DeepCropNet: a deep spatial-temporal learning framework for county-level corn yield estimation

Toward building a transparent statistical model for improving crop yield prediction: Modeling rainfed corn in the U.S

(2019) Yan Li et al.   FIELD CROPS RESEARCH

Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images

(2019) Qi Yang et al.   FIELD CROPS RESEARCH

Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

(2019) Yaping Cai et al.   AGRICULTURAL AND FOREST METEOROLOGY

A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level

(2019) Hao Jiang et al.   GLOBAL CHANGE BIOLOGY

Methods for interpreting and understanding deep neural networks

(2018) Grégoire Montavon et al.   DIGITAL SIGNAL PROCESSING

Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas

(2018) Jianfeng Zhang et al.   JOURNAL OF HYDROLOGY

Classification of multi-site MR images in the presence of heterogeneity using multi-task learning

(2018) Qiongmin Ma et al.   NeuroImage-Clinical

Machine learning methods for crop yield prediction and climate change impact assessment in agriculture

(2018) Andrew Crane-Droesch   Environmental Research Letters

Comparing and combining process-based crop models and statistical models with some implications for climate change

(2017) Michael J Roberts et al.   Environmental Research Letters

Deep Multitask Learning for Railway Track Inspection

(2017) Xavier Gibert et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Forecasting wheat yield from weather data and MODIS NDVI using Random Forests for Punjab province, Pakistan

(2017) Umer Saeed et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

Similar estimates of temperature impacts on global wheat yield by three independent methods

(2016) Bing Liu et al.   Nature Climate Change

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

Estimating crop yield potential at regional to national scales

(2013) Justin van Wart et al.   FIELD CROPS RESEARCH

Temperatures and the growth and development of maize and rice: a review

(2013) Berta Sánchez et al.   GLOBAL CHANGE BIOLOGY

Yield gap analysis with local to global relevance—A review

(2012) Martin K. van Ittersum et al.   FIELD CROPS RESEARCH

Adaptation of US maize to temperature variations

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

Heat stress effects around flowering on kernel set of temperate and tropical maize hybrids

(2011) J.I. Rattalino Edreira et al.   FIELD CROPS RESEARCH

Climate Trends and Global Crop Production Since 1980

(2011) D. B. Lobell et al.   SCIENCE

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

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

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