Bresolin et al. - Google Patents
- ️Fri Jan 01 2021
Bresolin et al.
-
Document ID
- 15896410395292389641 Author
- Ferreira R
- Rosa G
- Dórea J
External Links
- 244000144972 livestock 0 title abstract description 12
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/16—Combinations of two or more digital computers each having at least an arithmetic unit, a programme unit and a register, e.g. for a simultaneous processing of several programmes
- G06F15/163—Interprocessor communication
- G06F15/173—Interprocessor communication using an interconnection network, e.g. matrix, shuffle, pyramid, star, snowflake
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/76—Architectures of general purpose stored programme computers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kalyani et al. | 2021 | A systematic survey on the role of cloud, fog, and edge computing combination in smart agriculture |
Meng et al. | 2020 | Real-time detection of ground objects based on unmanned aerial vehicle remote sensing with deep learning: Application in excavator detection for pipeline safety |
Gzar et al. | 2022 | Recent trends of smart agricultural systems based on Internet of Things technology: A survey |
Zhou et al. | 2017 | CropQuant: an automated and scalable field phenotyping platform for crop monitoring and trait measurements to facilitate breeding and digital agriculture |
Zheng et al. | 2021 | Design and implementation of poultry farming information management system based on cloud database |
Mateo-Aroca et al. | 2019 | Remote image capture system to improve aerial supervision for precision irrigation in agriculture |
Mancuso et al. | 2023 | Cow behavioural activities in extensive farms: Challenges of adopting automatic monitoring systems |
Donzia et al. | 2019 | A software model for precision agriculture framework based on smart farming system and application of IoT gateway |
Shekhar et al. | 2017 | Agriculture big data (AgBD) challenges and opportunities from farm to table: a midwest big data hub community whitepaper |
Tang et al. | 2021 | A smart sensing system of water quality and intake monitoring for livestock and wild animals |
CN104007733B (en) | 2017-08-04 | It is a kind of that the system and method being monitored is produced to intensive agriculture |
Abdullahi et al. | 2019 | Exploiting IoT and LoRaWAN technologies for effective livestock monitoring in Nigeria |
Davis et al. | 2023 | Developing and field testing path planning for robotic aquaculture water quality monitoring |
Hu et al. | 2023 | Grazing sheep behaviour recognition based on improved yolov5 |
US11985953B2 (en) | 2024-05-21 | Poultry health benchmarking system and method |
Asmare | 2022 | A review of sensor technologies applicable for domestic livestock production and health management |
Luo et al. | 2024 | Automatic recognition and quantification feeding behaviors of nursery pigs using improved YOLOV5 and feeding functional area proposals |
Khan et al. | 2020 | Internet of things based remote sensing for ornithological monitoring |
Shareef et al. | 2020 | Design and development of IoT-based framework for indian aquaculture |
Bresolin et al. | 0 | Computer vision on the edge: A computing framework for high-throughput phenotyping in livestock operations |
Fathoni et al. | 2024 | Empowered edge intelligent aquaculture with lightweight Kubernetes and GPU-embedded |
Vakula Rani et al. | 2023 | A Smart Irrigation System for Plant Health Monitoring Using Unmanned Aerial Vehicles and IoT |
Srinivas et al. | 2022 | Farm management and resource optimization using IoT |
Lima et al. | 2018 | A system for controlling and monitoring IoT applications |
Petrić et al. | 2019 | Autonomous wireless sensor networks in an ipm spatial decision support system |