Quick Analysis of Quality of Cereals Oil Seed and Pulses

Project Code :TCMAPY529

Abstract

Abstract: Cereal grains vitally important in meeting the nutrient needs of the human population. Cereals are an upscale source of vitamins, minerals, carbohydrates, fats, oils, and protein. Legumes are an important source of protein, dietary fiber, carbohydrates and dietary minerals. Oilseeds are wont to make vegetable oils and biodiesel. Grain quality can have different aims to different people depending upon the sort of grain or seed and its intended use. Our objective is to develop a system to analyse the cereals, oilseeds and pulses. Hence, we develop a technique which is used to classify these cereals, oil seeds and the pulses using the deep learning technique which is a CNN based transfer learning method called Dense Net. Once after the classification, we apply the image processing technique on the classified output.

Keywords: Deep learning, image processing, CNN, Transfer learning, cereals, oil seeds, pulses

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Learning Outcomes

·         Practical exposure to

·         Hardware and software tools

·         Solution providing for real time problems

·         Working with team/individual

·         Work on creative ideas

·         Testing techniques

·         Error correction mechanisms

·         What type of technology versions is used?

·         Working of Tensor Flow

·         Implementation of Deep Learning techniques

·         Working of CNN algorithm

·         Building of model creations

·         Scope of project

·         Applications of the project

·         About Python language

·         About Deep Learning Frameworks

·         Use of Data Science

Demo Video

mail-banner
call-banner
contact-banner
Request Video

Related Projects

Final year projects