Geographically and temporally weighted neural network for winter wheat yield prediction

A geographically weighted artificial neural network

(2021) Julian Hagenauer et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach

(2021) Yuchi Ma et al.   REMOTE SENSING OF ENVIRONMENT

Prediction of Winter Wheat Yield Based on Multi-Source Data and Machine Learning in China

(2020) Jichong Han et al.   Remote Sensing

Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil

(2020) Raí A. Schwalbert et al.   AGRICULTURAL AND FOREST METEOROLOGY

Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest

(2020) Yanghui Kang et al.   Environmental Research Letters

Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States

(2020) Yumiao Wang et al.   Remote Sensing

Determining paddy field spatiotemporal distribution and temperature influence using remote sensing in Songnen Plain, Northeastern China

(2020) Qin You   Arabian Journal of Geosciences

Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.5

(2020) Tongwen Li et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Yield Estimation of Paddy Rice Based on Satellite Imagery: Comparison of Global and Local Regression Models

(2019) Yi-Shiang Shiu et al.   Remote Sensing

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

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

Increased atmospheric vapor pressure deficit reduces global vegetation growth

(2019) Wenping Yuan et al.   Science Advances

Improving corn yield prediction across the US Corn Belt by replacing air temperature with daily MODIS land surface temperature

(2019) Timothy Pede et al.   AGRICULTURAL AND FOREST METEOROLOGY

Incorporating environmental variables into a MODIS-based crop yield estimation method for United States corn and soybeans through the use of a random forest regression algorithm

(2019) Toshihiro Sakamoto   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Statistical modelling of crop yield in Central Europe using climate data and remote sensing vegetation indices

(2018) Anikó Kern et al.   AGRICULTURAL AND FOREST METEOROLOGY

Importance of cover crops in alleviating negative effects of reduced soil tillage and promoting soil fertility in a winter wheat cropping system

(2018) Lucie Büchi et al.   AGRICULTURE ECOSYSTEMS & ENVIRONMENT

An improved geographically weighted regression model for PM 2.5 concentration estimation in large areas

(2018) Liang Zhai et al.   ATMOSPHERIC ENVIRONMENT

Modeling the seed yield of Ajowan ( Trachyspermum ammi L.) using artificial neural network and multiple linear regression models

(2018) Mohsen Niazian et al.   INDUSTRIAL CROPS AND PRODUCTS

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

(2018) Andrew Crane-Droesch   Environmental Research Letters

Adaptive local parametric estimation of crop yields: implications for crop insurance rate making

(2017) Zhiwei Shen et al.   EUROPEAN REVIEW OF AGRICULTURAL ECONOMICS

Estimating ground-level PM 2.5 concentrations in Beijing using a satellite-based geographically and temporally weighted regression model

(2017) Yuanxi Guo et al.   REMOTE SENSING OF ENVIRONMENT

Estimation of air dew point temperature using computational intelligence schemes

(2016) Alireza Baghban et al.   APPLIED THERMAL ENGINEERING

A Primer on Neural Network Models for Natural Language Processing

(2016) Yoav Goldberg   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Diverse relationships between forest growth and the Normalized Difference Vegetation Index at a global scale

(2016) Sergio M. Vicente-Serrano et al.   REMOTE SENSING OF ENVIRONMENT

Using geographically weighted regression to explore the spatially heterogeneous spread of bovine tuberculosis in England and Wales

(2016) Lucy A. Brunton et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Using geographically weighted regression kriging for crop yield mapping in West Africa

(2015) Muhammad Imran et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Effect of warming temperatures on US wheat yields

(2015) Jesse Tack et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

The contribution of wheat to human diet and health

(2015) Peter R. Shewry et al.   Food and Energy Security

A comparative analysis of multitemporal MODIS EVI and NDVI data for large-scale rice yield estimation

(2014) N.T. Son et al.   AGRICULTURAL AND FOREST METEOROLOGY

Food security: the challenge of increasing wheat yield and the importance of not compromising food safety

(2014) T. Curtis et al.   ANNALS OF APPLIED BIOLOGY

A geographically and temporally weighted autoregressive model with application to housing prices

(2014) Bo Wu et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Maize yield forecasting by linear regression and artificial neural networks in Jilin, China

(2014) K. MATSUMURA et al.   JOURNAL OF AGRICULTURAL SCIENCE

Application of the Savitzky-Golay Filter to Land Cover Classification Using Temporal MODIS Vegetation Indices

(2014) So-Ra Kim et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

A satellite-based geographically weighted regression model for regional PM2.5 estimation over the Pearl River Delta region in China

(2014) Weize Song et al.   REMOTE SENSING OF ENVIRONMENT

Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics

(2013) Douglas K. Bolton et al.   AGRICULTURAL AND FOREST METEOROLOGY

Modeling Crop Yield in West-African Rainfed Agriculture Using Global and Local Spatial Regression

(2013) Muhammad Imran et al.   AGRONOMY JOURNAL

An assessment of pre- and within-season remotely sensed variables for forecasting corn and soybean yields in the United States

(2013) David M. Johnson   REMOTE SENSING OF ENVIRONMENT

Winter wheat area estimation from MODIS-EVI time series data using the Crop Proportion Phenology Index

(2012) Yaozhong Pan et al.   REMOTE SENSING OF ENVIRONMENT

Are regional climate models relevant for crop yield prediction in West Africa?

(2011) Pascal Oettli et al.   Environmental Research Letters

Natural language processing: an introduction

(2011) Prakash M Nadkarni et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Using Geographically Weighted Regression (GWR) to Explore Spatial Varying Relationships of Immature Mosquitoes and Human Densities with the Incidence of Dengue

(2011) Chia-Hsien Lin et al.   International Journal of Environmental Research and Public Health

Impact of temperature increase on the yield of winter wheat at low and high altitudes in semiarid northwestern China

(2010) Guoju Xiao et al.   AGRICULTURAL WATER MANAGEMENT

Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices

(2010) Bo Huang et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data

(2010) I. Becker-Reshef et al.   REMOTE SENSING OF ENVIRONMENT

Dew is a major factor affecting vegetation water use efficiency rather than a source of water in the eastern Mediterranean area

(2010) Jiftah Ben-Asher et al.   WATER RESOURCES RESEARCH

Sorghum yield prediction from seasonal rainfall forecasts in Burkina Faso

(2008) Ashok Mishra et al.   AGRICULTURAL AND FOREST METEOROLOGY

Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China

(2008) Jianqiang Ren et al.   International Journal of Applied Earth Observation and Geoinformation

Suitability of relative humidity as an estimator of leaf wetness duration

(2007) Paulo C. Sentelhas et al.   AGRICULTURAL AND FOREST METEOROLOGY

Empirical regression models using NDVI, rainfall and temperature data for the early prediction of wheat grain yields in Morocco

(2007) Riad Balaghi et al.   International Journal of Applied Earth Observation and Geoinformation