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Integrating genotype and weather variables for soybean yield prediction using deep learning

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00288824openalex-snapshot

Predictive and postdictive success of statistical analyses of yield trials

inferredcites →https://doi.org/10.1007/bf02904196openalex-snapshot

Introduction of soybean to North America by Samuel Bowen in 1765

inferredcites →https://doi.org/10.1016/j.agrformet.2016.12.022openalex-snapshot

Statistical emulators of maize, rice, soybean and wheat yields from global gridded crop models

inferredcites →https://doi.org/10.1016/j.cj.2015.12.003openalex-snapshot

Warming decreases photosynthates and yield of soybean [Glycine max (L.) Merrill] in the North China Plain

inferredcites →https://doi.org/10.1016/s0167-8809(01)00358-9openalex-snapshot

Adaptation and evaluation of the CROPGRO-soybean model to predict regional yield and production

inferredcites →https://doi.org/10.1038/s41477-017-0007-7openalex-snapshot

Distinct genetic architectures for phenotype means and plasticities in Zea mays

inferredcites →https://doi.org/10.1049/cp:19991218openalex-snapshot

Learning to forget: continual prediction with LSTM

inferredcites →https://doi.org/10.1088/1748-9326/aa7f33openalex-snapshot

Comparing and combining process-based crop models and statistical models with some implications for climate change

inferredcites →https://doi.org/10.1093/jxb/44.1.109openalex-snapshot

Flower and Pod Development in Water-Deficient Soybeans (Glycine maxL. Merr.)

inferredcites →https://doi.org/10.1109/72.279181openalex-snapshot

Learning long-term dependencies with gradient descent is difficult

inferredcites →https://doi.org/10.1109/icfhr.2014.54openalex-snapshot

Fast and Robust Training of Recurrent Neural Networks for Offline Handwriting Recognition

inferredcites →https://doi.org/10.1109/tnnls.2016.2582924openalex-snapshot

LSTM: A Search Space Odyssey

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

inferredcites →https://doi.org/10.48550/arxiv.1409.3215openalex-snapshot

Sequence to Sequence Learning with Neural Networks

inferredcites →https://doi.org/10.82308/49932openalex-snapshot

Artificial neural networks and their application to sequence recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/agj2.20729openalex-snapshot

Estimation and forecasting of soybean yield using artificial neural networks

inferred← citeshttps://doi.org/10.1007/978-3-030-61725-7_13openalex-snapshot

Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems

inferred← citeshttps://doi.org/10.1007/978-3-031-88574-7_12openalex-snapshot

Deep Learning and Dynamic Mode Decomposition for Characterizing Combustion Instability

inferred← citeshttps://doi.org/10.1007/978-981-97-0341-8_24openalex-snapshot

Revolutionising Crop Yield Prediction: The Synergy of Remote Sensing and Artificial Intelligence Technologies

inferred← citeshttps://doi.org/10.1016/j.rse.2021.112514openalex-snapshot

Geographically and temporally weighted neural network for winter wheat yield prediction

inferred← citeshttps://doi.org/10.1038/s41598-024-55243-xopenalex-snapshot

A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction

inferred← citeshttps://doi.org/10.1079/9781836991328.0003openalex-snapshot

AI-Based Multiple Omics Data Integration for Plant Genomic Prediction

inferred← citeshttps://doi.org/10.1101/2019.12.18.881912openalex-snapshot

Predicting genotypic values associated with gene interactions using neural networks: A simulation study for investigating factors affecting prediction accuracy

inferred← citeshttps://doi.org/10.1109/icassp39728.2021.9413914openalex-snapshot

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation

inferred← citeshttps://doi.org/10.1371/journal.pone.0252402openalex-snapshot

Crop yield prediction integrating genotype and weather variables using deep learning

inferred← citeshttps://doi.org/10.31274/td-20240329-831openalex-snapshot

Trustworthy deep learning for cyber-physical systems

inferred← citeshttps://doi.org/10.4018/978-1-7998-2108-3.ch011openalex-snapshot

Deep Learning Solutions for Agricultural and Farming Activities

inferred← citeshttps://doi.org/10.47992/ijcsbe.2581.6942.0208openalex-snapshot

Impact of Adopting Machine Learning Methods on Indian Agriculture Industry- A Case Study

inferred← citeshttps://doi.org/10.48175/ijarsct-23688openalex-snapshot

Deep Learning Approach for Seed Disease Prediction Using VGG16 with Transfer Learning and Optuna Optimization

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