Advances of Machine Learning in Climate Change and Resource Management: Forecasting and Conservative Services
Dr. Nawin Raj
Dr Reema Prakash
Special Issue Information
Dear Colleagues,
The impact of climate change on the environment and natural resources has been a global concern and the trend continues to increase with the severity and its extremes. All these change factors with the climate change will significantly affect water resources, agriculture, forest resources, sea level rise, ocean temperature, rainfall and other climate parameters. These impacts and changes are inter-related, and their assessment and forecasting are an important task for researchers. Climate conditions and increased climate variability is among the most important questions and a global challenge. Furthermore, investigations of these different processes and their interactions under climate change are extremely necessary to gain an understanding for the extent of impact and change. This information is fundamental for predicting the future of natural and agricultural resources and for developing sustainable resource management strategies. In addition to this, prediction and future trend will allow better decision making with mitigation and adaptation strategies. Advancement in Artificial Intelligence methodology has provided n efficient platform for prediction and trend forecasting of climate change in recent times. Particularly, machine learning techniques such as deep learning has high capability of analyzing and learning from historical datasets for reliable predictions.
This Special Issue aims to gather high-quality papers emphasizing climate change effects on climate change, environmental impacts, oceanography, sea level rise, crop yield, forest resources, wetlands, and water resources. Submitted contributions will go through a peer-review process performed by independent reviewers. Original case studies and review papers are invited for publication in this Special Issue.
Dr. Nawin Raj
Dr Reema Prakash
Guest Editors