Application of artificial neural networks to determine mass and density of soybeans from digital images

• Grant number: 15/20813-1
• Support type: Scholarships in Brazil - Scientific Initiation
• Effective date (Start): December 01, 2015
• Effective date (End): November 30, 2016
• Field of knowledge: Interdisciplinary Subjects
• Principal researcher: Erica Regina Filletti Nascimento
• Grantee: Bruna Gava Floriam
• Home Institution: Instituto de Química (IQ). Universidade Estadual Paulista (UNESP). Campus de Araraquara. Araraquara , SP, Brazil

Abstract

This research project will lead the student to the knowledge of the basic concepts of artificial neural networks, a numerical tool used in many areas. In particular, the aim is to develop a neural model capable of estimating the mass and soybean density from digital images. It is expected that the experience with the research encourages candidate for further study of neural networks in the future, aiming a graduate in our unit, as this tool can be used to solve many problems of chemistry, engineering, physics, biology, and others. (AU)