5031a, the AI tactile nerve unit 5032 and the tactile disease prediction unit 5033 are sequentially connected, The pulse big data unit 5084, the pulse condition determination unit 5031b and the AI tactile nerve unit 5032 are connected in sequence, the gas component analysis unit 5041a, the gas feature extraction unit 5041b, the gas state determination unit 5041c, The gas big data unit 5085, the gas state determination unit 5041c, the AI olfactory nerve unit 5042 and the olfactory disease prediction unit 5043 are connected in sequence;
  • the auditory disease prediction unit 5013, the visual disease prediction unit 5023, the tactile disease prediction unit 5033, and the olfactory disease prediction unit 5043 are all connected to the AI diagnosis and treatment weight algorithm unit 5051.
  • the type determination result unit 5052 is used to receive the diagnosis and treatment weighting algorithm result of the AI diagnosis and treatment weighting algorithm unit 5051 and perform disease type determination to obtain a disease type conclusion, and is also used to send the disease type conclusion to the deep intelligent learning brain unit 507 , the deep intelligent learning brain unit 507 is connected with the target volume big data unit.
  • the mouth behavior extraction unit 5011b receives the captured mouth movements and extracts them, and sends them to the mouth big data unit 5081. The state is judged and sent to the AI auditory nerve unit 5012 for comprehensive neural judgment
  • the disease prediction percentage unit 5053 is configured to receive the diagnosis and treatment weighting algorithm result of the AI diagnosis and treatment weighting algorithm unit 5051, and perform prediction and percentage conversion to obtain and output the diagnosis and treatment result.
  • the AI diagnosis and treatment algorithm unit further includes a disease type big data unit 506 , and the disease type big data unit 506 is configured to send the disease type big data to the AI diagnosis and treatment comprehensive evaluation unit 505 .
  • the AI environment monitoring mixed algorithm module 2 further includes an AI environment monitoring alarm display unit 203, and the AI environment monitoring mixed algorithm module 2 sends the calculated result to the AI environment monitoring alarm display unit 203 for alarm display, and the environment monitoring display The unit is set to display the alarm level according to the result.
  • the AI environment monitoring alarm display unit 203 further includes a first-level alarm unit 2031 , a second-level alarm unit 2032 and a third-level alarm unit 2033 .
  • the AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants further includes a power adapter unit 6 and an IoT card module unit 7 .
  • the power adapter unit 6 and the IoT card The module units 7 are all connected with the main control chip data output module 1, the power adapter unit 6 is used to convert the external voltage into a voltage that supports the operation of the animal and plant health monitoring system, and the IoT card module Unit 7 establishes a channel for transmitting AI environmental quantification value unit 201 for the animal and plant health monitoring system and network such as 4G network and 5G network to provide communication transmission services.
  • An AI environment monitoring and AI diagnosis and treatment algorithm device for animals and plants comprising the AI environment monitoring and AI diagnosis and treatment algorithm system for animals and plants according to any one of the preceding claims.
  • the device includes an equipment casing and a rotating bracket, the equipment casing includes an upper casing and a lower casing, and provides shape protection for all accessories.
  • the rotating bracket is used to adjust the angle and direction. All accessories are fixed inside the device housing.
  • the swivel stand provides the device with different angles and orientations of adjustment.
  • the invention is based on a modern computer carrier, utilizes a convenient big data unit, adopts AI environment monitoring hybrid algorithm and AI diagnosis and treatment algorithm to carry out artificial intelligence planting and breeding, that is, artificial intelligence technology is used in all aspects of vision, touch, hearing and smell. Monitoring is equivalent to the functions of seeing, smelling, asking, and diagnosing doctors from ancient times to the present. Combined with modern technology and the Internet, it can monitor and track the global health of animals and plants and even human food, and monitor and predict the health of animals and plants. Timely treatment, while providing protection for human food security.

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Abstract

Système et appareil à algorithme de surveillance d'environnement par IA et de diagnostic et de traitement par IA pour animaux et plantes. Ledit système comprend un module principal de sortie de données de puce de commande et une unité de détection d'environnement, une unité de détection de cible, un module d'algorithme hybride de surveillance d'environnement par IA et un module d'algorithme de diagnostic et de traitement par IA qui sont connectés au module principal de sortie de données de puce de commande, le module d'algorithme hybride de surveillance d'environnement par IA comprenant une unité de valeur de quantification d'environnement par IA et une unité d'algorithme de pondération hybride de surveillance d'environnement par IA, et le module d'algorithme hybride de surveillance d'environnement par IA comprenant une unité d'évaluation exhaustive d'environnement par IA. La présente invention utilise l'algorithme hybride de surveillance d'environnement par IA et l'algorithme de diagnostic et de traitement par IA pour effectuer, en combinaison avec la science et la technologie modernes et les réseaux, une surveillance et un suivi de la santé globale d'un environnement vivant, ainsi que de données biologiques d'animaux et de plantes, pour surveiller et prédire la santé des animaux et des plantes, de façon à effectuer un traitement en temps utile, tout en garantissant la sécurité alimentaire pour les êtres humains.
PCT/CN2020/137503 2020-12-18 2020-12-18 Système et appareil à algorithme de surveillance d'environnement par ia et de diagnostic et de traitement par ia pour animaux et plantes WO2022126574A1 (fr)

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Publication number Priority date Publication date Assignee Title
CN116034904A (zh) * 2023-03-31 2023-05-02 华南农业大学 基于轨道式巡检机器人的猪只健康监测系统及方法
CN116034904B (zh) * 2023-03-31 2023-06-13 华南农业大学 基于轨道式巡检机器人的猪只健康监测系统及方法

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