Buch, Englisch, 415 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 657 g
Buch, Englisch, 415 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 657 g
Reihe: Progress in Precision Agriculture
ISBN: 978-3-030-78433-1
Verlag: Springer
Sensing Approaches for Precision Agriculture aims to bring together the ‘state of the art’ of the most popular sensing techniques and the current state of research on the application of sensors in Precision Agriculture (PA). Sensing is of great value in PA because it provides cheap and immediate data for management. This book gives a broad overview of sensing in PA and a coherent introduction for new professionals and research scientists. Readers are introduced to the potential applications of a range of different sensors, how they should be used properly and their limitations for use in PA. Chapters on specific topics and case studies provide depth and enable implementation of the methods by users. A general introduction about sensing techniques in PA is followed by Chapters 2–9 on the most important specific techniques in sensing and Chapters 10–13 include mini-case studies, each showing cutting-edge applications for different sensing methods. Finally, there is an Epilogue on how we expect sensors and analysis to develop.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Introduction to Sensors Used in Precision Agriculture
Ruth Kerry, Brigham Young University, USA
Alexandre Escolà, Universitat de Lleida, Catalonia, Spain
2. Remote Sensing
David Mulla, University of Minnesota, USA
Pablo Zarco-Tejada, Spanish National Research Council (CSIC), Spain
3. Crop Geometry and Structure
Alexandre Escolà, Universitat de Lleida, Catalonia, Spain
4. Soil Sensing
Robin Gebbers, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Germany
Slava Adamchuck, McGuill University, Canada
5. Sensing with Wireless Sensor Networks
Francis J. Pierce, Michigan State University East Lansing, USA
George Vellidis, University of Georgia, USA
6. Health, Vigour and Disease Detection in Arable Crops
Richard Ferguson, University of Nebraska, USA
Yuxin Miao, China Agricultural University, China
7. Other Sensing Techniques in Arable Crops
Dan S. Long, USDA Agricultural Research Service, Washington, USA
R. Hackett, Teagasc, Oak Park Research Centre, Carlow, Ireland
8. Sensing in Horticulture
Spyros Fountas, Agricultural University of Athens, Greece
Manuela Zude, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Germany
9. Use of UAV in Precision Agriculture
Chunhua Zhang, Department of Geography and GeologyAlgoma University Sault Ste. Marie, Canada
John M. Kovacs, Department of Geography Nipissing University North Bay, Canada
10. Weed Detection
F. López-Granados, Spanish National Research Council (CSIC), Spain
Svend Christensen, Danish Institute of Agricultural Sciences, Denmark
Roland Gerhards, Universität Hohenheim, Germany
11. Precision Irrigation
V. Alchanatis Yafit Cohen, Institute of Agricultural Engineering, ARO, Israel
J. Bellvert, Research Institute IRTA, Catalonia, Spain
12. Health and Vigour
Bruno Tisseyre, Montpellier SupAgro, Montpellier, France
Jose Molin, University of Sao Paulo, Brasil
13. Disease Detection
Erich-Christian Oerke, University of Bonn, Germany
14. Conclusions: Future Directions in Sensing for Precision Agriculture
Ruth Kerry, Brigham Young University, USA
Alexandre Escolà, Universitat de Lleida, Catalonia




