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100803s2010 ne | s |||| 0|eng d |
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|a 9789048192779
|9 978-90-481-9277-9
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|a 10.1007/978-90-481-9277-9
|2 doi
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|a S1-S972
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|a TVB
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|a TEC003000
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|a 630
|2 23
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|a Oerke, Erich-Christian.
|e editor.
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|a Precision Crop Protection - the Challenge and Use of Heterogeneity
|c edited by Erich-Christian Oerke, Roland Gerhards, Gunter Menz, Richard A. Sikora.
|h [electronic resource] /
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|a Dordrecht :
|b Springer Netherlands :
|b Imprint: Springer,
|c 2010.
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300 |
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|a XXIV, 441p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
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|a Preface -- Part I - Spatial and temporal heterogeneity of crops, pests, diseases and weeds<U+0013> causes and implications -- 1. Soil heterogeneity and crop growth; V Adamchuk -- 2. Spatial and temporal dynamics of weed populations; R Gerhards -- 3. Spatial and temporal dynamics of pathogens; FW Nutter -- 4. Spatial and temporal dynamics of arthropods in arable fields; M van Helden -- Part II - Sensing and sensor technologies in crop protection -- 5. The application of laboratory spectroscopy and optical remote sensing for estimating soil properties; J Hill -- 6. Sensing of photosynthetic activity of crops; U Rascher -- 7. Remote sensing for precision crop protection <U+0013> a matter of scale; K Voss -- 8. Detection and identification of weeds; M Weis -- 9. Detection of fungal diseases optically and pathogen inoculum by air sampling; JS West -- 10. Remote sensing for the detection of plant parasitic nematodes and disease complexes; R Sikora -- 11. Potential of digital thermography for disease control; EC Oerke -- 12. Geographical approaches for integrated pest management of arthropods in forestry and row crops; J Willers -- Part III - Modelling and decision support systems -- 13. Handling and managment of spatial data; G Bareth -- 14. Decision rules for site-specific weed management; C Gutjahr -- 15. Modelling plant diseases for decision making in crop protection; V Rossi -- 16. Model validation and use of geographic information systems (GIS) in crop protection warning service; P Racca -- Part IV - Application technologies for site-specific crop protection -- 17. Mechanical weed control; V Rueda-Ayala -- 18. Direct injection sprayer technolouy; P Schulze Lammers -- 19. Modern application techniques for pesticides; J Langewald -- 20. Autonomous systems for plant protection; HW Griepentrog -- 21. Variable rate technology for herbicide application; M Sk̲efeld -- 22. Variable rate application of fungicides; KH Dammer -- Part V - Current use of Precision Crop Protection in practice -- 23. Providing precision crop and range protection in the U.S. Northern Great Plains; G Seielstad -- 24. Site-specific detection and management of nematodes; J Muller -- 25. Precision disease control in bed-grown crop; J Van de Zande -- 26. Economic evaluation of precision crop protection measures; JO Schroers -- Index.
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520 |
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|a Precision farming is an agricultural management system using global navigation satellite systems, geographic information systems, remote sensing, and data management systems for optimizing the use of nutrients, water, seed, pesticides and energy in heterogeneous field situations. This book, generated by scientists from a broad range of scientific disciplines, provides extensive information on the state-of-the-art of research on precision crop protection and recent developments in site-specific application technologies for the management of weeds, arthropod pests, pathogens and nematodes. It gives the reader an up-to-date and in-depth review of both basic and applied research developments. The chapters discuss I) biology and epidemiology of pests, II) new sensor technologies, III) applications of multi-scale sensor systems, IV) sensor detection of pests in growing crops, V) spatial and non-spatial data management, VI) impact of pest heterogeneity and VII) precise mechanical and chemical pest control. Examples for the use of technologies are given for the management of pests which enable growers to vary application timing and dosage, and to optimize pesticide mixtures or intensity of mechanical weeding according to the spatial and temporal variability of pests.
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|a Life sciences.
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|a Remote sensing.
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|a Agriculture.
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|a Entomology.
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650 |
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4 |
|a Life Sciences.
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|a Agriculture.
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650 |
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4 |
|a Remote Sensing/Photogrammetry.
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650 |
2 |
4 |
|a Geotechnical Engineering & Applied Earth Sciences.
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650 |
2 |
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|a Entomology.
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700 |
1 |
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|a Gerhards, Roland.
|e editor.
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700 |
1 |
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|a Menz, Gunter.
|e editor.
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700 |
1 |
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|a Sikora, Richard A.
|e editor.
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710 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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8 |
|i Printed edition:
|z 9789048192762
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856 |
4 |
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-90-481-9277-9
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912 |
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|a ZDB-2-SBL
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|a Biomedical and Life Sciences (Springer-11642)
|