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20112026
most citedCrop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning

226 citations · 733 across the 101 of their papers we have counts for

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Showing 2016Show all

6 papers · 1 filter

physics.comp-ph2016★ 1 cited

Massively parallel-in-space-time, adaptive finite element framework for non-linear parabolic equations

Robert Dyja, Baskar Ganapathysubramanian, Kristoffer G. van der Zee

We present an adaptive methodology for the solution of (linear and) non-linear time dependent problems that is especially tailored for massively parallel computations. The basic co…

cs.LG2016★ 1 cited

A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert knowledge

Vikas Chawla, Hsiang Sing Naik, Adedotun Akintayo +4

Crop yield forecasting is the methodology of predicting crop yields prior to harvest. The availability of accurate yield prediction frameworks have enormous implications from multi…

cond-mat.soft2016★ 15 cited

A finite element approach to self-consistent field theory calculations of multiblock polymers

David M. Ackerman, Kris Delaney, Glenn H. Fredrickson +1

Self-consistent field theory (SCFT) has proven to be a powerful tool for modeling equilibrium microstructures of soft materials, particularly for multiblock polymers. A very succes…

cs.LG2016

Deep Action Sequence Learning for Causal Shape Transformation

Kin Gwn Lore, Daniel Stoecklein, Michael Davies +2

Deep learning became the method of choice in recent year for solving a wide variety of predictive analytics tasks. For sequence prediction, recurrent neural networks (RNN) are ofte…

math.NA2016★ 4 cited

Constructing low-dimensional stochastic wind models through hierarchical spatial temporal decomposition

Qiang Guo, Daniel Rajewski, Eugene Takle +1

Current wind turbine simulations successfully use turbulence generating tools for modeling behavior. However, they lack the ability to reproduce variabilities in wind dynamics and…

cs.CV2016★ 7 cited

An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection

Adedotun Akintayo, Nigel Lee, Vikas Chawla +7

This paper proposes a novel selective autoencoder approach within the framework of deep convolutional networks. The crux of the idea is to train a deep convolutional autoencoder to…