Related references
Note: Only part of the references are listed.Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt
Mohsen Shahhosseini et al.
SCIENTIFIC REPORTS (2021)
Wheat yield predictions at a county and field scale with deep learning, machine learning, and google earth engine
Juan Cao et al.
EUROPEAN JOURNAL OF AGRONOMY (2021)
Modelling wheat yield with antecedent information, satellite and climate data using machine learning methods in Mexico
Diego Gomez et al.
AGRICULTURAL AND FOREST METEOROLOGY (2021)
Prediction of Multi-Scalar Standardized Precipitation Index by Using Artificial Intelligence and Regression Models
Anurag Malik et al.
CLIMATE (2021)
Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt
Aleksandra Wolanin et al.
ENVIRONMENTAL RESEARCH LETTERS (2020)
Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods
Elisa Kamir et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique
Puyu Feng et al.
AGRICULTURAL AND FOREST METEOROLOGY (2020)
A CNN-RNN Framework for Crop Yield Prediction
Saeed Khaki et al.
FRONTIERS IN PLANT SCIENCE (2020)
The Hidden Costs of Nighttime Warming on Yields
Walid Sadok et al.
TRENDS IN PLANT SCIENCE (2020)
Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-Producing Regions of China with Deep Learning Approaches
Xinlei Wang et al.
REMOTE SENSING (2020)
Predicting county-scale maize yields with publicly available data
Zehui Jiang et al.
SCIENTIFIC REPORTS (2020)
Modeling long-term dynamics of crop evapotranspiration using deep learning in a semi-arid environment
Ahmed Elbeltagi et al.
AGRICULTURAL WATER MANAGEMENT (2020)
Random Forests for Global and Regional Crop Yield Predictions
Jig Han Jeong et al.
PLOS ONE (2016)
Agrometeorological analysis and prediction of wheat yield at the departmental level in France
David Gouache et al.
AGRICULTURAL AND FOREST METEOROLOGY (2015)
The shifting influence of drought and heat stress for crops in northeast Australia
David B. Lobell et al.
GLOBAL CHANGE BIOLOGY (2015)
Sensitivity of wheat yield to temperature changes with regional sunlight characteristics in eastern Hokkaido
Seiji Shimoda et al.
INTERNATIONAL JOURNAL OF CLIMATOLOGY (2015)
Rising temperatures reduce global wheat production
S. Asseng et al.
NATURE CLIMATE CHANGE (2015)
Influence of Higher Growing-season Temperatures on Yield Components of Winter Wheat (Triticum aestivum L.)
Zenta Nishio et al.
CROP SCIENCE (2013)
A global water scarcity assessment under Shared Socio-economic Pathways - Part 2: Water availability and scarcity
N. Hanasaki et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2013)
Comments on a report of regression-based evidence for impact of recent climate change on winter wheat yields
Jeffrey W. White
AGRICULTURE ECOSYSTEMS & ENVIRONMENT (2009)
Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach
R. Alvarez
EUROPEAN JOURNAL OF AGRONOMY (2009)
Physiological mechanisms contributing to the increased water-use efficiency in winter wheat under deficit irrigation
QW Xue et al.
JOURNAL OF PLANT PHYSIOLOGY (2006)
Nitrogen accumulation and translocation for winter wheat under different irrigation regimes
ZZ Xu et al.
JOURNAL OF AGRONOMY AND CROP SCIENCE (2005)
An artificial neural network model for estimating crop yields using remotely sensed information
D Jiang et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2004)
Share Paper
