AIMC Topic: Conservation of Natural Resources
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Digital brains, green gains: Artificial intelligence's path to sustainable transformation.
Journal of environmental management
Oct 2, 2024
The environmental impacts of artificial intelligence on a global scale remain underexplored. This study utilizes a balanced panel dataset to examine artificial intelligence's complex role in enhancing global green productivity between 2008 and 2019. ...
A machine learning approach to map the potential agroecological complexity in an indigenous community of Colombia.
Journal of environmental management
Sep 28, 2024
Agroecological systems are potential solutions to the environmental challenges of intensive agriculture. Indigenous communities, such as the Kamëntšá Biyá and Kamëntšá Inga from the Sibundoy Valley (SV) in Colombia, have their own ancient agroecologi...
Towards sustainable coastal management: aerial imagery and deep learning for high-resolution mapping.
PeerJ
Sep 23, 2024
The massive arrival of pelagic on the coasts of several countries of the Atlantic Ocean began in 2011 and to date continues to generate social and environmental challenges for the region. Therefore, knowing the distribution and quantity of in the o...
AI-based green technology implementation simulation for achieving carbon neutrality: exploring the role of subsidies and knowledge management.
Environmental science and pollution research international
Sep 17, 2024
This study investigates the role of green technology implementation (GTI) based on artificial intelligence (AI) at the household level to achieve carbon neutrality by addressing gaps in the existing research. The research focuses on understanding how...
Does artificial intelligence affect the ecological footprint? -Evidence from 30 provinces in China.
Journal of environmental management
Sep 12, 2024
Artificial intelligence (AI) technology serves as a powerful tool to optimize energy efficiency and lessen ecological footprints. Using data from 30 provinces in China over the period from 2018 to 2022, this study investigates how regional AI develop...
Predicting Prayagraj's Urbanization Trajectory using CA-ANN Modelling: Population Pressures and Land Use Dynamics.
Journal of environmental management
Sep 11, 2024
Land Use/Land Cover (LULC) dynamics provide a crucial role in the monitoring, planning, and management of resources. They also offer valuable information for developing strategies to balance conservation efforts, resolve conflicts between different l...
Leveraging deep learning and computer vision technologies to enhance management of coastal fisheries in the Pacific region.
Scientific reports
Sep 8, 2024
This paper presents the design and development of a coastal fisheries monitoring system that harnesses artificial intelligence technologies. Application of the system across the Pacific region promises to revolutionize coastal fisheries management. T...
Deep learning models map rapid plant species changes from citizen science and remote sensing data.
Proceedings of the National Academy of Sciences of the United States of America
Sep 5, 2024
Anthropogenic habitat destruction and climate change are reshaping the geographic distribution of plants worldwide. However, we are still unable to map species shifts at high spatial, temporal, and taxonomic resolution. Here, we develop a deep learni...
Addressing pollution challenges for enterprises under diverse extreme climate conditions: artificial intelligence-driven experience and policy support of top Chinese enterprises.
Frontiers in public health
Sep 5, 2024
INTRODUCTION: This study investigates the experiences of leading Chinese companies in environmental conservation under varying extreme climate conditions, focusing on the role of artificial intelligence (AI) and governmental assistance.
Deepdive: Leveraging Pre-trained Deep Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef.
Scientific data
Sep 3, 2024
Understanding and preserving the deep sea ecosystems is paramount for marine conservation efforts. Automated object (deep-sea biota) classification can enable the creation of detailed habitat maps that not only aid in biodiversity assessments but als...
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