Monitoring Within-Field Variability of Corn Yield using Sentinel-2 and Machine Learning Techniques

Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

(2019) Liang Han et al.   Plant Methods

High resolution wheat yield mapping using Sentinel-2

(2019) Merryn L. Hunt et al.   REMOTE SENSING OF ENVIRONMENT

Forecasting maize yield at field scale based on high-resolution satellite imagery

(2018) Rai A. Schwalbert et al.   BIOSYSTEMS ENGINEERING

Predicting spatial patterns of within-field crop yield variability

(2018) Bernardo Maestrini et al.   FIELD CROPS RESEARCH

Do crop sensors promote improved nitrogen management in grain crops?

(2018) A.F. Colaço et al.   FIELD CROPS RESEARCH

Characterization of the spatial variability of surface topography and moisture content and its influence on potato crop yield

(2018) Khalid A. Al-Gaadi et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A Comparison of Regression Techniques for Estimation of Above-Ground Winter Wheat Biomass Using Near-Surface Spectroscopy

(2018) Jibo Yue et al.   Remote Sensing

Machine Learning in Agriculture: A Review

(2018) Konstantinos Liakos et al.   SENSORS

Assessing the Variability of Corn and Soybean Yields in Central Iowa Using High Spatiotemporal Resolution Multi-Satellite Imagery

(2018) Feng Gao et al.   Remote Sensing

Exploring the Potential of High Resolution WorldView-3 Imagery for Estimating Yield of Mango

(2018) Muhammad Rahman et al.   Remote Sensing

Using spatio-temporal fusion of Landsat-8 and MODIS data to derive phenology, biomass and yield estimates for corn and soybean

(2018) Chunhua Liao et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Estimation of corn yield using multi-temporal optical and radar satellite data and artificial neural networks

(2017) R. Fieuzal et al.   International Journal of Applied Earth Observation and Geoinformation

Satellite-based assessment of yield variation and its determinants in smallholder African systems

(2017) Marshall Burke et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models

(2017) Huanhuan Yuan et al.   Remote Sensing

Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications

(2017) Jinru Xue et al.   Journal of Sensors

Prediction of Potato Crop Yield Using Precision Agriculture Techniques

(2016) Khalid A. Al-Gaadi et al.   PLoS One

Mid-Season High-Resolution Satellite Imagery for Forecasting Site-Specific Corn Yield

(2016) Nahuel Peralta et al.   Remote Sensing

Assessing the Spatial Variability of Alfalfa Yield Using Satellite Imagery and Ground-Based Data

(2016) Ahmed G. Kayad et al.   PLoS One

Random Forests for Global and Regional Crop Yield Predictions

(2016) Jig Han Jeong et al.   PLoS One

Assessment of RapidEye vegetation indices for estimation of leaf area index and biomass in corn and soybean crops

(2015) Angela Kross et al.   International Journal of Applied Earth Observation and Geoinformation

Estimation of maize yield by using a process-based model and remote sensing data in the Northeast China Plain

(2015) Fengmei Yao et al.   PHYSICS AND CHEMISTRY OF THE EARTH

A scalable satellite-based crop yield mapper

(2015) David B. Lobell et al.   REMOTE SENSING OF ENVIRONMENT

Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data

(2015) Iftikhar Ali et al.   Remote Sensing

Toward a Satellite-Based System of Sugarcane Yield Estimation and Forecasting in Smallholder Farming Conditions: A Case Study on Reunion Island

(2014) Julien Morel et al.   Remote Sensing

Testing Remote Sensing Approaches for Assessing Yield Variability among Maize Fields

(2013) Adam M. Sibley et al.   AGRONOMY JOURNAL

Using hyperspectral vegetation indices to estimate the fraction of photosynthetically active radiation absorbed by corn canopies

(2013) Changwei Tan et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Assimilating Remotely Sensed Information with the WheatGrow Model Based on the Ensemble Square Root Filter forImproving Regional Wheat Yield Forecasts

(2013) Yan Huang et al.   PLANT PRODUCTION SCIENCE

MODIS-based corn grain yield estimation model incorporating crop phenology information

(2013) Toshihiro Sakamoto et al.   REMOTE SENSING OF ENVIRONMENT

Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps

(2012) David J. Mulla   BIOSYSTEMS ENGINEERING

The use of satellite data for crop yield gap analysis

(2012) David B. Lobell   FIELD CROPS RESEARCH

Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

(2012) M. Drusch et al.   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

Yield forecasting for wheat and corn in Hungary by satellite remote sensing

(2011) P. Bognár et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Estimating daily gross primary production of maize based only on MODIS WDRVI and shortwave radiation data

(2011) Toshihiro Sakamoto et al.   REMOTE SENSING OF ENVIRONMENT

Application of Vegetation Indices for Agricultural Crop Yield Prediction Using Neural Network Techniques

(2010) Sudhanshu Sekhar Panda et al.   Remote Sensing

Correlation between potato yield and MODIS‐derived vegetation indices

(2009) S. K. Bala et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING