• Fri frakt över 249 kr
  • •
  • Snabba leveranser
  • •
  • Billiga böcker
Kundservice

Du är på sajten för privatpersoner.

Företag, bibliotek eller offentlig verksamhet?

Du handlar på classic.bokus.com, där alla dina funktioner finns intakta.
Till classic.bokus.com
Bokus logotyp. Gå till startsidan.
  • Erbjudanden
  • Nyheter
  • Student
  • Topplistor
  • Barn & ungdom
  • Bokus Play
  • E-böcker
  • Pocketböcker
  • Spel & pussel

10% rabatt på allt med kod NYSTART10 →

Sidfot

Mina sidor

    Hjälp

    • Kundservice
    • Vanliga frågor och svar
    • Frakt och leverans
    • Retur vid ångerrätt
    • Reklamera vara
    • Betalning
    • Köpvillkor
    • Allmänna villkor
    • Information om webbplatsens tillgänglighet

    Om Bokus

    • Om oss
    • Pressrum
    • För studenter
    • För företag
    • För bibliotek och offentlig verksamhet
    • För leverantörer
    • Hållbarhet

    Populärt

    • Aktuella erbjudanden
    • Presentkort
    • Studentlitteratur
    • Nya böcker
    • Topplistor
    • Signerade böcker
    • Engelska böcker

    Inspiration

    • Boktips
    • BookTok
    • Populära bokserier
    • Barnbokskaraktärer
    • Populära författare
    Logotyp för Bokus
    Följ oss på Facebook (extern länk)Följ oss på Instagram (extern länk)Följ oss på YouTube (extern länk)Följ oss på TikTok (extern länk)
    bokus @ CookiesAnpassa cookiesIntegritetspolicyKöpvillkor
    Till Citymail hemsida (extern länk)Till Budbee hemsida (extern länk)Till Postnord hemsida (extern länk)Till Schenker hemsida (extern länk)Till Early Bird hemsida (extern länk)Till Walleys hemsida (extern länk)
    1. Naturvetenskap och teknik
    2. Geovetenskap
    3. Geovetenskap

    Agriculture 5.0

    Artificial Intelligence, IoT and Machine Learning

    AvLatief Ahmad,Firasath Nabi

    Inbunden, Engelska, 2021

    2 956 kr

    Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Agriculture 5.0: Artificial Intelligence, IoT & Machine Learning provides an interdisciplinary, integrative overview of latest development in the domain of smart farming. It shows how the traditional farming practices are being enhanced and modified by automation and introduction of modern scalable technological solutions that cut down on risks, enhance sustainability, and deliver predictive decisions to the grower, in order to make agriculture more productive. An elaborative approach has been used to highlight the applicability and adoption of key technologies and techniques such WSN, IoT, AI and ML in agronomic activities ranging from collection of information, analysing and drawing meaningful insights from the information which is more accurate, timely and reliable.It synthesizes interdisciplinary theory, concepts, definitions, models and findings involved in complex global sustainability problem-solving, making it an essential guide and reference. It includes real-world examples and applications making the book accessible to a broader interdisciplinary readership.This book clarifies hoe the birth of smart and intelligent agriculture is being nurtured and driven by the deployment of tiny sensors or AI/ML enabled UAV’s or low powered Internet of Things setups for the sensing, monitoring, collection, processing and storing of the information over the cloud platforms. This book is ideal for researchers, academics, post-graduate students and practitioners of agricultural universities, who want to embrace new agricultural technologies for Determination of site-specific crop requirements, future farming strategies related to controlling of chemical sprays, yield, price assessments with the help of AI/ML driven intelligent decision support systems and use of agri-robots for sowing and harvesting. The book will be covering and exploring the applications and some case studies of each technology, that have heavily made impact as grand successes. The main aim of the book is to give the readers immense insights into the impact and scope of WSN, IoT, AI and ML in the growth of intelligent digital farming and Agriculture revolution 5.0.The book also focuses on feasibility of precision farming and the problems faced during adoption of precision farming techniques, its potential in India and various policy measures taken all over the world. The reader can find a description of different decision support tools like crop simulation models, their types, and application in PA. Features: Detailed description of the latest tools and technologies available for the Agriculture 5.0. Elaborative information for different type of hardware, platforms and machine learning techniques for use in smart farming. Elucidates various types of predictive modeling techniques available for intelligent and accurate agricultural decision making from real time collected information for site specific precision farming. Information about different type of regulations and policies made by all over the world for the motivation farmers and innovators to invest and adopt the AI and ML enabled tools and farming systems for sustainable production.

    Produktinformation

    • Utgivningsdatum:2021-03-25
    • Mått:152 x 229 x 22 mm
    • Vikt:610 g
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:224
    • Förlag:Taylor & Francis Ltd
    • ISBN:9780367646080

    Utforska kategorier

    • Geovetenskap inom Naturvetenskap och teknik
    • Agronomi och lantbruk inom Naturvetenskap och teknik
    • Agronomi inom Naturvetenskap och teknik

    Mer om författaren

    Dr. Latief Ahmad is working as Scientist at Dryland Agricultural Research Station, Rangreth- Sher-e-Kashmir University of Agricultural Sciences and Technology, Shalimar Kashmir J&K India. He obtained his bachelor’s degree in Agriculture from Faculty of Agricultural Sciences, CCS-SDS College, Aligarh and Master’s and Doctoral Degree in Agronomy from School of Agriculture, Allahabad Agricultural Institute, Naini Allahabad U.P India. The author has published more than 85 research articles in peer-reviewed international and national journals He has authored 2 books, 8 book chapters and 19 extension bulletins. He has attended more than 35 national and international conferences/Training programmes and is a life member of five scientific associations. He has received best research proposal award by SERB-DST. His areas of interest include Agrometeorology, Climate Change studies, Crop simulation modeling, Precision Farming, Water management and Crop Science.Dr Firasath Nabi is a young researcher who has completed her PhD in Computer Sciences from Baba Ghulam Shah Badshah University, Rajouri J&K India. She has published several research papers in peer-reviewed international journals and conference proceedings. She holds expertise in developing and framing innovative solutions for the farmers with the help of computer-aided tools and techniques especially the use of sensor networks and machine learning for disease detection and monitoring of Fruit Crops. She is an evaluation member for the Innovation Cell of MHRD, India and recipient of national awards from many organizations. Her research interests are Wireless Sensor Network, Machine Learning, Artificial Intelligence and their applicability in Precision Farming.

    Innehållsförteckning

    • Chapter 1 Introduction to Precision Agriculture Chapter 2 Smart Intelligent Precision Agriculture Chapter 3 Adoption of Wireless Sensor Network (WSN) in Smart Precision Agriculture Chapter 4 IoT (Internet of Things) Based Agricultural Systems Chapter 5 AI (Artificial Intelligence) Driven Smart Agriculture Chapter 6 Machine Learning (ML) Driven Agriculture Chapter 7 Data-Driven Smart Farming Chapter 8 Decision-Making and Decision-Support Systems Chapter 9 Agriculture 5.0 – The Future Chapter 10 Social and Economic Impacts Chapter 11 Environmental Impact and Regulations