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ویرایش:
نویسندگان: Toby Mottram
سری:
ISBN (شابک) : 0128176342, 9780128176344
ناشر: Academic Press
سال نشر: 2022
تعداد صفحات: 287
[290]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 5 Mb
در صورت تبدیل فایل کتاب Digital Agritechnology: Robotics and Systems for Agriculture and Livestock Production به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب کشاورزی دیجیتال: رباتیک و سیستمهای کشاورزی و تولید دام نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Front Cover Digital Agritechnology Digital Agritechnology: Robotics and Systems for Agriculture and Livestock Production Copyright Dedication Contents List of contributors About the editor Foreword Preface 1 - An introduction to digital agritechnology Background First agricultural revolution (1700 onwards) Second agricultural revolution (1914–1980s) Third agricultural revolution (1920s–present) Fourth agricultural revolution (1970s onwards) Basic technologies for digital agritechnology Microchips Electronic identification (EID or RFID) Silicon sensors Global positioning systems Meteorological information Digital imaging Communications systems Internet protocols Databases How this book is organised References 2 - From data to information Introduction The future Why data? Data in context DIKW model Applications Data representation Data encoding Number bases Character encoding Data types Primitive or simple data types Integer types Real numbers Floating point numbers Floating point numbers Issues surrounding numbers Issues surrounding numbers Overflows and underflows Overflows and underflows Divide by zero Divide by zero Not a number Not a number Real number comparison Real number comparison Unum Unum Character types Boolean Complex or composite data types String Array Array Lists Lists Record Record Object Object Other data types Other collections Other collections Pointer Pointer Sub-ranges Sub-ranges Enumerations Enumerations Sets Sets Null Null Dates and times Dates and times Data validation and verification Data operations Data processing Data storage Devices The internet of things The cloud and data centres Files-based systems Databases Enterprise service bus Data compression Data transmission The internet The world wide web Services Application programming interface Data formats and messaging Rendering Transformations Web scraping Data visualisation Data classification Data management Security Attackers Threat modelling CIA triad Regulation Politics Data trends Challenges References 3 - ISOBUS – standards and uses for data from farm machinery Introduction Short history of ISOBUS ISO 11783 based on CAN bus Components and network ISOBUS system overview Connectors Implement bus breakaway connector (Fig. 3.3) Diagnostic connector (Fig. 3.4) In-cab connector (Fig. 3.5) ISOBUS functionalities Universal Terminal (UT) Auxiliary Controls (AUX-O and AUX-N) Task Controller (TC) Tractor ECU (TECU) Tractor Implement Management (TIM) ISOBUS Shortcut button (ISB) File Server (FS) Compatibility between ISOBUS systems Conformance Testing and Certification to guarantee compatibility AEF recognised test laboratories AEF ISOBUS Database AEF Plugfest Future developments on ISOBUS High-Speed ISOBUS (HSI) including future network architecture Wireless In-field communication (WIC) Connectivity between platforms 4 - Field robotics for harvesting: A review of field robotics approaches for harvesting Introduction Field robotics for harvesting Achieving impact: faster, cheaper and safer harvesting Faster harvesting Cheaper harvesting Safer harvesting Increased sustainability The reality of harvesting Challenges Current state of the art Mechanisms and manipulation Blades Waterknife Suction In-hand manipulation Vision and learning Harvest localisation and classification Crop monitoring Post-harvest and quality control Field tests and measuring success Translation from research to commercialisation Case studies Vegebot: iceberg lettuce harvesting System architecture Vision and learning End effector design Field tests Experimental results The future Future technologies Data-driven approaches and machine learning Soft robotics and tactile sensing Genetic engineering and bio-hybrid systems New approaches to harvesting Single plant tending and harvesting 24h harvesting Human-in-the loop Transparency Structuring the environment References 5 - Capturing agricultural data using AgriRover for smart farming Introduction SmartFarm: a holistic philosophy for UK–China Agritech collaboration philosophy Benefits of adopting the SmartFarm philosophy Design methodology for a mobile data collection platform AgriRover design Mechatronic approach with a focus on energy consumption of the systems Overview of navigation algorithms and autonomous field vehicle platforms Overview of navigation systems A review of navigation algorithm Energy-focused mechatronic modelling UK–China SmartFarm data flow diagram Path planning Power data capture in field studies Conclusions and future work References 6 - Health and welfare monitoring of dairy cows Introduction Why automated health management? Issues in automated animal monitoring Classification of disease Sub-clinical diagnoses Cow identity: the essential first component Types of sensor systems Wearables Image capture Thermal imaging Biosensors Monitoring cow health Parturition (calving) monitoring Technologies for monitoring calving Mastitis Conductivity Somatic cell counting Acute phase proteins Metabolic disorders Rumen telemetry In-line milk sensing of nutritional parameters Weight, body condition and body morphology Mobility and lameness Walkover weigh cells Individual foot load analysis Kinetics – tri-axial accelerometers Kinematics – imaging systems Time of passage measurement Integrated monitoring Animal welfare Conclusions References Further reading 7 - Fertility monitoring of cattle Introduction Importance of fertility monitoring Culling Longevity Climate change and dairy cow fertility Biology of dairy reproduction The oestrous cycle Post-insemination: pregnancy detection methods Systems of dairy cow fertility management Natural service Conventional AI Synchronisation with hormones Contracted systems (arm systems) Digital systems for fertility management Mount detectors Early Oestrus Technology Pedometers Olfactory sensing Milk temperature Milk yield Skin temperature Combined measurements Measuring hormones in milk Progesterone assay Biochemistry of hormone analysis Well cow Herd navigator Milkalyser RePro Combining activity and progesterone analysis Discussion: towards a system to improve fertility management Appendix 1 dictionary of terms in fertility of dairy cows Appendix 2 Definitions of Accuracy References Further reading 8 - Resilient food infrastructure and location-based categorisation of urban farms Introduction Urban agriculture and categorisation of structures Growing over the ground Green roofs or rooftop gardens Community gardens Brownfields, derelict lands and vacant buildings Vertical growing and green walls Indoor vertical growing Indoor vertical growing Integrated Rooftop greenhouse (iRTG) Integrated Rooftop greenhouse (iRTG) Outdoor vertical growing I Outdoor vertical growing I Growing Underground Walipini and Sunken green houses Underground spaces under cities and urban environments Bomb shelters under ground Bomb shelters under ground Metro farms in subway tunnels Metro farms in subway tunnels Underground basements of commercial buildings Underground basements of commercial buildings Underground car parks Underground car parks Underground spaces far from cities under deserts and mountains Bunkers under deserts Bunkers under deserts Coal mines and tunnels through mountains Coal mines and tunnels through mountains Discussion and conclusion References 9 - Critical review of smart agri-technology solutions for urban food growing Introduction COVID-19 and food security issues in cities Macro scale: smart food growing technologies Big data, artificial intelligence, augmented reality, smart sensors and citizen science Sensors, IoT, irrigation and remote water control Planting and survey technologies: drones and remote sensing Drones definition, technologies and applications Drone-imaging, GPS and crop mapping software Nature conservation, environmental reporting and monitoring Environmental impacts Micro scale: food growing technologies for homes Growing devices Composting devices Smart food storage devices Discussion and conclusion References 10 - Agriculture 4.0: data platforms in food supply Introduction The evolution of agriculture 4.0 Data—who owns and sells it Creating data transparency—blockchain methods Examples of blockchain in farming Agriculture 4.0 market models Model 1: closed business system Model 2: participatory markets The impact of government policies on supply chains European union veterinary data market Exemplar: the livestock production chain Virtual vet system for recording treatments Agriculture 4.0 technologies in the value chain Agri tech vendors, nodes in the embryonic participatory model How to improve supply chain provenance An embryonic blockchain platform—veterinary medicine surveillance Discussion and conclusions References Further reading 11 - Risk assessment of introducing Digital-Agritech Introduction Aims of digital agri-technology Failures in risk management in genetic agri-technology Design risks Risks in machine learning or artificial intelligence Software incompatibility Limited interface specifications for new developers Digital control in animal management Environmental control Animal welfare monitoring Generics Data security risks Product liability Legislative risk Position navigation timing failure Labour availability risk Skilled labour shortage Rural internet bandwidth and speed Alienation and the death of farming culture Discussion and conclusions References Index A B C D E F G H I K L M N O P Q R S T U V W Z Back Cover