Automated soil sensing

Soil monitoring helps maintain ideal moisture, nutrient levels, and pH for specific crops. This promotes healthy plant growth and maximizes yield potential. Sensing based soil monitoring can provide rapid, cost-efficient assessment of soil conditions that support the management of soil.

This automated soil sensing system integrates multiple sensors, such as cameras, spectrometers, and machine learning to analyse various soil properties.

I worked on the control software for a spectrometer, prototype of a soil core feeding mechanism, and developed machine learning approaches (Shen et al., 2022) to model the spectra data to estimate soil properties.

This project was selected by the Curtin Accelerate program for its commercialisation potential. For a quick view of the project please see this video.

References

2022

SOIL

Miniaturised visible and near-infrared spectrometers for assessing soil health indicators in mine site rehabilitation

Zefang Shen, Haylee D’Agui, Lewis Walden, and 8 more authors

Soil, 2022

Bib HTML

@article{shen2022miniaturised,
  title = {Miniaturised visible and near-infrared spectrometers for assessing soil health indicators in mine site rehabilitation},
  author = {Shen, Zefang and D'Agui, Haylee and Walden, Lewis and Zhang, Mingxi and Yiu, Tsoek Man and Dixon, Kingsley and Nevill, Paul and Cross, Adam and Matangulu, Mohana and Hu, Yang and others},
  journal = {Soil},
  volume = {8},
  number = {2},
  pages = {467--486},
  year = {2022},
  publisher = {Copernicus Publications G{\"o}ttingen, Germany},
}