An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China

An IPSO-BP neural network for estimating wheat yield using two remotely sensed variables in the Guanzhong Plain, PR China

(2020) Huiren Tian et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt

(2020) Aleksandra Wolanin et al.   Environmental Research Letters

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

(2020) Tao Lin et al.   Environmental Research Letters

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

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

LSTM Neural Network Based Forecasting Model for Wheat Production in Pakistan

(2019) Sajjad Haider et al.   Agronomy-Basel

Estimation of yield and quality of legume and grass mixtures using partial least squares and support vector machine analysis of spectral data

(2019) Zhenjiang Zhou et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

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

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

Maize yield estimation in West Africa from crop process-induced combinations of multi-domain remote sensing indices

(2019) Louise Leroux et al.   EUROPEAN JOURNAL OF AGRONOMY

Short and mid-term sea surface temperature prediction using time-series satellite data and LSTM-AdaBoost combination approach

(2019) Changjiang Xiao et al.   REMOTE SENSING OF ENVIRONMENT

County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

(2019) Jie Sun et al.   SENSORS

Soybean yield prediction from UAV using multimodal data fusion and deep learning

(2019) Maitiniyazi Maimaitijiang et al.   REMOTE SENSING OF ENVIRONMENT

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield

(2018) Sami Khanal et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Improving regional winter wheat yield estimation through assimilation of phenology and leaf area index from remote sensing data

(2018) Yi Chen et al.   EUROPEAN JOURNAL OF AGRONOMY

Satellite-based assessment of yield variation and its determinants in smallholder African systems

(2017) Marshall Burke et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

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

Crop Monitoring Using Vegetation and Thermal Indices for Yield Estimates: Case Study of a Rainfed Cereal in Semi-Arid West Africa

(2016) Louise Leroux et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring

(2016) Manuel Campos-Taberner et al.   REMOTE SENSING OF ENVIRONMENT

Assessment of maize growth and yield using crop models under present and future climate in southwestern Ethiopia

(2015) A. Araya et al.   AGRICULTURAL AND FOREST METEOROLOGY

Improving winter wheat yield estimation by assimilation of the leaf area index from Landsat TM and MODIS data into the WOFOST model

(2015) Jianxi Huang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Greater Sensitivity to Drought Accompanies Maize Yield Increase in the U.S. Midwest

(2014) D. B. Lobell et al.   SCIENCE

Evaluation of two evapotranspiration approaches simulated with the CSM–CERES–Maize model under different irrigation strategies and the impact on maize growth, development and soil moisture content for semi-arid conditions

(2013) J. Anothai et al.   AGRICULTURAL AND FOREST METEOROLOGY

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

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

Heat stress in temperate and tropical maize hybrids: Differences in crop growth, biomass partitioning and reserves use

(2012) Juan I. Rattalino Edreira et al.   FIELD CROPS RESEARCH

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

Corn‐yield estimation through assimilation of remotely sensed data into the CSM‐CERES‐Maize model

(2008) Hongliang Fang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Using the vegetation temperature condition index for time series drought occurrence monitoring in the Guanzhong Plain, PR China

(2008) W. Sun et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING