196 citations · 427 across the 9 of their papers we have counts for
5 papers · 1 filter
Simultaneous Corn and Soybean Yield Prediction from Remote Sensing Data Using Deep Transfer Learning
Saeed Khaki, Hieu Pham, Lizhi Wang
Large-scale crop yield estimation is, in part, made possible due to the availability of remote sensing data allowing for the continuous monitoring of crops throughout their growth…
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…
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation
Saeed Khaki, Hieu Pham, Ye Han +3
The success of modern farming and plant breeding relies on accurate and efficient collection of data. For a commercial organization that manages large amounts of crops, collecting…
Convolutional Neural Networks for Image-based Corn Kernel Detection and Counting
Saeed Khaki, Hieu Pham, Ye Han +3
Precise in-season corn grain yield estimates enable farmers to make real-time accurate harvest and grain marketing decisions minimizing possible losses of profitability. A well dev…
Meta Pseudo Labels
Hieu Pham, Zihang Dai, Qizhe Xie +2
We present Meta Pseudo Labels, a semi-supervised learning method that achieves a new state-of-the-art top-1 accuracy of 90.2% on ImageNet, which is 1.6% better than the existing st…