852 citations · 2.1k across the 14 of their papers we have counts for
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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…
High-Throughput Image-Based Plant Stand Count Estimation Using Convolutional Neural Networks
Saeed Khaki, Hieu Pham, Ye Han +2
The future landscape of modern farming and plant breeding is rapidly changing due to the complex needs of our society. The explosion of collectable data has started a revolution in…
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…
Conformal Prediction Intervals for Neural Networks Using Cross Validation
Saeed Khaki, Dan Nettleton
Neural networks are among the most powerful nonlinear models used to address supervised learning problems. Similar to most machine learning algorithms, neural networks produce poin…
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…
Predicting Yield Performance of Parents in Plant Breeding: A Neural Collaborative Filtering Approach
Saeed Khaki, Zahra Khalilzadeh, Lizhi Wang
Experimental corn hybrids are created in plant breeding programs by crossing two parents, so-called inbred and tester, together. Identification of best parent combinations for cros…