rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Automation: The Future of Weed Control in Cropping Systems
  name:
    name part: Young, Stephen L.
    role:
      role term: editor.
  name:
    name part: Pierce, Francis J.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: ne
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 265 p. 86 illus., 47 illus. in color. online resource.
  abstract: This book shifts the paradigm that weeds can only be controlled using broadcast applications of chemical and mechanical techniques in distinct spatiotemporal scales, also referred to as integrated weed management. In fact, true integrated weed management is more than just diversification of techniques and for the first time could be achieved using advanced technologies. Automated weed control is not the proverbial ‘silver bullet’, but an entirely new approach in cropping systems where multiple weed control strategies are available for use at the same time. In an automated system, sensor and computer technologies onboard a robot would first categorize each and every plant in a farmer’s field as either weed or crop, and then go on to identify the species of weed. Once those identifications were made, multiple weed fighting strategies located on a single platform could be applied to individual plants based on their biology. If the system identified a weed that’s resistant to Roundup™, for example, it could be spritzed with a different herbicide. Or an onboard cutting or flaming micro-tool could be used to kill the plant instead. The production of a book that addresses weed control of the future will have profound impacts on current and future cropping systems across the globe. To date, no other resource exists on this important and rapidly advancing topic of automated weed control in cropping systems. In the near future, a new approach will be needed for managing weeds, especially with the challenges of weed resistance to herbicides, off-site movement of soil, fertilizers, and chemicals, an increasingly non-agrarian public, labor shortages, economies in recession, and the continued rural to suburban land use conversion. Automation is part of the solution.
  table of contents: Forward; Simon Blackmore -- Preface; Stephen L. Young -- Acknowledgements -- Introduction: Scope of the Problem – Rising Costs and Demand for Environmental -- Safety for Weed Control; Stephen L. Young, Francis J. Pierce, and Pete Nowak -- Part I Agricultural Production Systems -- Current State of Organic and Conventional Cropping Systems; Alec F. McErlich and Rick A. Boydston -- Part II Principles and Merging of Engineering and Weed Science -- Engineering Advancements; John K. Schueller -- Plant Morphology and the Critical Period of Weed Control; J. Anita Dille -- The Biological Engineer: Sensing the Difference between Crops and Weeds; David C. Slaughter -- Part III Primary Weed Control Tools for Automation -- Precision Planting and Crop Thinning; Scott A. Shearer and Santosh K. Pitla -- Automated Mechanical Weeding; M. Taufik Ahmad, Lie Tang, and Brian L. Steward -- Targeted and Micro-Dose Chemical Applications; Stephen L. Young and D. Ken Giles -- Part IV Field Applications -- Field Applications of Automated Weed Control: Western Hemisphere; Steven A. Fennimore, Bradley D. Hanson, Lynn M. Sosnoskie, Jayesh B. Samtani, Avishek Datta, Stevan Z. Knezevic, and Mark C. Siemens -- Field Applications of Automated Weed Control: Northwest Europe; Jan Willem Hofstee and Ard T. Nieuwenhuizen -- Field Applications of Automated Weed Control: Asia; Hiroshi Okamoto, Yumiko Suzuki, and Noboru Noguchi -- Part V Economies for Automated Weed Control -- Economics of Technology for Precision Weed Control in Conventional and Organic Systems; Florian Diekmann and Marvin T. Batte -- Future Adoption of Automation in Weed Control; Josse De Baerdemaeker -- Automation for Weed Control in Least Developing Countries (LDCs); Renan Aguero, Noel M. Estwick, and Edgar Gutierrez -- Part VI Future Directions -- Future Directions for Automated Weed Management in Precision Agriculture; Stephen L. Young, George E. Meyer, Wayne Woldt -- Appendix -- Glossary -- Index.
  note: edited by Stephen L. Young, Francis J. Pierce.
  subject:
    topic: Life sciences
  subject:
    topic: Agriculture
  subject:
    topic: Control engineering
  subject:
    topic: Robotics
  subject:
    topic: Mechatronics
  subject:
    topic: Automation
  subject:
    topic: Agricultural economics
  subject:
    topic: Life Sciences
  subject:
    topic: Agriculture
  subject:
    topic: Robotics and Automation
  subject:
    topic: Control, Robotics, Mechatronics
  subject:
    topic: Agricultural Economics
  classification: S1-S972
  classification: 630
  related item:
    title info:
      title: Springer eBooks
  identifier: 9789400775121
  identifier: http://dx.doi.org/10.1007/978-94-007-7512-1
  record info:
    record creation date: 131121
    record change date: 20151204180136.0
    record identifier: 978-94-007-7512-1