Aims & Scope

Bioresource: From Innovation to Intelligence (BII) is an international, interdisciplinary journal that aims to advance the innovative bioresource technologies and the integration of bioresource technologies with artificial intelligence (AI) and big data. The journal focuses on exploring innovative and intelligent solutions for the development, utilization, and management of bioresources. It is dedicated to becoming a vital academic platform for students, researchers, engineers, and industry professionals in the field of bioresources. By publishing high-quality research articles, reviews, case studies, and technical reports, the journal seeks to promote knowledge dissemination and technological progress in this area. It is published quarterly online by Scilight Press.

Main Research Areas

1. Bioresource Feedstocks and Artificial Intelligence

• Development and application of innovative technologies and/or AI algorithms for the assessment, monitoring, and management of bioresources, such as using machine learning models to predict biomass yields.
• Innovative and/or AI-based modeling and optimization of bioresource systems, such as supply chain optimization for biomass.
• Utilization of innovative and/or big data analytics to uncover hidden values in bioresource data, providing decision support for sustainable bioresource utilization.

2. Bioenergy and Intelligent Technologies

• Production, modeling, and economic analysis of liquid, gaseous, and solid biofuels from biomass through thermochemical conversions, including combustion, pyrolysis, gasification, and hydrothermal treatments, with or without AI.
• Intelligent integration and management of bioenergy systems, including energy storage and smart grid integration, to ensure stable and reliable energy supply.

3. Bioprocesses and Intelligent Bio-products

• Development of novel bio-products, such as bioplastics, biomaterials, and bio-pharmaceuticals.
• Intelligent control and optimization of bio-processes, such as biocatalysis and fermentation, to improve the efficiency and quality of bio-product production.
• Life cycle assessment (LCA) and environmental impact evaluation of bioresource systems.

4. Sustainable Utilization of Bioresources and Environmental Protection

• Application of biotechnology for the treatment of agricultural and industrial wastes, developing efficient bioconversion processes for waste-to-resource utilization.
• Intelligent technology applications in environmental protection, such as automated monitoring and optimization of biological wastewater treatment systems, and intelligent decision support for pollution control.
• Smart assessment and management of ecosystem services, using remote sensing, GIS, and AI technologies to evaluate the impact of bioresources on ecosystems and formulate sustainable management strategies.