852 citations · 2.1k across the 14 of their papers we have counts for
14 papers
VisTIRA: Closing the Image-Text Modality Gap in Visual Math Reasoning via Structured Tool Integration
Saeed Khaki, Ashudeep Singh, Nima Safaei +1
Vision-language models (VLMs) lag behind text-only language models on mathematical reasoning when the same problems are presented as images rather than text. We empirically charact…
A Hybrid Deep Learning-based Approach for Optimal Genotype by Environment Selection
Zahra Khalilzadeh, Motahareh Kashanian, Saeed Khaki +1
Precise crop yield prediction is essential for improving agricultural practices and ensuring crop resilience in varying climates. Integrating weather data across the growing season…
Corn Yield Prediction with Ensemble CNN-DNN
Mohsen Shahhosseini, Guiping Hu, Saeed Khaki +1
We investigate the predictive performance of two novel CNN-DNN machine learning ensemble models in predicting county-level corn yields across the US Corn Belt (12 states). The deve…
Winter wheat yield prediction using convolutional neural networks from environmental and phenological data
Amit Kumar Srivastava, Nima Safaei, Saeed Khaki +5
Crop yield forecasting depends on many interactive factors, including crop genotype, weather, soil, and management practices. This study analyzes the performance of machine learnin…
WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting
Saeed Khaki, Nima Safaei, Hieu Pham +1
For a globally recognized planting breeding organization, manually-recorded field observation data is crucial for plant breeding decision making. However, certain phenotypic traits…
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…
A CNN-RNN Framework for Crop Yield Prediction
Saeed Khaki, Lizhi Wang, Sotirios V. Archontoulis
Crop yield prediction is extremely challenging due to its dependence on multiple factors such as crop genotype, environmental factors, management practices, and their interactions.…
Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach
Saeed Khaki, Zahra Khalilzadeh, Lizhi Wang
Environmental stresses such as drought and heat can cause substantial yield loss in agriculture. As such, hybrid crops that are tolerant to drought and heat stress would produce mo…
Crop Yield Prediction Using Deep Neural Networks
Saeed Khaki, Lizhi Wang
Crop yield is a highly complex trait determined by multiple factors such as genotype, environment, and their interactions. Accurate yield prediction requires fundamental understand…