How Artificial Intelligence is Revolutionizing Crop Yield Prediction

Authors

  • Faith Akinyemi University of Winnipeg

DOI:

https://doi.org/10.15173/cjsc.v1i1.3941

Keywords:

prediction, artificial intelligence, RGB images, yield, Explainable AI (XAI)

Abstract

As the world’s population grows, producing enough food is essential. New technology is helping farmers make this happen. I am focusing on using computers to predict how much crops will grow. I am working with images of pea plants when they are still young and use them to figure out how much food will be harvested in the future from the field. One way to do this is to have the computer look at how green the crops are in each image, which shows how healthy they are. Other visual clues our model can look at are how many flowers or how many pods the plants have, or the size of their leaves. The computer learns from these clues and compares what it has learned. This tool can help farmers to make decisions on how to grow their food better and plan for the future which leads to better use of their resources and higher crop production.

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Published

2025-12-05

How to Cite

Akinyemi, F. (2025). How Artificial Intelligence is Revolutionizing Crop Yield Prediction. The Canadian Journal of Science Communication, 1(1), 9–12. https://doi.org/10.15173/cjsc.v1i1.3941

Issue

Section

Create-a-thon Pieces