Modelling wheat yield with antecedent information, satellite and climate data using machine learning methods in Mexico

Predicting spatial and temporal variability in crop yields: an inter-comparison of machine learning, regression and process-based models

(2020) Guoyong Leng et al.   Environmental Research Letters

Identifying the Contributions of Multi-Source Data for Winter Wheat Yield Prediction in China

(2020) Juan Cao et al.   Remote Sensing

Estimation of Potato Yield Using Satellite Data at a Municipal Level: A Machine Learning Approach

(2020) Pablo Salvador et al.   ISPRS International Journal of Geo-Information

Potato Yield Prediction Using Machine Learning Techniques and Sentinel 2 Data

(2019) Gómez 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

High resolution wheat yield mapping using Sentinel-2

(2019) Merryn L. Hunt et al.   REMOTE SENSING OF ENVIRONMENT

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

(2018) Anna Chlingaryan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Modelling drought-related yield losses in Iberia using remote sensing and multiscalar indices

(2018) Andreia F. S. Ribeiro et al.   THEORETICAL AND APPLIED CLIMATOLOGY

A comparison of global agricultural monitoring systems and current gaps

(2018) Steffen Fritz et al.   AGRICULTURAL SYSTEMS

Early season large-area winter crop mapping using MODIS NDVI data, growing degree days information and a Gaussian mixture model

(2017) Sergii Skakun et al.   REMOTE SENSING OF ENVIRONMENT

Proximal NDVI derived phenology improves in-season predictions of wheat quantity and quality

(2016) Troy S. Magney et al.   AGRICULTURAL AND FOREST METEOROLOGY

Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods

(2016) Michael D. Johnson et al.   AGRICULTURAL AND FOREST METEOROLOGY

Wheat yield prediction using machine learning and advanced sensing techniques

(2016) X.E. Pantazi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity

(2016) D.P. Roy et al.   REMOTE SENSING OF ENVIRONMENT

How good is good enough? Data requirements for reliable crop yield simulations and yield-gap analysis

(2015) Patricio Grassini et al.   FIELD CROPS RESEARCH

Comparison of four EVI-based models for estimating gross primary production of maize and soybean croplands and tallgrass prairie under severe drought

(2015) Jinwei Dong et al.   REMOTE SENSING OF ENVIRONMENT

Comparison between meteorological re-analyses from ERA-Interim and MERRA and measurements of daily solar irradiation at surface

(2015) Alexandre Boilley et al.   RENEWABLE ENERGY

Using classification algorithms for predicting durum wheat yield in the province of Buenos Aires

(2013) José R. Romero et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Recent advances in sensing plant diseases for precision crop protection

(2012) Anne-Katrin Mahlein et al.   EUROPEAN JOURNAL OF PLANT PATHOLOGY

Crop yield forecasting on the Canadian Prairies using MODIS NDVI data

(2011) M.S. Mkhabela et al.   AGRICULTURAL AND FOREST METEOROLOGY

The impact of temperature variability on wheat yields

(2010) SENTHOLD ASSENG et al.   GLOBAL CHANGE BIOLOGY

Linkages among climate change, crop yields and Mexico-US cross-border migration

(2010) S. Feng et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Modelling the impacts of weather and climate variability on crop productivity over a large area: A new super-ensemble-based probabilistic projection

(2009) Fulu Tao et al.   AGRICULTURAL AND FOREST METEOROLOGY

Partial least squares regression as an alternative to current regression methods used in ecology

(2009) Luis M. Carrascal et al.   OIKOS

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