Research on Soil Microplastics Detection Algorithm based on Hyperspectral Imaging Technology


  • Lu Zhang
  • Wenjie Wei
  • Gang Huang



Microplastics, Marine pollution, Hyperspectral, Support vector machine


The increasing concern over microplastic pollution has led to a growing number of studies and reports on microplastic contamination in soil. However, currently, there is no convenient and efficient method for detecting microplastics in soil. Therefore, we propose the use of hyperspectral imaging technology as a detection method and employ supervised classification algorithms for direct and effective identification and classification of microplastic pollutants in soil. In this study, experiments were conducted based on a hyperspectral imaging system with a wavelength range of 400-1000 nm. Three supervised classification algorithms, namely Support Vector Machine (SVM), Mahalanobis Distance (MD), and Maximum Likelihood (ML), were utilized to identify microplastics in the hyperspectral images. White and black polyethylene (PE) microplastic particles in the particle size range of 1-5 mm were extracted from the soil for analysis. The results indicate that SVM is the most suitable algorithm for detecting white PE microplastics in soil, with an average identification accuracy of 84% for white PE microplastic particles with particle sizes ranging from 1-5 mm.


Liu H, Yang X, Liu G, et al. Response of soil dissolved organic matter to microplastic addition in Chinese loess soil [J]. Chemosphere, 2017, 185: 907-917.

Rillig M C. Microplastic in terrestrial ecosystems and the soil? [J]. Environmental Science & Technology, 2012, 46(12): 6453-6454.

Fuller S, Gautam A. A procedure for measuring microplastics using pressurized fluid extraction [J]. Environmental Science & Technology, 2016, 50(11): 5774-5780.

Nizzetto L, Futter M, Langaas S. Are agricultural soils dumps for microplastics of urban origin? [J]. Environmental Science & Technology, 2016, 50(20): 10777-10779.

Mahon A M, O'Connell B, Healy M G, et al. Microplastics in sewage sludge: Effects of treatment [J]. Environmental Science & Technology, 2017, 51(2): 810-818.

Bläsing M, Amelung W. Plastics in soil: Analytical methods and possible sources [J]. Science of The Total Environment, 2018, 612: 422-435.

Briassoulis D, Babou E, Hiskakis M, et al. Analysis of long-term degradation behaviour of polyethylene mulching films with pro-oxidants under real cultivation and soil burial conditions [J]. Environmental Science and Pollution Research, 2015, 22(4): 2584-2598.

Harrison J P, Schratzberger M, Sapp M, et al. Rapid bacterial colonization of low-density polyethylene microplastics in coastal sediment microcosms [J]. BMC microbiology, 2014, 14: 232.

Browne M A, Niven S J, Galloway T S, et al. Microplastic moves pollutants and additives to worms, reducing functions linked to health and biodiversity [J]. Current Biology, 2013, 23: 2388-2392.

Koelmans A A, Besseling E, Foekema E M. Leaching of plastic additives to marine organisms [J]. Environmental Pollution, 2014, 187: 49-54.

Kwon J, Chang S, Hong S H, et al. Microplastics as a vector of hydrophobic contaminants: Importance of hydrophobic additives[J]. Integrated Environmental Assessment and Management, 2017, 13(3): 494-499.

Rillig M C, Bonkowski M. Microplastic and soil protists: A call for research [J]. Environmental Pollution, 2018, 241: 1128-1131.

Lwanga E H, Gertsen H, Gooren H, et al. Microplastics in the terrestrial ecosystem: Implications for Lumbricus terrestris (Oligochaeta, Lumbricidae) [J]. Environmental Science & Technology, 2016, 50: 2685-2691.

Cao D, Wang X, Luo X, et al. Effects of polystyrene microplastics on the fitness of earthworms in an agricultural soil [J]. IOP Conference Series: Earth and Environmental Science, 2017, 61(1): 12148.







How to Cite

Zhang, L., Wei, W., & Huang, G. (2024). Research on Soil Microplastics Detection Algorithm based on Hyperspectral Imaging Technology. Mathematical Modeling and Algorithm Application, 1(1), 11-15.