A novel deep learning-based method for detection of weeds in vegetables.

Journal: Pest management science
Published Date: Feb 2, 2022

Abstract

BACKGROUND: Precision weed control in vegetable fields can substantially reduce the required weed control inputs. Rapid and accurate weed detection in vegetable fields is a challenging task due to the presence of a wide variety of weed species at various growth stages and densities. This paper presents a novel deep-learning-based method for weed detection that recognizes vegetable crops and classifies all other green objects as weeds.

Authors

  • Xiaojun Jin
    College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China.
  • Yanxia Sun
    School of Rail Transportation, Nanjing Vocational Institute of Transport Technology, Nanjing, China.
  • Jun Che
    College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China.
  • Muthukumar Bagavathiannan
    Department of Soil and Crop Sciences, Texas A&M University, College Station, Texas, United States of America.
  • Jialin Yu
    Department of Mathematics and Numerical Simulation and High-Performance Computing Laboratory, School of Sciences, Nanchang University, Nanchang 330031, China.
  • Yong Chen
    Department of Urology, Chongqing University Fuling Hospital, Chongqing, China.

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