A Comprehensive Modeling Approach for Crop Yield Forecasts using AI-based Methods and Crop Simulation Models

16 June 2023

Papers citing "A Comprehensive Modeling Approach for Crop Yield Forecasts using AI-based Methods and Crop Simulation Models"

8 / 8 papers shown

Title
Estimating crop yields with remote sensing and deep learning R. L. F. Cunha B. Silva 38 14 0 21 Jul 2020
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 681 5,872 0 25 Jul 2019
Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction L. Nguyen Jiajie Zhen Zhe Lin Hanxiang Du Zhou Yang Wenxuan Guo Fang Jin 38 30 0 16 Nov 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression Volodymyr Kuleshov Nathan Fenner Stefano Ermon BDL UQCV 209 636 0 01 Jul 2018
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast Igor Oliveira R. L. F. Cunha B. Silva M. Netto 47 64 0 25 Jun 2018
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification Rohit Tripathy Ilias Bilionis AI4CE 71 411 0 02 Feb 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 894 9,364 0 06 Jun 2015
Exploring multi-dimensional spaces: a Comparison of Latin Hypercube and Quasi Monte Carlo Sampling Techniques S. Kucherenko Daniel Albrecht Andrea Saltelli 47 107 0 10 May 2015