2024 International Symposium on Agricultural Engineering and Biology (ISAEB 2024)

Call For Papers



Call For Papers

The Call for Papers (CFP) for the 2024 International Symposium on Agricultural Engineering and Biology (ISAEB 2024) invites researchers, scholars, and professionals to contribute their cutting-edge insights and innovative findings in the field of agricultural engineering and biology.

The topics of interest for submission include, but are not limited to:

◕ Agricultural engineering

· Food science and engineering

· Processing and storage of agricultural and sideline products

· Food science and nutrition engineering

· Food safety and health

· Agricultural economy

· Design out waste

· Regenerate natural systems

· Agricultural wcology

· Land resource management

· Soil and water engineering

◕ Agricultural Information and Electrification

· Computer modeling and statistics for agriculture

· The internet of things and statistical analysis on smart farms

· Parallel and distributed simulation methods for crop monitoring and pest control

· Decision-making with advanced computer modeling and statistical approaches

· Statistical modeling for precision agriculture

· Big data with statistical modeling to enhance agricultural productivity

· Sustainable computer models and innovations for agriculture

· Modeling sensor data to obtain useful information for agriculture

◕ Biology

· Biochemical, cellular, molecular and tissue engineering

· Bioelectrical and neural engineering

· Bioinformatics and computational biology

· Biological data integration and visualization

· Biological data mining and knowledge discovery

· Biological databases and information retrieval

· Biomaterials and biomedical optics

· Biomedical devices, sensors, and artificial organs

· Biomedical engineering

· Biomedical imaging, image processing & visualization

· Biomedical robotics and mechanics

· Biometric and bio-measurement

· Biopharmaceuticals

· Bio-signal processing and analysis

· Biostatistics and stochastic models

· Structural bioinformatics

· Systems biology