Outcome of the 3rd ORKG Curation Grants

This is an overview of the results from the 3rd ORKG Curation Grant Program in 2023. Below you will find an enumeration of all our grantees and their contributions to the ORKG, as well as a link to their final presenation about their best comparison as an ORKG Curation Grantee.

Prateek Tripathi

Comparisons

  1. Estimation of crop and vegetation chlorophyll content using Remote Sensing Methods

  2. Application of Landsat multispectral remote sensing data in estimating chlorophyll concentration and other vegetation properties

  3. Efficiency of Landsat mutispectral data in crop type mapping

  4. Utilizing Multispectral and Hyperspectral Satellite Imagery for Crop Disease Detection

  5. Multispectral Remote Sensing for Crop Classification

  6. Crop mapping and field area estimation from Multispectral Satellite Remote Sensing data

  7. Multi-Sensor Time-Series Multispectral Remote Sensing Data for Crop Management

  8. Potential of Sentinel (1 and 2) satellite data in Crop classification

  9. Assessing and Cultivating Crop Health through Multispectral Remote Sensing

  10. Advancing Agricultural Insights through NDVI Time-Series Analysis in India

  11. Integrative Remote Sensing Solutions for Crop Monitoring and Phenology Assessment using NDVI

  12. Integrated Remote Sensing Approaches for Agriculture: From Downscaling to Drought Monitoring using NDVI

  13. Application of Landsat 8 in Crop Classification and Crop monitoring: An NDVI application

  14. Crop Monitoring using Landsat 8 multispectral satellite data

  15. Application of vegetation indices from Landsat 8 satellite data in Agricultural monitoring

  16. Advanced Remote Sensing Techniques using Landsat TM

  17. Sentinel-1 and Setninel-2 satellite datasets for Crop Classification and Monitoring

  18. Remote Sensing with Sentinel Duo: Agricultural Assessment

  19. Sentinel-2 Data Analysis for Enhanced Crop Classification and Monitoring

  20. Multi-Source Crop Yield Estimation and Classification using Sentinel-2 NDVI

  21. Advanced Image Classification methods for Crop classification for Sentinel and Landsat datasets

  22. Comparative analysis of Sentinel 2

Reviews

Sanju Tiwari

Comparisons

  1. A Comparison on Foundation Large Language Models

  2. Comparison of representative demonstration designing methods of Language Models

  3. Comparison of KG-enhanced LLM methods for the pre-training of KG-enhanced LLM

  4. Comparison of Knowledge Graph enhanced Large Language Models for inferencing

  5. Comparison on Large Language Model augmented Knowledge Graph Query Answering

  6. Large Language Model augmented Knowledge Graph to Text Generation

  7. Large Language Model augmented Knowledge Graph embedding

  8. Exploring Interpretability of Knowledge Graph-enhanced Large Language Models

  9. Exploring Large Language Models in General Science

  10. Exploring methods for injecting knowledge into BERT

  11. Large Language Model-based Knowledge Graph construction methods comparison

  12. Exploring Large Language Models augmented Knowledge Graph Completion Methods

  13. Exploring Large Language Models (LLMs) to address mathematical problems

  14. Exploring Large Language Models for Multilingual Tasks

  15. Exploring the roles of Large Language Models in Medical Assistance

  16. Exploring Language Models in Education

  17. Comparison of Exploring Evaluation Benchmarks for Large Language Models

  18. Exploring LLMs as Enhancer to assist graph-related tasks in literature

  19. Exploring the role of ontologies in Manufacturing and Industry 4.0

  20. Exploring Semantic Interoperability with IoT based Knowledge Graphs in Industry 4.0

  21. Comparison of Survey papers on Semantic IoT to expose the role of Semantic Interoperability

  22. Exploring Digital Twin Models based on Knowledge Graphs

  23. Exploring the role of Semantic IoT in different domains

Reviews