Computational Intelligence in Soil and Water Management (SWM)

Scope

Management of natural resources, such as soil and water, is vital to maintaining life on the earth. Monitoring and proactively protecting the quality of soil supports in enhancing its performance such as towards soil fertility or soil mechanics, leading to enhanced agricultural production. However, intensive farming practices, while enhancing agriculture, lead to severe degradation of soil quality in the long term and, release of harmful greenhouse gases such as N20 through use of inorganic fertilizers. Apart from mismanagement of agricultural soil, soil degradation is an ever-growing issue as a result of unmanaged release of pollutants such as emerging contaminants from various industries as well as domestic sources. Similarly, uncontrolled human activities coupled with the introduction of non-native flora and fauna have led to pollution of large water bodies such as River Ganges in India and Lake Victoria in Africa. At the same time mismanagement of water resources is leading to soil erosion, flooding and depletion of ground water levels throughout the world.

Many countries have invested massive public funds in research and technological development as the basis for managing soil and water resources. Both land and terrestrial sensors have been launched in a bid to gather vital data to conserve these precious environmental resources. Computational Intelligence plays a key role in the next generation of environment resource management. Although there are many conferences related to soil and water management around the world, in this special session we will focus on the theoretical and technical aspects of these systems, specifically related to the application of computational intelligence techniques used to address these massive issues.

The aim of this special session in Computational Intelligence towards soil and water management is to gather and focus high quality research papers that advance monitoring, analyzing and forecasting vital parameters of soil and water, provide new insights and nourish new innovation in this growing field by means of advanced Computational Intelligence based techniques. The topics can be but not limited to:

Topics

Water Level Forecasting Using Artificial Intelligence
Monitoring Water Pollution Level Using Artificial Intelligence
Tracking Water and Soil Pollution Sources Using Artificial Intelligence
Ground Water Monitoring Using Sensor Fusion and Data Analytics
Surface Water Quality Mapping Using Deep Learning Techniques
Soil Quality Parameter Monitoring Using Artificial Intelligence
Evapotranspiration monitoring using Artificial Intelligence
Computational Intelligence in Remote Sensing for environmental resource management
Sensor Fusion techniques for environmental resource management
Exploiting data analytics for environmental resource management
Parameter Identification using Artificial Intelligence and Genetic Algorithm