Assessing crop damage from dicamba on non-dicamba-tolerant soybean by hyperspectral imaging through machine learning.

Journal: Pest management science
Published Date: Dec 1, 2019

Abstract

BACKGROUND: Dicamba effectively controls several broadleaf weeds. The off-target drift of dicamba spray or vapor drift can cause severe injury to susceptible crops, including non-dicamba-tolerant crops. In a field experiment, advanced hyperspectral imaging (HSI) was used to study the spectral response of soybean plants to different dicamba rates, and appropriate spectral features and models for assessing the crop damage from dicamba were developed.

Authors

  • Jingcheng Zhang
    College of Life Information Science & Instrument Engineering, Hangzhou Dianzi University, Hangzhou, China.
  • Yanbo Huang
    United States Department of Agriculture, Crop Production Systems Research Unit, Agricultural Research Service, Stoneville, MS, USA.
  • Krishna N Reddy
    United States Department of Agriculture, Crop Production Systems Research Unit, Agricultural Research Service, Stoneville, MS, USA.
  • Bin Wang
    State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China; New South Wales Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga 2650, Australia. Electronic address: bin.a.wang@dpi.nsw.gov.au.

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