Machine learning approaches can reduce environmental data requirements for regional yield potential simulation

Impacts of Spatial Zonation Schemes on Yield Potential Estimates at the Regional Scale

(2020) Hao Xu et al.   Agronomy-Basel

Impacts of 1.5 °C and 2.0 °C global warming above pre-industrial on potential winter wheat production of China

(2020) Zi Ye et al.   EUROPEAN JOURNAL OF AGRONOMY

Incorporating machine learning with biophysical model can improve the evaluation of climate extremes impacts on wheat yield in south-eastern Australia

(2019) Puyu Feng et al.   AGRICULTURAL AND FOREST METEOROLOGY

Application of Artificial Neural Network modeling for optimization and prediction of essential oil yield in turmeric ( Curcuma longa L.)

(2018) Abdul Akbar et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Modelling crops and cropping systems—Evolving purpose, practice and prospects

(2018) Brian A. Keating et al.   EUROPEAN JOURNAL OF AGRONOMY

Selection of Appropriate Spatial Resolution for the Meteorological Data for Regional Winter Wheat Potential Productivity Simulation in China Based on WheatGrow Model

(2018) Xiaohu Zhang et al.   Agronomy-Basel

Spatio-temporal downscaling of gridded crop model yield estimates based on machine learning

(2018) C. Folberth et al.   AGRICULTURAL AND FOREST METEOROLOGY

Artificial intelligence approach for the prediction of Robusta coffee yield using soil fertility properties

(2018) Louis Kouadio et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Analysis of climate signals in the crop yield record of sub-Saharan Africa

(2017) Alexis L. Hoffman et al.   GLOBAL CHANGE BIOLOGY

Modelling the effects of heat stress on post-heading durations in wheat: A comparison of temperature response routines

(2016) Bing Liu et al.   AGRICULTURAL AND FOREST METEOROLOGY

Accurate prediction of sugarcane yield using a random forest algorithm

(2016) Yvette Everingham et al.   Agronomy for Sustainable Development

Can crop simulation models be used to predict local to regional maize yields and total production in the U.S. Corn Belt?

(2016) Francisco J. Morell et al.   FIELD CROPS RESEARCH

Random Forests for Global and Regional Crop Yield Predictions

(2016) Jig Han Jeong et al.   PLoS One

Emulating maize yields from global gridded crop models using statistical estimates

(2015) Elodie Blanc et al.   AGRICULTURAL AND FOREST METEOROLOGY

A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape

(2015) Kennedy Were et al.   ECOLOGICAL INDICATORS

Probabilistic machine learning and artificial intelligence

(2015) Zoubin Ghahramani   NATURE

Predictive ability of machine learning methods for massive crop yield prediction

(2014) Alberto Gonzalez-Sanchez et al.   SPANISH JOURNAL OF AGRICULTURAL RESEARCH

Exploring the role of environmental variables in shaping patterns of seabed biodiversity composition in regional-scale ecosystems

(2012) C. Roland Pitcher et al.   JOURNAL OF APPLIED ECOLOGY

The effect of temporal aggregation of weather input data on crop growth models’ results

(2011) L.G.J. van Bussel et al.   AGRICULTURAL AND FOREST METEOROLOGY

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

Simulation for response of crop yield to soil moisture and salinity with artificial neural network

(2011) Xiaoqin Dai et al.   FIELD CROPS RESEARCH

The impact of future climate change on West African crop yields: What does the recent literature say?

(2011) Philippe Roudier et al.   GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS

Spatio-temporal prediction of daily temperatures using time-series of MODIS LST images

(2011) Tomislav Hengl et al.   THEORETICAL AND APPLIED CLIMATOLOGY

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

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

Impact of growing season temperature on wheat productivity in China

(2009) Liangzhi You et al.   AGRICULTURAL AND FOREST METEOROLOGY

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

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

A crop model cross calibration for use in regional climate impacts studies

(2008) Wei Xiong et al.   ECOLOGICAL MODELLING

Wheat productivity in the Mediterranean Ebro Valley: Analyzing the gap between attainable and potential yield with a simulation model

(2008) L. Gabriela Abeledo et al.   EUROPEAN JOURNAL OF AGRONOMY

Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach

(2008) R. Alvarez   EUROPEAN JOURNAL OF AGRONOMY

Spatial variation of crop yield response to climate change in East Africa

(2008) Philip K. Thornton et al.   GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS