Research reveals AI-powered model that helps predict staple crop yields

16 October 2023, Dubai, UAE: On a mission to support the global campaign for zero hunger, a Rochester Institute of Technology (RIT) Dubai graduate published a book to share her findings on predicting staple crop yields in arid and desert climates. Using a branch of artificial intelligence known as machine learning, Hames Sherif has applied her graduate research studies to develop a model that could help farmers manage their resources more efficiently and aid long-term food security.

RIT Dubai Graduate Hames Sherif has applied her research studies to develop a model that could help farmers manage their resources efficiently and aid long-term food security.

Inspired by the United Nations Sustainable Development Goal 2, which aims to create a world free of hunger by 2030, Hames explored using her passion for data and statistics to address food security. Through a study conducted as part of her Master of Science in Professional Studies: Data Analytics degree, Hames used a standard algorithm to create a tool to estimate more accurately how much crop will be produced in a season. The resulting research paper attracted attention from the international academic community and was subsequently published in a book by Eliva Press.