Forecasting vegetation indices from spatio-temporal remotely sensed data using deep learning-based approaches: A systematic literature review
Over the last few years, Deep learning (DL) approaches have been shown to outperform
state-of-the-art machine learning (ML) techniques in many applications such as vegetation …
state-of-the-art machine learning (ML) techniques in many applications such as vegetation …
Explainability in graph neural networks: A taxonomic survey
Deep learning methods are achieving ever-increasing performance on many artificial
intelligence tasks. A major limitation of deep models is that they are not amenable to …
intelligence tasks. A major limitation of deep models is that they are not amenable to …
Contextual Target-Specific Stance Detection on Twitter: Dataset and Method
To understand different aspects of online human behaviors, eg, the public stances toward
various social and political issues, contextual target-specific stance detection has become …
various social and political issues, contextual target-specific stance detection has become …
3D Convolutional Neural Network with Dimension Reduction and Metric Learning for Crop Yield Prediction Based on Remote Sensing Data
N Wang, Z Ma, P Huo, X Liu, Z He, K Lu - Applied Sciences, 2023 - mdpi.com
Crop yield prediction is essential for tasks like determining the optimal profile of crops to be
planted, allocating government resources, effectively planning and preparing for aid …
planted, allocating government resources, effectively planning and preparing for aid …
Development of Convolutional Neural Network Model for Crop Yield Prediction
Smart cultivation may help improve water management and food production, minimizing the
adverse consequences of increased human growth. Crop yield prediction is primarily …
adverse consequences of increased human growth. Crop yield prediction is primarily …
Predicting Crop Yield Using 3D Convolutional Neural Network with Dimension Reduction and Metric Learning
N Wang, Z Ma, P Huo, X Liu - 2023 IEEE 6th International …, 2023 - ieeexplore.ieee.org
Crop yield prediction using remote sensing data during the growing season is helpful to farm
planning and management, which has received more and more attention. Information …
planning and management, which has received more and more attention. Information …