The latent of Spectra fusion of X-Ray Fluorescence (XRF) and Mid-Infrared (MIR) Spectroscopy for detection and management of the Aluminium (Al) and Manganese (Mn) content in Canadian Soils for Potato (Solanum tuberosum L) cultivation.

The successful agronomic strategy relies on nutrient detection and estimation. Adequate management of nutrients is an important concern for the whole growth period of Potato (Solanum tuberosum L.) cultivation. In this work, we try to analyze the situation of potential harmful elements for potato production such as Aluminium (Al) and Manganese (Mn) in soil and plant, using spectroscopy, and find soil conditions that suppress their intake to the plants. based on soil attributes like pH, Nitrogen, Organic and Inorganic Carbon, water content and Cation exchange capability. The expected outcomes are :
i) To Detect and estimate Al and Mn concentrations in Soil and Potato plant
ii) To find the relationship between the situation of Al and Mn in the plant and soil and the effect of soil conditions on the uptake.
iii) To Develop prediction models of Al and Mn based on different machine learning techniques.

Faculty Supervisor:

Ahmad Al-Mallahi

Student:

Partner:

Indian Institute of Technology Tirupati

Discipline:

Engineering

Sector:

Agriculture and Food; Technology

University:

Dalhousie University

Program: