Random Forests for Global and Regional Crop Yield Predictions

Variations in the sensitivity of US maize yield to extreme temperatures by region and growth phase

(2015) Ethan E Butler et al.   Environmental Research Letters

Biophysical Constraints to Potential Production Capacity of Potato across the U.S. Eastern Seaboard Region

(2013) Jonathan P. Resop et al.   AGRONOMY JOURNAL

Random Forests modelling for the estimation of mango (Mangifera indica L. cv. Chok Anan) fruit yields under different irrigation regimes

(2012) Shinji Fukuda et al.   AGRICULTURAL WATER MANAGEMENT

Modeling Temperature Responses of Leaf Growth, Development, and Biomass in Maize with MAIZSIM

(2012) Soo-Hyung Kim et al.   AGRONOMY JOURNAL

High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm

(2012) Onisimo Mutanga et al.   International Journal of Applied Earth Observation and Geoinformation

An Overview of the Global Historical Climatology Network-Daily Database

(2012) Matthew J. Menne et al.   JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY

Closing yield gaps through nutrient and water management

(2012) Nathaniel D. Mueller et al.   NATURE

Adaptation of US maize to temperature variations

(2012) Ethan E. Butler et al.   Nature Climate Change

Application of a Random Forest algorithm to predict spatial distribution of the potential yield of Ruditapes philippinarum in the Venice lagoon, Italy

(2011) Simone Vincenzi et al.   ECOLOGICAL MODELLING

Global food demand and the sustainable intensification of agriculture

(2011) D. Tilman et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

On the use of statistical models to predict crop yield responses to climate change

(2010) David B. Lobell et al.   AGRICULTURAL AND FOREST METEOROLOGY

Variable Importance Assessment in Regression: Linear Regression versus Random Forest

(2009) Ulrike Grömping   AMERICAN STATISTICIAN

Comparing niche- and process-based models to reduce prediction uncertainty in species range shifts under climate change

(2009) Xavier Morin et al.   ECOLOGY

Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change

(2009) W. Schlenker et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Evaluation of consensus methods in predictive species distribution modelling

(2008) Mathieu Marmion et al.   DIVERSITY AND DISTRIBUTIONS

Why are agricultural impacts of climate change so uncertain? The importance of temperature relative to precipitation

(2008) David B Lobell et al.   Environmental Research Letters

Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000

(2008) Chad Monfreda et al.   GLOBAL BIOGEOCHEMICAL CYCLES

Machine Learning Methods Without Tears: A Primer for Ecologists

(2008) Julian D. Olden et al.   QUARTERLY REVIEW OF BIOLOGY