EVALUATION OF REMOTE SENSING TO IDENTIFY VARIABILITY IN COTTON PLANT GROWTH AND CORRELATION WITH LARVAL DENSITIES OF BEET ARMYWORM AND CABBAGE LOOPER (LEPIDOPTERA:NOCTUIDAE)

No abstract is available for this paper.

• Publication year

  2003

• Venue

  Unknown venue

• Publication date

  2003-09-01

• Fields of study

  Agricultural and Food Sciences, Biology, Environmental Science

• Identifiers
  DOI 10.1653/0015-4040(2003)086[0290:EORSTI]2.0.CO;2
• 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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  2002influential reference
• ARTHROPOD MANAGEMENT Remote Sensing, Line-intercept Sampling for Tarnished Plant Bugs (Heteroptera: Miridae) in Mid-south Cotton

  1999cited by this paper
• 2011: An Agricultural Odyssey

  1999cited by this paper
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  1984cited by this paper
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  1982cited by this paper

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