Predicting Potato Crop Yield with Machine Learning and Deep Learning for Sustainable Agriculture
#1PRI RANKED
Most Cited Paper
in Potato Plant Research
18 Months Post-Publication
Class of 2026
“Predicting Potato Crop Yield with Machine Learning and Deep Learning for Sustainable Agriculture”
A research intelligence initiative by Pepkio
pri.pepkio.com
Topics
Potato yield prediction · K-nearest neighbors (KNN) · gradient boosting · XGBoost · multilayer perceptron · graph neural networks (GNNs) · gated recurrent units (GRUs) · long short-term memory networks (LSTM) · mean squared error (MSE) · root mean squared error (RMSE) · mean absolute error (MAE) · R-squared (R²) · spatial-temporal pattern recognition · Sustainable agriculture · food security forecasting
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Potato Plant Research Papers, Class of 2026. https://pri.pepkio.com/top-papers/potato-plant-research/2026. Accessed 2026-10-24. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459