BOOK
Precision agriculture for sustainability
Dr John Stafford | Prof Richard B. Ferguson | Dr R. Gebbers | Dr Chenghai Yang | Dr Chunhua Zhang | Dr John M. Kovacs | Dr Dan Walters | Dr Spyros Fountas | Dr Evangelos Anastasiou | Dr Zisis Tsiropoulos | Dr Aristotelis Tagarakis | Dr Athanasios Balafoutis | Dr Nicolas Tremblay | Dr Kenneth A. Sudduth | Dr Aaron J. Franzen | Dr Heping Zhu | Dr Scott T. Drummond | Dr Paul Miller | Dr Qin Zhang | Dr Joseph Dvorak | Dr Timo Oksanen | Dr Diogenes Antille | Dr Tim Chamen | Dr Jeff N. Tullberg | Dr Bindi Isbister | T. A. Jensen | Dr Craig P. Baillie | Dr John K. Schueller | Prof. Pedro Andrade-Sanchez | Dr Shrinivasa K. Upadhyaya | Prof. John Fulton | Dr Dan S. Long | Dr Amir Haghverdi | Dr Brian G. Leib | Dr E. C. Oerke | Prof. Roland Gerhards | Dr Mark Trotter | Prof Jess Lowenberg-DeBoer
(2018)
Additional Information
Book Details
Abstract
This volume reviews key advances in precision agriculture technology and applications. Chapters summarise developments in monitoring techniques, including proximal crop and soil sensors and remote sensing technologies. The book then goes on to discuss how this information is processed to identify management zones and input targets. Chapters also assesses advances in delivery mechanisms such as variable rate application and targeted spray technologies. The final part of the book surveys the wide range of applications of precision agriculture, from controlled traffic farming to site-specific nutrient and water management.
With its distinguished editor and international team of subject experts, this will be a standard reference for crop scientists and agronomists as well as all those concerned with improving the efficiency and sustainability of agriculture.
Precision agriculture is based on the ability to identify inter and intra-field variability and to use this information for more targeted crop management. By using resources more efficiently, precision agriculture can make agriculture more productive and sustainable. This volume reviews the key elements of and advances in precision agriculture technology and applications.
Part 1 looks at monitoring techniques, including proximal soil and crop sensors and remote sensing technologies. The book then goes on to discuss how this information is processed to identify management zones and input targets as well as the delivery mechanisms required such as variable rate application and targeted spray technologies. The final part of the book surveys the wide range of applications of precision agriculture, from controlled traffic farming to site-specific nutrient and water management.
With its distinguished editor and international team of subject experts, this will be a standard reference for crop scientists and agronomists as well as all those concerned with improving the efficiency and sustainability of agriculture.
Sample content
Not sure what you're getting if you buy this book? Click on the cover image below to open a PDF and preview pages from the book. Alternatively, watch our informative video introduction."Congratulations to the authors for putting together a comprehensive collection of key themes in precision agriculture. When appropriately augmented with local material, specific to the country/production system of relevance, this text is a very valuable, foundational learning tool. First principles can only go so far. In a rapidly evolving sector, a survey of the latest developments in these key areas is a must for students, teachers and researchers alike."
Dr. B.A. Stewart, Director Dryland Agriculture Institute and Distinguished Professor of Agriculture, West Texas A&M University, USA
Table of Contents
| Section Title | Page | Action | Price |
|---|---|---|---|
| Precision agriculture forsustainability | i | ||
| Contents | v | ||
| Series list | xi | ||
| Introduction | xvi | ||
| Part 1 Information gathering and processing | 1 | ||
| Chapter 1 Proximal crop sensing | 3 | ||
| 1 Introduction | 3 | ||
| 2 The evolution of crop sensors | 4 | ||
| 3 Current issues in sensor development | 8 | ||
| 4 Case studies | 11 | ||
| 5 Conclusion: sustainability and environmental implications | 23 | ||
| 6 Future trends for research | 24 | ||
| 7 Where to look for further information | 24 | ||
| 8 References | 24 | ||
| Chapter 2 Proximal soil surveying and monitoring techniques | 29 | ||
| 1 Introduction | 29 | ||
| 2 Key challenges in monitoring soils | 30 | ||
| 3 Soil sampling methods | 31 | ||
| 4 Proximal soil sensing: definitions and principles | 34 | ||
| 5 Electrical soil sensors | 36 | ||
| 6 Optical soil sensors | 49 | ||
| 7 Soil temperature sensors | 54 | ||
| 8 Electrochemical soil sensors | 55 | ||
| 9 Soil radioactive radiation sensors | 56 | ||
| 10 Mechanical soil sensors | 59 | ||
| 11 Other sensors | 61 | ||
| 12 Integration of proximal soil sensing into agricultural management | 62 | ||
| 13 Summary | 64 | ||
| 14 Future trends | 67 | ||
| 15 Acknowledgements | 68 | ||
| 16 Where to look for further information | 69 | ||
| 17 References | 70 | ||
| Chapter 3 Airborne and satellite remote sensors for precision agriculture | 79 | ||
| 1 Introduction | 79 | ||
| 2 Airborne imaging systems: overview and multispectral systems based on industrial cameras | 80 | ||
| 3 Airborne imaging systems: multispectral systems based on consumer-grade cameras | 84 | ||
| 4 Airborne imaging systems: hyperspectral sensors | 86 | ||
| 5 Airborne imaging systems: application examples | 88 | ||
| 6 High-resolution satellite sensors: overview and varieties | 96 | ||
| 7 High-resolution satellite sensors: application examples | 99 | ||
| 8 Challenges and future trends | 101 | ||
| 9 Summary | 102 | ||
| 10 Where to look for further information | 102 | ||
| 11 Disclaimer | 103 | ||
| 12 References | 103 | ||
| Chapter 4 The use of unmanned aerial systems (UASs) in precision agriculture | 107 | ||
| 1 Introduction | 107 | ||
| 2 Platforms and sensors | 108 | ||
| 3 Flight planning and imagery acquisition | 110 | ||
| 4 Image processing: stitching and ortho-rectification | 111 | ||
| 5 UAS imagery applications | 112 | ||
| 6 Image analysis | 116 | ||
| 7 Case study | 117 | ||
| 8 Future trends and conclusion | 119 | ||
| 9 Acknowledgements | 120 | ||
| 10 Where to look for further information | 121 | ||
| 11 References | 121 | ||
| Chapter 5 Key challenges and methods in identifying management zones | 129 | ||
| 1 Introduction | 129 | ||
| 2 Methods to delineate management zones | 131 | ||
| 3 Case study on delineation of management zones in wine grapes | 133 | ||
| 4 Case study on delineation of management zones in table grapes | 135 | ||
| 5 Case study on delineation of management zones in olive oil tree plantation | 138 | ||
| 6 Summary | 139 | ||
| 7 Where to look for further information | 139 | ||
| 8 References | 140 | ||
| Chapter 6 Modelling and decision support systems in precision agriculture | 145 | ||
| 1 Introduction | 145 | ||
| 2 Key issues | 148 | ||
| 3 Human and social aspects | 152 | ||
| 4 Case studies with an emphasis on nitrogen management | 153 | ||
| 5 Research options for decision support systems to improve productivity in a precision agriculture framework | 160 | ||
| 6 Conclusion | 163 | ||
| 7 Future trends | 163 | ||
| 8 Where to look for further information | 165 | ||
| 9 References | 165 | ||
| Part 2 Delivery systems | 169 | ||
| Chapter 7 Variable-rate application technologies in precision agriculture | 171 | ||
| 1 Introduction | 171 | ||
| 2 Characteristics of VRA control systems | 172 | ||
| 3 Liquid VRA systems | 176 | ||
| 4 Dry VRA systems | 178 | ||
| 5 Case studies | 181 | ||
| 6 Current status | 187 | ||
| 7 Future trends and conclusion | 189 | ||
| 8 Where to look for further information | 189 | ||
| 9 References | 190 | ||
| Chapter 8 Spray technologies in precision agriculture | 195 | ||
| 1 Introduction | 195 | ||
| 2 Features of field crop sprayers for precision agriculture | 197 | ||
| 3 Case study 1: designing and developing a system for spot treatment of volunteer potatoes | 206 | ||
| 4 Case study 2: a patch spraying system for applying herbicides to field crops | 210 | ||
| 5 Conclusion | 211 | ||
| 6 Future trends | 213 | ||
| 7 Where to look for further information | 214 | ||
| 8 References | 214 | ||
| Chapter 9 Intelligent machinery for precision agriculture | 219 | ||
| 1 Introduction | 219 | ||
| 2 Automated guidance systems: overview and global navigation satellite system (GNSS)-based systems | 220 | ||
| 3 Automated guidance systems: vision-based systems | 222 | ||
| 4 Path planning | 225 | ||
| 5 Automated actuation systems | 229 | ||
| 6 Implement controls | 231 | ||
| 7 Future trends: increasingly autonomous systems and their potential impacts | 232 | ||
| 8 Where to look for further information | 235 | ||
| 9 References | 235 | ||
| Chapter 10 Controlled traffic farming in precision agriculture | 239 | ||
| 1 Introduction | 239 | ||
| 2 Controlled traffic farming systems: definition and requirements | 241 | ||
| 3 Sustainability of controlled traffic farming | 247 | ||
| 4 Coupling controlled traffic farming with precision agriculture | 254 | ||
| 5 Future trends and conclusion | 258 | ||
| 6 Disclaimer | 259 | ||
| 7 Where to look for further information | 259 | ||
| 8 References | 259 | ||
| Part 3 Applications | 271 | ||
| Chapter 11 Precision tillage systems | 273 | ||
| 1 Introduction | 273 | ||
| 2 Depth-prescribed tillage to control subsoil compaction | 274 | ||
| 3 Soil sensing to enable precision tillage | 275 | ||
| 4 Extracting information from soil sensors | 277 | ||
| 5 Implementing depth control | 278 | ||
| 6 Tractor/implement guidance technology | 279 | ||
| 7 Conclusion | 280 | ||
| 8 Where to look for further information | 280 | ||
| 9 References | 281 | ||
| Chapter 12 Variable-rate seeding systems for precision agriculture | 285 | ||
| 1 Introduction | 285 | ||
| 2 Variable-rate seeding technology | 288 | ||
| 3 Variable-rate seeding strategies | 292 | ||
| 4 The value of variable-rate seeding | 294 | ||
| 5 Conclusion and future trends | 295 | ||
| 6 Where to look for further information | 296 | ||
| 7 References | 296 | ||
| Chapter 13 Site-specific nutrient management systems | 299 | ||
| 1 Introduction | 299 | ||
| 2 Processes to inform site-specific nutrient management | 301 | ||
| 3 Regional perspectives | 307 | ||
| 4 Conclusions and future trends | 313 | ||
| 5 Where to look for further information | 316 | ||
| 6 References | 316 | ||
| Chapter 14 Site-specific irrigation systems | 323 | ||
| 1 Introduction | 323 | ||
| 2 Field-level mapping of soil variability | 325 | ||
| 3 Delineation of irrigation management zones | 328 | ||
| 4 Quantifying the potential impact of variable rate irrigation | 332 | ||
| 5 Site-specific irrigation management | 335 | ||
| 6 Future trends and conclusion | 340 | ||
| 7 List of abbreviations | 341 | ||
| 8 Where to look for further information | 342 | ||
| 9 References | 342 | ||
| Chapter 15 Precision crop protection systems | 347 | ||
| 1 Introduction | 347 | ||
| 2 Variability of pest incidence and pest management strategies | 349 | ||
| 3 Sensor use for disease management | 355 | ||
| 4 Sensor use for the management of invertebrate pests | 369 | ||
| 5 Perspectives | 374 | ||
| 6 References | 378 | ||
| Chapter 16 Precision weed management systems | 399 | ||
| 1 Introduction | 399 | ||
| 2 Weed detection | 399 | ||
| 3 Dynamics of weed populations | 404 | ||
| 4 Spatial and temporal stability of weed distributions | 405 | ||
| 5 Spraying technologies for precision weed control | 406 | ||
| 6 Precision weed hoeing and harrowing | 409 | ||
| 7 Future trends and conclusion | 416 | ||
| 8 References | 416 | ||
| Chapter 17 Precision livestock farming and pasture management systems | 421 | ||
| 1 Introduction | 421 | ||
| 2 Individual animal management in extensive grazing systems | 424 | ||
| 3 Precision pasture and range management | 431 | ||
| 4 Case study 1: using a basic farm GIS to determine sustainable long-term stocking rates | 432 | ||
| 5 Case study 2: integrating satellite MS imaging with plant growth modelling to manage livestock rotations | 442 | ||
| 6 Future trends and conclusion | 451 | ||
| 7 Where to look for further information | 452 | ||
| 8 References | 452 | ||
| Chapter 18 The economics of precision agriculture | 461 | ||
| 1 Introduction | 461 | ||
| 2 Adoption of PA technology | 463 | ||
| 3 PA adoption and economics | 470 | ||
| 4 Predicting future trends based on recent studies of PA profitability | 472 | ||
| 5 Future trends and conclusion | 476 | ||
| 6 Where to look for further information | 477 | ||
| 7 References | 478 | ||
| Index | 483 |