Analyzing Winter Wheat Growth Pattern using Remote Sensing.

The proposed research project focuses on improving winter wheat production in Northwestern Ontario, a region with a short growing season and unpredictable climate. Farmers must select optimal planting dates for winter wheat for maximum production and it is challenging due to the number of growing days and planting depth before winter. Hence, the project aims to analyze the growth pattern using remote sensing to develop standard procedure for the region. A multispectral camera attached to a drone will be used to capture images of the test area with a very high spatial resolution, which will then be processed using specialized image processing software and machine learning algorithm to obtain accurate information on crop growth dynamics. It is expected that this project will provide valuable information for improving production and efficiency in the region’s agriculture.

Faculty Supervisor:

Muditha Heenkenda

Student:

Partner:

Instituto Tecnológico de Costa Rica

Discipline:

Engineering

Sector:

Agriculture and Food; Technology; Environmental Science and Technology

University:

Lakehead University

Program: