BIOPRODUCTION ENGINEERING: A ROAD MAP FOR SUSTAINABLE AGRICULTURAL PRACTICES

BIOPRODUCTION ENGINEERING: A ROAD MAP FOR SUSTAINABLE AGRICULTURAL PRACTICES

Library of Congress Cataloging-in-Publication Data

CONTENTS

FOREWORD

PREFACE

ABOUT THE AUTHORS

ACKNOWLEDGMENTS

Chapter 1: INTRODUCTION

BIOPRODUCTION ENGINEERING -AN EVOLUTION OF ECOFRIENDLY SUSTAINABLE AGRICULTURE

1.1. SOIL STRUCTURE AND FERTILITY

1.2. SUSTAINABLE WATER MANAGEMENT

1.3. EFFICIENT USE OF AGRICULTURAL INPUTS

1.4. INFORMATION AND COMMUNICATION TECHNOLOGY

1.5. PROSUMERS IN AGRICULTURE

1.6. DECISION SUPPORT SYSTEMS

1.7. RENEWABLE ENERGY RESOURCES DERIVED FROM AGRICULTURE

Chapter 2: SENSORS FOR INTELLIGENT SYSTEMS IN AGRICULTURE

ENVIRONMENTAL RECOGNITION THROUGH SENSING AND PERCEPTION

2.1. SENSORS FOR POSITIONING

2.2. VISION-BASED SENSORS

2.3. ENVIRONMENT RANGING SENSORS

2.4. TIME-OF-FLIGHT RANGE SENSORS

2.5. IMAGE SENSORS

2.6. DIGITAL IMAGE PROCESSING

Chapter 3: CONTROL AND NAVIGATION FOR INTELLIGENT SYSTEMS IN AGRICULTURE

PRODUCTIVITY AND INTELLIGENT CONTROL SYSTEMS THROUGH SENSING

3.1. NAVIGATION REFERENCES

3.2. DEAD RECKONING SENSORS

3.3 INERTIAL NAVIGATION

3.5. LINE NAVIGATION

3.6.MAP-BASED NAVIGATION

3.7. AGRICULTURAL VEHICLE MOTION PLANNING

3.4. LANDMARK-BASED NAVIGATION

3.8. TRAJECTORY CONTROL

3.9. CARTESIAN AND POLAR COORDINATE SYSTEMS

3.10. AGRICULTURAL ROBOT NAVIGATION

3.11. EXAMPLES OF NONHOLONOMIC SYSTEMS

3.12. CONTEMPORARY NAVIGATION IN NON-HOLONOMIC MOTION PLANNING - AN OVERVIEW

3.13. TRANSFORMATION OF COORDINATES FOR NAVIGATION OF VEHICLE

3.14. SENSOR DATA FUSION

Chapter 4: SENSORS FOR MONITORING AGRICULTURAL PRODUCTIVITY

THE USE OF SENSORS IN THE PRACTICE OF AGRICULTURAL OPERATIONS TO DETERMINE THE OPTIMUM AMOUNT OF INPUTS AND LOCATION FOR PRECISION AGRICULTURE

4.1. GPS AND GIS

4.2. SOIL SAMPLING

4.3. VARIABLE RATE TECHNOLOGIES (VRT)

4.4. YIELD MONITORING AND MAPPING

4.5. CALIBRATION

4.6. YIELD MAP GENERATION

Chapter 5: SPECTRAL IMAGERY AND REMOTE SENSING IN AGRICULTURE

UNDERSTANDING PLANT BIOPHYSICAL PROPERTIES AS A `DATA TO KNOWLEDGE` APPROACH FOR ESTABLISHING DECISION SUPPORT SYSTEMS IN AGRICULTURE

5.1. REMOTE SENSING

5.2. SPATIAL RESOLUTION, PIXEL SIZE, AND SCALE

5.3. SPECTRAL RESOLUTION

5.4. RADIOMETRIC RESOLUTION

5.5. TEMPORAL RESOLUTION

5.6. CAMERAS AND AERIAL PHOTOGRAPHY

5.7. THERMAL IMAGING

5.8.MICROWAVE REMOTE SENSING

5.9. IMAGE INTERPRETATION AND ANALYSIS

5.10. DIGITAL IMAGE PROCESSING

5.11. IMAGE CLASSIFICATION AND ANALYSIS

5.12. GEOMETRIC DISTORTION IN IMAGERY

5.13. IMAGE GEO-REFERENCING

5.14. CALIBRATION OF INTRINSIC CAMERA AND EXTRINSIC PARAMETERS

5.15. DATA INTEGRATION AND ANALYSIS

5.16. BIOPHYSICAL PROPERTIES OF PLANTS AND REMOTE SENSING

5.17. REMOTE SENSING PLATFORMS

5.18. SOFTWARE AVAILABILITY FOR REMOTE SENSING

5.19. DECISION SUPPORT SYSTEMS (DSS)

Chapter 6: GIS AND DECISION SUPPORT SYSTEMS IN AGRICULTURE

MODELING FOR SOLVING CRITICAL PROBLEMS IN AGRICULTURAL PRODUCTIONS

6.1. DSS DESIGN AND MODELING TOOLS

6.2. FUNDAMENTAL OF GIS IN DSS DESIGN

6.3. FUNDAMENTAL GIS TOOLS FOR DSS

6.4. CROP GROWTH AND DSS

6.5.MATHEMATICAL MODELS OF GROWTH

6.6. QUANTITATIVE MEASUREMENTS OF GROWTH

6.7. LAND USE MODEL

6.8. ECONOMIC MODEL

6.9. DSSS FOR MAJOR FIELD CROPS

6.10. DSS-GIS, REMOTE SENSING AND GPS

Chapter 7: SYSTEM DESIGN FOR RENEWABLE ENERGY RESOURCES IN AGRICULTURE

SYSTEM INFORMATICS AND DECISION SUPPORT SYSTEMS FOR ACHIEVING SUSTAINABILITY

7.1. SYSTEM INFORMATICS APPROACH

7.2. INVENTORY ANALYSIS OF LCA

7.3. LINEAR PROGRAMMING FOR OPTIMIZATION

7.4. SYSTEM DYNAMICS FOR RENEWABLE ENERGY

7.5. SYSTEM DESIGN FOR EXERGY

7.6. PRACTICE PROBLEMS

Chapter 8: SYSTEM HIERARCHY FOR DETERMINING THE POTENTIAL OF RENEWABLE ENERGY IN AGRICULTURE

AHP/ANP DECISION SUPPORT SYSTEMS FOR RENEWABLE ENERGY AND SUSTAINABILITY

8.1. DECISION SUPPORT SYSTEM

8.2. RENEWABLE ENERGY IN RURAL AREAS

8.3. AHP/ANP FOR INTRODUCING RENEWABLE ENERGY

8.4. PRACTICE PROBLEMS

REFERENCES

INDEX