Grants and Contributions:

Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019)

To date, cost of soil sampling and analysis constitute the greatest limitation for adjusting site-specificx000D
management of agricultural inputs according to local needs. Different new methods have been considered tox000D
replace laborious and expensive wet chemistry analytical techniques with minimum distortion proximal soilx000D
sensing. Among most favorable spectra-based techniques are visible, near-infrared, and mid-infraredx000D
spectroscopy, laser-induced break down spectroscopy (LIBS), as well as machine vision. Individually, each ofx000D
these methods has provided positive results when attempting to predict specific physical and chemical soilx000D
properties. The goal of this research is to explore complementarity of these methods in order to optimizex000D
instrumentation and analytics to be used for streamline analysis of solid soil samples. Logiag is a young andx000D
innovative company that provides both services to growers in Eastern Canada and develops methodology forx000D
rapid soil analysis using LIBS. The results of this study will help enhance their novel and promising approachx000D
to soil testing and assist in implementation of precision agriculture on a large scale.