Paper Contents
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 grains are seed and its intended use. Our objective is to develop a system to analyze the cereals, oilseeds and pulses. Hence, we develop a technique which is used to classify these cereals, oilseeds and 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, Oilseeds, Pulses.
Copyright
Copyright © 2025 BANOTH NANDINI. This is an open access article distributed under the Creative Commons Attribution License.
