Machine learning models based on remote and proximal sensing as potential methods for in-season biomass yields prediction in commercial sorghum fields

Ectopic expression of C4 photosynthetic pathway genes improves carbon assimilation and alleviate stress tolerance for future climate change

(2020) Sonam Yadav et al.   PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS

Towards Predictive Modeling of Sorghum Biomass Yields Using Fraction of Absorbed Photosynthetically Active Radiation Derived from Sentinel-2 Satellite Imagery and Supervised Machine Learning Techniques

(2019) Ephrem Habyarimana et al.   Agronomy-Basel

Machine learning algorithm validation with a limited sample size

(2019) Andrius Vabalas et al.   PLoS One

Genomic Selection for Antioxidant Production in a Panel of Sorghum bicolor and S. bicolor × S. halepense Lines

(2019) Habyarimana et al.   Genes

Towards a perennial biomass sorghum crop: A comparative investigation of biomass yields and overwintering of Sorghum bicolor x S. halepense lines relative to long term S. bicolor trials in northern Italy

(2018) Ephrem Habyarimana et al.   BIOMASS & BIOENERGY

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

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

(2018) Muhammad Rahman et al.   Remote Sensing

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

Predicting rice hybrid performance using univariate and multivariate GBLUP models based on North Carolina mating design II

(2016) X Wang et al.   HEREDITY

A comprehensive assessment of the correlations between field crop yields and commonly used MODIS products

(2016) David M. Johnson   International Journal of Applied Earth Observation and Geoinformation

Data Service Platform for Sentinel-2 Surface Reflectance and Value-Added Products: System Use and Examples

(2016) Francesco Vuolo et al.   Remote Sensing

Satellite-based irrigation advisory services: A common tool for different experiences from Europe to Australia

(2015) Francesco Vuolo et al.   AGRICULTURAL WATER MANAGEMENT

The use of satellite data for agriculture drought risk quantification in Ukraine

(2015) Sergii Skakun et al.   Geomatics Natural Hazards & Risk

Fodder Biomass Monitoring in Sahelian Rangelands Using Phenological Metrics from FAPAR Time Series

(2015) Abdoul Diouf et al.   Remote Sensing

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models

(2013) Felix Kogan et al.   International Journal of Applied Earth Observation and Geoinformation

Enhanced Processing of 1-km Spatial Resolution fAPAR Time Series for Sugarcane Yield Forecasting and Monitoring

(2013) Grégory Duveiller et al.   Remote Sensing

Variation in Biomass Composition Components among Forage, Biomass, Sorghum-Sudangrass, and Sweet Sorghum Types

(2012) Thomas R. Stefaniak et al.   CROP SCIENCE

The Influence of Climate Change on Global Crop Productivity

(2012) D. B. Lobell et al.   PLANT PHYSIOLOGY

A time series for monitoring vegetation activity and phenology at 10-daily time steps covering large parts of South America

(2011) Clement Atzberger et al.   International Journal of Digital Earth

Precision agriculture on grassland: Applications, perspectives and constraints

(2008) Jürgen Schellberg et al.   EUROPEAN JOURNAL OF AGRONOMY