8 citations · 15 across the 3 of their papers we have counts for
3 papers
Winter Wheat Crop Yield Prediction on Multiple Heterogeneous Datasets using Machine Learning
Yogesh Bansal, David Lillis, Mohand Tahar Kechadi
Winter wheat is one of the most important crops in the United Kingdom, and crop yield prediction is essential for the nation's food security. Several studies have employed machine…
A Deep Learning Model for Heterogeneous Dataset Analysis -- Application to Winter Wheat Crop Yield Prediction
Yogesh Bansal, David Lillis, Mohand Tahar Kechadi
Western countries rely heavily on wheat, and yield prediction is crucial. Time-series deep learning models, such as Long Short Term Memory (LSTM), have already been explored and ap…
Image-Based Sorghum Head Counting When You Only Look Once
Lawrence Mosley, Hieu Pham, Yogesh Bansal +1
Modern trends in digital agriculture have seen a shift towards artificial intelligence for crop quality assessment and yield estimation. In this work, we document how a parameter t…