Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms

14 August 2019

Papers citing "Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms"

6 / 6 papers shown

Title
An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions Saba Moeinizade Hieu H. Pham Ye Han Austin A. Dobbels Guiping Hu 28 29 0 02 Aug 2021
Winter wheat yield prediction using convolutional neural networks from environmental and phenological data A. Srivastava N. Safaei S. Khaki Gina M. Lopez W. Zeng F. Ewert T. Gaiser Jaber Rahimi 34 100 0 04 May 2021
Simultaneous Corn and Soybean Yield Prediction from Remote Sensing Data Using Deep Transfer Learning S. Khaki Hieu H. Pham Lizhi Wang 16 118 0 05 Dec 2020
Convolutional Neural Networks for Image-based Corn Kernel Detection and Counting S. Khaki Hieu H. Pham Ye Han Andy Kuhl W. Kent Lizhi Wang 17 53 0 26 Mar 2020
Forecasting Corn Yield with Machine Learning Ensembles Mohsen Shahhosseini Guiping Hu S. Archontoulis 37 167 0 18 Jan 2020
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 110 2,735 0 18 Aug 2015