I am at the end of my Master’s degree in Data Science and Software Design & Development at CSU. With the foundation of Software Engineering, learning about Data Mining in this course has given me a better understanding of the solid relationship between data analysis and the overall system’s performance. Especially in the new era when the ICT revolution is enabled by the power of statistics in significant volume, data science is the supporting rationale for the product of any system in every industry.

While security, finance and customer service have been successful in implementing the modern emerging technology in their operation with proven phenomenal outcomes, agriculture can be considered a new area with debatable results. In the last few years, the impact of climate change has affected farming production globally. In just over a decade, the world welcomed the 7 billionth person and the 8 billionth one. It encouraged me to study how data mining can push agriculture moving toward adapting to the new circumstances in the most efficient direction. And the first approach I would like to conduct is to gain information on how the industry expert has been experimented in the field and learn from them.

This topic is my capstone project in the final semester of my Master’s degree at CSU. A general exploration was done previously in ITC 516 – Data Mining and Visualisation for Business Intelligence and can be found in the link below.