Real-time prediction of corn yield from single-phase SAR and optical remote sensing data using deep learning

No abstract is available for this paper.

• Publication year

  2025

• Venue

  European Journal of Agronomy

• Publication date

  2025-10-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/j.eja.2025.127819
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Research on Remote Sensing Monitoring of Key Indicators of Corn Growth Based on Double Red Edges

  2025cited by this paper
• Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models

  2024cited by this paper
• Subfield-level crop yield mapping without ground truth data: A scale transfer framework

  2024cited by this paper
• Yield estimation from SAR data using patch-based deep learning and machine learning techniques

  2024cited by this paper
• Coupling field monitoring with crop growth modelling provides detailed insights on yield gaps at field level: A case study on ware potato production in the Netherlands

  2024cited by this paper
• Corn Land Extraction Based on Integrating Optical and SAR Remote Sensing Images

  2023cited by this paper
• A deep learning framework combining CNN and GRU for improving wheat yield estimates using time series remotely sensed multi-variables

  2023cited by this paper
• Winter-time cover crop identification: A remote sensing-based methodological framework for new and rapid data generation

  2023cited by this paper
• County-level corn yield prediction using supervised machine learning

  2023cited by this paper
• Improved Gaussian mixture model to map the flooded crops of VV and VH polarization data

  2023cited by this paper
• A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering

  2023cited by this paper
• Crop Yield Prediction Using Multi Sensors Remote Sensing (Review Article)

  2022cited by this paper
• Water extraction from SAR images based on improved geodesic active contour

  2022cited by this paper
• Field-Scale Soil Moisture Estimation Using Sentinel-1 GRD SAR Data

  2022cited by this paper
• Crop yield prediction from multi-spectral, multi-temporal remotely sensed imagery using recurrent 3D convolutional neural networks

  2021cited by this paper
• Integration of a Crop Growth Model and Deep Learning Methods to Improve Satellite-Based Yield Estimation of Winter Wheat in Henan Province, China

  2021cited by this paper
• Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach

  2021cited by this paper
• Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning

  2020cited by this paper
• DeepCropNet: a deep spatial-temporal learning framework for county-level corn yield estimation

  2020cited by this paper
• Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods

  2020cited by this paper
• Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine

  2020cited by this paper
• Crop yield prediction using machine learning: A systematic literature review

  2020cited by this paper
• Multilevel Deep Learning Network for County-Level Corn Yield Estimation in the U.S. Corn Belt

  2020cited by this paper
• Remote Sensing Based Rapid Assessment of Flood Crop Damage Using Novel Disaster Vegetation Damage Index (DVDI)

  2020cited by this paper
• Machine learning for large-scale crop yield forecasting

  2020cited by this paper
• 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

  2019cited by this paper
• Paddy acreage mapping and yield prediction using sentinel-based optical and SAR data in Sahibganj district, Jharkhand (India)

  2019cited by this paper
• LSTM Neural Network Based Forecasting Model for Wheat Production in Pakistan

  2019cited by this paper
• Design of an integrated climatic assessment indicator (ICAI) for wheat production: A case study in Jiangsu Province, China

  2019cited by this paper
• Toward building a transparent statistical model for improving crop yield prediction: Modeling rainfed corn in the U.S

  2019cited by this paper
• An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning

  2019cited by this paper
• Crop yield prediction with deep convolutional neural networks

  2019cited by this paper
• County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

  2019cited by this paper
• A CNN-RNN Framework for Crop Yield Prediction

  2019cited by this paper
• Estimating smallholder crops production at village level from Sentinel-2 time series in Mali's cotton belt

  2018cited by this paper
• Structural and Spectral Analysis of Cereal Canopy Reflectance and Reflectance Anisotropy

  2018cited by this paper
• Estimation of Corn Yield by Assimilating SAR and Optical Time Series Into a Simplified Agro-Meteorological Model: From Diagnostic to Forecast

  2018cited by this paper
• Google Earth Engine: Planetary-scale geospatial analysis for everyone

  2017cited by this paper
• Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data

  2017cited by this paper
• Modeling Microwave Emission from Short Vegetation-Covered Surfaces

  2015cited by this paper
• Rapid Damage Assessment of Rice Crop After Large-Scale Flood in the Cambodian Floodplain Using Temporal Spatial Data

  2015cited by this paper
• GMES Sentinel-1 mission

  2012cited by this paper
• Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program

  2011cited by this paper
• On the Soil Roughness Parameterization Problem in Soil Moisture Retrieval of Bare Surfaces from Synthetic Aperture Radar

  2008cited by this paper
• Prediction of crop yield, water consumption and water use efficiency with a SVAT-crop growth model using remotely sensed data on the North China Plain

  2005cited by this paper
• Gaussian Processes in Machine Learning

  2003cited by this paper
• A PARSIMONIOUS, MULTIPLE-REGRESSION MODEL OF WHEAT YIELD RESPONSE TO ENVIRONMENT

  2000cited by this paper
• Shape of the red edge as vitality indicator for plants

  1990cited by this paper

• WDCGAN-GSMR: A more accurate framework for small-sample radar signal modulation recognition

  2026cites this paper