Slypnet: spikelet-based yield prediction of wheat using advanced plant phenotyping and computer vision techniques

HIGHLIGHTS

• who: Sudeep Marwaha from the Mississippi State University, United States have published the research work: SlypNet: Spikelet-based yield prediction of wheat using advanced plant phenotyping and computer vision techniques, in the Journal: (JOURNAL) of 26/Nov/2018
• what: This study evaluated existing methods using computer vision, and improvement cues were taken. As the study mainly focused on the early-staged plants, the HLS was proved to be a better format for spike detection.
• how: In this study imaging was done three times (3600 images) (first on 1 2 3 and 4 of . . .
  

   

  

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