Original Research
Accepted on 07 Nov 2025
Multiscale Remote Sensing Methods for Monitoring Wetland Ecosystem Dynamics and Crop Development
in Big Data, AI, and the Environment
Frontiers in Environmental Science
- 215 views
Type at least 3 characters
65 articles
Technology and Code
Accepted on 15 Oct 2025
Cumulative probability and Regression analysis of ecosystem disruption by an integrated mechanism of AI with FF-Flood dynamical model
in Big Data, AI, and the Environment
Frontiers in Environmental Science
- 217 views
Original Research
Published on 09 Oct 2025
Deep learning for 3D reconstruction and trajectory prediction of dust and polluted aerosols in educational environments
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1582806
- 1,871 views
Original Research
Published on 23 Sep 2025
Water resource asset assessment and financial decision support based on multi-source remote sensing data
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1557665
- 1,091 views
Original Research
Published on 09 Sep 2025
Multi-pollutant air quality forecasting using bidirectional attention and multi-scale temporal networks
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1623630
- 1,273 views
Original Research
Published on 29 Aug 2025
Analysis of agricultural production efficiency improvement and economic sustainability based on multi-source remote sensing data
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1546643
- 1,516 views
Original Research
Published on 19 Aug 2025
AI-powered approaches for enhancing remote sensing-based water contamination detection in ecological systems
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1612658
- 2,092 views
Original Research
Published on 15 Aug 2025
Sustainable soil organic carbon prediction using machine learning and the ninja optimization algorithm
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1630762
- 1,657 views
Original Research
Published on 08 Aug 2025
Projection and assessment of future droughts in Iowa: developing a machine learning model and an interactive application
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1564670
- 1,481 views
Original Research
Published on 01 Aug 2025
Dynamic climate graph network and adaptive climate action strategy for climate risk assessment and low-carbon policy responses
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1576447
- 1,331 views
Original Research
Published on 10 Jul 2025
How does artificial intelligence enhance carbon productivity?—Mechanism pathways and threshold effects from a multidimensional perspective
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1603633
- 2,464 views
- 2 citations
Original Research
Published on 24 Jun 2025
A hybrid approach to advanced NER techniques for AI-driven water and agricultural resource management
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1558317
- 1,635 views
- 1 citation
Original Research
Published on 13 Jun 2025
Comparative analysis of inflow forecasting using machine learning and statistical techniques: case study of Mangla reservoir and Marala Headworks
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1590346
- 2,222 views
- 1 citation
Original Research
Published on 12 Jun 2025
Deep learning-based object detection for environmental monitoring using big data
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1566224
- 3,519 views
Review
Published on 30 May 2025
Advances in machine learning for the detection and characterization of microplastics in the environment
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1573579
- 10,017 views
- 11 citations
Original Research
Published on 26 May 2025
Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1550745
- 1,754 views
- 1 citation