A Comparison Between Major Artificial Intelligence Models for Crop Yield Prediction: Case Study of the Midwestern United States, 2006–2015

Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images

(2019) Qi Yang et al.   FIELD CROPS RESEARCH

On the relationships between satellite-based drought index and gross primary production in the North Korean croplands, 2000–2012

(2016) Soo-Jin Lee et al.   Remote Sensing Letters

Comparison of MODIS 250 m products for early corn yield predictions: a case study in Vojvodina, Serbia

(2016) Miro Govedarica et al.   Open Geosciences

Multivariate adaptive regression splines and neural network models for prediction of pile drivability

(2016) Wengang Zhang et al.   Geoscience Frontiers

Random Forests for Global and Regional Crop Yield Predictions

(2016) Jig Han Jeong et al.   PLoS One

Evaluation of the Integrated Canadian Crop Yield Forecaster (ICCYF) model for in-season prediction of crop yield across the Canadian agricultural landscape

(2015) Aston Chipanshi et al.   AGRICULTURAL AND FOREST METEOROLOGY

Assessing the Performance of MODIS NDVI and EVI for Seasonal Crop Yield Forecasting at the Ecodistrict Scale

(2014) Louis Kouadio et al.   Remote Sensing

Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics

(2013) Douglas K. Bolton et al.   AGRICULTURAL AND FOREST METEOROLOGY

An assessment of pre- and within-season remotely sensed variables for forecasting corn and soybean yields in the United States

(2013) David M. Johnson   REMOTE SENSING OF ENVIRONMENT

Crop yield forecasting on the Canadian Prairies using MODIS NDVI data

(2011) M.S. Mkhabela et al.   AGRICULTURAL AND FOREST METEOROLOGY

A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery

(2011) Dennis C. Duro et al.   REMOTE SENSING OF ENVIRONMENT

Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program

(2011) Claire Boryan et al.   Geocarto International

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data

(2010) I. Becker-Reshef et al.   REMOTE SENSING OF ENVIRONMENT

Estimating impervious surfaces from medium spatial resolution imagery using the self-organizing map and multi-layer perceptron neural networks

(2009) Xuefei Hu et al.   REMOTE SENSING OF ENVIRONMENT

The influence of urban structures on impervious surface maps from airborne hyperspectral data

(2009) S. van der Linden et al.   REMOTE SENSING OF ENVIRONMENT

Improved wheat yield and production forecasting with a moisture stress index, AVHRR and MODIS data

(2009) A. G. T. Schut et al.   Crop & Pasture Science

Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China

(2008) Jianqiang Ren et al.   International Journal of Applied Earth Observation and Geoinformation

Neural networks as a tool for constructing continuous NDVI time series from AVHRR and MODIS

(2008) M. E. Brown et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Soybean yield physiology and development of high-yielding practices in Northeast China

(2007) Xiaobing Liu et al.   FIELD CROPS RESEARCH