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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


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)

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