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  • HWR Berlin  (3)
  • HFS Ernst Busch
  • SB Bernau bei Berlin
  • KEB Elbe-Elster
  • Gehlot, Anita
Type of Medium
Language
Region
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Years
Person/Organisation
  • 1
    Online Resource
    Online Resource
    Artificial Intelligence in Agriculture (2021)
    Milton : Taylor & Francis Group
    Details
    UID:
    b3kat_BV048226315
    Format: 1 Online-Ressource (187 Seiten)
    ISBN: 9781000506211
    Note: Description based on publisher supplied metadata and other sources , Cover -- Half Title -- About the Authors -- Title Page -- Copyright Page -- Preface -- Table of Contents -- Part A: Fundamental of Artificial Intelligence -- Chapter 1 Artificial Intelligence -- Chapter 2 Learning Python for Artificial Intelligence -- Chapter 3 Machine Learning -- Chapter 4 Deep Learning -- Chapter 5 Computer Vision -- Chapter 6 Knowledge Based Expert System -- Part B: Implementation of Artificial Intelligence -- Chapter 7 Tools for Artificial Intelligence -- Chapter 8 Important Libraries for AI -- Chapter 9 Machine Learning Algorithms -- Chapter 10 Disease Classification and Detection in Plants -- Chapter 11 Species Recognition in Flowers -- Chapter 12 Precision Farming
    Additional Edition: Erscheint auch als Druck-Ausgabe Singh, Rajesh Artificial Intelligence in Agriculture Milton : Taylor & Francis Group,c2021 ISBN 9781032158105
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    HWR Berlin
  • 2
    Online Resource
    Online Resource
    Internet of Things (IoT) Enabled Automation in Agriculture (2022)
    Milton : Taylor & Francis Group
    Details
    UID:
    b3kat_BV048831322
    Format: 1 Online-Ressource (126 Seiten)
    ISBN: 9781000833355
    Content: This book provides basic knowledge of the programming and interfacing of devices with IoT modem and programming. The aim is to explain the basic steps to understand the IoT and its application in agriculture field
    Note: Description based on publisher supplied metadata and other sources , Cover -- Half Title -- About the Authors -- Title Page -- Copyright Page -- Preface -- Table of Contents -- 1. Introduction to Internet of Things -- 2. Role of Arduino in Agricultural Field and its Interfacing with External Devices -- 2.1. Introduction -- 2.2. Circuit Diagram -- 2.3. Program -- 3. Role of Node MCU in Agricultural Field and its Interfacing with External Devices -- 3.1. Introduction -- 3.2. Temperature Sensor Interfacing with NodeMCU -- 3.2.1. Circuit Diagram -- 3.2.2. Program -- 4. Development of BLYNK App to Automate Agriculture Field -- 4.1. Introduction -- 4.2. Circuit Diagram -- 4.3. Program -- 4.4. Blynk APP -- 5. Development of Local web Server for Automation -- 5.1. Introduction -- 5.2. Circuit Diagram -- 5.3. Program -- 5.4. Local Web server -- 6. LabVIEW Based Data Logger for Agricultural Field Parameters Monitoring System -- 6.1. Introduction -- 6.2. Circuit Diagram -- 6.2.1. Field device connections -- 6.2.2. LabVIEW based Data logger connection -- 6.3. Program -- 6.3.1 Field device code -- 6.3.2 Data logger Code -- 6.4. LabVIEW GUI -- 6.4.1 Steps to design LabVIEW GUI -- 6.4.2 Design steps for front Panel -- 6.4.3 Building the Block Diagram -- 6.4.4 Virtual Instrument Software Architecture (VISA) -- 6.5. LabVIEW GUI for the system -- 7. MATLAB Based Data Logger for Agricultural Field Parameters Monitoring System -- 7.1. Introduction -- 7.2. Circuit Diagram -- 7.3. Procedure to run I/O package -- 7.4. MATLAB GUI -- 7.4.1. Steps to create GUI in MATLAB -- 7.5. MATLAB Code -- 7.6. MATLAB GUI for the system -- 8. A smart Control for Site-specific Management of Fixed Irrigation System -- 8.1. Introduction -- 8.2. Circuit Diagram -- 8.3. Program -- 8.3.1. Arduino code -- 8.3.2. NodeMCU code -- 8.4. BLYNK app -- 9. iCould and Cayenne Based Perimeter Monitoring System for Agricultural Field -- 9.1. Introduction , 9.2. Circuit Diagram -- 9.3. Program -- 9.3.1. Program for Arduino -- 9.3.2. Program for NodeMCU -- 9.4. Cayenne App -- 9.4.1. Steps to add NodeMCU in cayenne cloud -- 10. Scilab Based Data Logger for Plant Protection from Fire in Agricultural Field -- 10.1. Introduction -- 10.2. Circuit Diagram -- 10.3. Procedure to run Arduino I/O package with Scilab -- 10.4. Scilab XCOS model -- 11. Smart Greenhouse Monitoring System for Flower Plant Growth -- 11.1. Introduction -- 11.2. Circuit Diagram -- 11.2.1 Sensor Node -- 11.2.2 Local Server -- 11.3. Program -- 11.3.1 Sensor Node -- 11.3.2 Local Server -- 11.4. Main Server
    Additional Edition: Erscheint auch als Druck-Ausgabe Singh, Rajesh Internet of Things (IoT) Enabled Automation in Agriculture Milton : Taylor & Francis Group,c2022 ISBN 9781032428741
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    HWR Berlin
  • 3
    Online Resource
    Online Resource
    Business Data Analytics : First International Conference, ICBDA 2022, Dehradun, India, October 7-8, 2022, Proceedings (2022)
    Cham : Springer
    Details
    UID:
    b3kat_BV049872852
    Format: 1 Online-Ressource (89 Seiten)
    Edition: 1st ed
    ISBN: 9783031236471
    Series Statement: Communications in Computer and Information Science Series v.1742
    Note: Description based on publisher supplied metadata and other sources , Intro -- Preface -- Organization -- Contents -- Brain Stroke Prediction Using the Artificial Intelligence -- 1 Introduction -- 2 Literature Review -- 3 Data Set and Methodology Used -- 4 Data Analysis -- 5 Results and Discussion -- 5.1 Model of Ensemble Voting -- 6 Conclusion -- References -- Game Rules Prediction - Winning Strategies Using Decision Tree Algorithms -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Analysis and Results -- 4.1 Exploratory Data Analysis -- 5 Managerial Applications -- 6 Methodological Limitations -- 7 Conclusion -- References -- Quantitative Analysis of the Impact of Demography and Job Profile on the Organizational Commitment of the Faculty Members in the HEI'S of Uttarakhand -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 4 Data Analysis and Interpretation -- References -- Prostate Cancer Data Analytics Using Hybrid ECNN and ERNN Techniques -- 1 Introduction -- 2 Literature Survey -- 3 Research Methodology -- 3.1 Existing System -- 3.2 Proposed System -- 4 Experimental Results -- 4.1 ECNN Algorithm -- 4.2 ERNN Algorithm -- 4.3 Input Datset -- 5 Results -- 5.1 Performance Evaluation Methods -- 5.2 Evaluation Metrics -- 5.3 Data Input -- 6 Comparison Table -- 7 Conclusions -- References -- A Review on Smart Patient Monitoring and Management in Orthopaedics Using Machine Learning -- 1 Introduction -- 2 Problems Related to Bones -- 2.1 Bone Fracture -- 2.2 Bone Diseases -- 2.3 Bone Surgery -- 3 Role of ML in Orthopaedics -- 3.1 ML in Fracture Detection -- 3.2 ML in Fracture Prediction -- 3.3 ML in the Sphere of Bone Diseases -- 3.4 ML in Aid of Bone Surgery -- 4 Conclusions -- References -- A Machine Learning Framework for Detection of Fake News -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Feature Extraction Using TF-IDF. , 3.3 Machine Learning Models -- 4 Result and Analysis -- 5 Conclusion -- References -- Author Index
    Additional Edition: Erscheint auch als Druck-Ausgabe Singh, Rajesh Business Data Analytics Cham : Springer,c2022 ISBN 9783031236464
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    HWR Berlin
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