Development of a general prediction model of moisture content in maize seeds based on lw-nir hyperspectral imaging

HIGHLIGHTS

• who: Zheli Wang and colleagues from the College of Information and Electrical Engineering, China Agricultural University, Qinghua East Rood have published the research: Development of a General Prediction Model of Moisture Content in Maize Seeds Based on LW-NIR Hyperspectral Imaging, in the Journal: Agriculture 2023, 359 of /2023/
• what: In subsequent research, the application cost of this technology should be reduced first, and then the research focus should be placed on the simultaneous detection of multiple qualities, such as protein and vitality, etc.
• how: In this study the long-wave near-infrared . . .
  

   

  

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