Relationships between Blue‐ and Red‐based Vegetation Indices and Leaf Area and Yield of Alfalfa

No abstract is available for this paper.

• Publication year

  2007

• Venue

  Crop Science

• Publication date

  2007-11-01

• Fields of study

  Agricultural and Food Sciences, Biology, Environmental Science

• Identifiers
  DOI 10.2135/CROPSCI2007.01.0031
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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  2001cited by this paper
• Sensors to measure mass-flow-rate through a forage harvester

  2000cited by this paper
• Opportunities and limitations for image-based remote sensing in precision crop management

  1997influential reference
• Use of a green channel in remote sensing of global vegetation from EOS- MODIS

  1996cited by this paper
• A review of vegetation indices

  1995cited by this paper
• Spectral reflectance measurements of alfalfa under sheep grazing

  1990cited by this paper
• Leaf Area, Light Interception, and Yield Estimates from Spectral Components Analysis1

  1984cited by this paper
• Assessment of Four Techniques for Estimating Yield on Dryland Pastures1

  1977cited by this paper
• Optical parameters of leaves of 30 plant species.

  1973cited by this paper
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  1973cited by this paper
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  1965cited by this paper

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