Reference number : GC-2017-Q1-00521, amendment number : , agreement type : G, recipient legal name : Adamchuk, Viacheslav (McGill University)|Adamchuk, Viacheslav (Université McGill), recipient country : CA, recipient province : nan, recipient city : Quebec|Québec, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : To date, cost of soil sampling and analysis constitute the greatest limitation for adjusting site-specific_x000D_
management of agricultural inputs according to local needs. Different new methods have been considered to_x000D_
replace laborious and expensive wet chemistry analytical techniques with minimum distortion proximal soil_x000D_
sensing. Among most favorable spectra-based techniques are visible, near-infrared, and mid-infrared_x000D_
spectroscopy, laser-induced break down spectroscopy (LIBS), as well as machine vision. Individually, each of_x000D_
these methods has provided positive results when attempting to predict specific physical and chemical soil_x000D_
properties. The goal of this research is to explore complementarity of these methods in order to optimize_x000D_
instrumentation and analytics to be used for streamline analysis of solid soil samples. Logiag is a young and_x000D_
innovative company that provides both services to growers in Eastern Canada and develops methodology for_x000D_
rapid soil analysis using LIBS. The results of this study will help enhance their novel and promising approach_x000D_
to soil testing and assist in implementation of precision agriculture on a large scale., program purpose french : To date, cost of soil sampling and analysis constitute the greatest limitation for adjusting site-specific_x000D_
management of agricultural inputs according to local needs. Different new methods have been considered to_x000D_
replace laborious and expensive wet chemistry analytical techniques with minimum distortion proximal soil_x000D_
sensing. Among most favorable spectra-based techniques are visible, near-infrared, and mid-infrared_x000D_
spectroscopy, laser-induced break down spectroscopy (LIBS), as well as machine vision. Individually, each of_x000D_
these methods has provided positive results when attempting to predict specific physical and chemical soil_x000D_
properties. The goal of this research is to explore complementarity of these methods in order to optimize_x000D_
instrumentation and analytics to be used for streamline analysis of solid soil samples. Logiag is a young and_x000D_
innovative company that provides both services to growers in Eastern Canada and develops methodology for_x000D_
rapid soil analysis using LIBS. The results of this study will help enhance their novel and promising approach_x000D_
to soil testing and assist in implementation of precision agriculture on a large scale., agreement title english : Analysis of complementarity of different spectral analytics to sense soil properties, agreement title french : Analysis of complementarity of different spectral analytics to sense soil properties, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-06-14, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada