Winter wheat yield prediction using convolutional neural networks ...

This method was inspired by human brain structure and can learn data pattern from the training dataset and save them as weighted connection of ...

Highlights. •. CNN improves the prediction accuracy of wheat yield with UAV multispectral imagery. •. The heading stage is the best timing for ...

Winter wheat yield prediction using convolutional neural networks ...

This study analyzes the performance of machine learning and deep learning methods for winter wheat yield prediction using an extensive dataset of weather, ...

Improved Yield Prediction of Winter Wheat Using a Novel Two ...

In this work, we propose to further improve the yield prediction task by using Convolutional Neural Networks (CNNs) given their unique ability to exploit the ...

Winter wheat yield prediction using convolutional neural networks ...

It is necessarily to verify the effectiveness of CNN for crop yield prediction. To do this, UAV-based multispectral imagery was acquired in four growth stages, ...

Winter Wheat Yield Prediction Using Convolutional Neural Networks ...

The proposed CNN, evaluated along with other machine learning models for winter wheat yield prediction in Germany, outperformed all other models ...

Winter Wheat Yield Prediction Using Convolutional Neural Networks ...

We propose a convolutional neural network (CNN) which uses the 1-dimentional convolution operation to capture the time dependencies of ...

Predicting Winter Wheat Emergence and Stem Elongation Time ...

We will delve into the ways in which Convolutional Neural Network (CNN) has been implemented for crop management, and the various types of data that have been ...

Winter wheat yield prediction using convolutional neural networks ...

Our proposed CNN model outperformed all other baseline models used for winter wheat yield prediction (7 to 14% lower RMSE, 3 to 15% lower MAE, and 4 to 50% ...

a CNN-BiGRU method with triple attention for winter wheat yield ...

Timely and accurate prediction of winter wheat yield contributes to ensuring national food security. We propose a CNN- bidirectional gated recurrent unit ...

Winter Wheat Yield Prediction Based on the ASTGNN Model ... - MDPI

[65] combined Gaussian Processes (GP) with CNN-LSTM to predict crop yields in California, showing better performance with GP-enhanced CNN-LSTM compared to CNN ...

Winter wheat yield prediction using convolutional neural networks ...

Bolton, Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics, Agric. For. Meteorol., № 173, с. 74

Wheat yield estimation using remote sensing data based ... - Frontiers

(2022) developed a Dual-Stream deep-learning neural network model for improving county-level winter wheat yield estimates in China and achieved an average R2 of ...

Prediction of Wheat Yield by Novel SDC-LSTM Framework - SciELO

This study shows the effectiveness of ma when compared to existing ML models for predicting winter wheat yield in Germany, the proposed CNN outperformed every ...

Winter Wheat Yield Estimation from Multitemporal Remote Sensing ...

This study proposes the use of a convolutional neural network model that can predict the emergence and stem elongation time of winter wheat by identifying ...

Wheat yield estimation using remote sensing data based on ...

(2022) developed a Dual-Stream deep-learning neural network model for improving county-level winter wheat yield estimates in China and achieved ...

Predicting Winter Wheat Emergence and S - ACM Digital Library

winter wheat using a Convolutional Neural Network (CNN). ... Artificial neural networks for rice yield prediction in mountainous regions. ... crop yield prediction ...

Wheat yield predictions at a county and field scale with deep ...

... deep learning (DL) models, including DNN (deep neural networks), 1D-CNN (1D ... yield variations in ... They all performed well for winter wheat yield prediction ...

Winter Wheat Yield Anomaly Prediction Using Sentinel-2 Derived ...

A K Srivastava. Winter wheat yield prediction using convolutional neural networks from environmental and phenological data. Sci Rep , volume ...

Is deeper always better? Evaluating deep learning models for yield ...

Winter wheat yield prediction using convolutional neural networks from environmental and phenological data. Scientific Reports, 12(1), Art ...