RICE TYPE AND QUALITY DEDUCTION USING ONTOLOGICAL MODEL

Abstract

The word wide crops are grown in the vast and diverse realm of agriculture to support life on Earth. Rice as a gluten diet, especially in Asia. The rice sector is vital to the international economy the rice as a gluten diet in Asia. In addition to being a vital source of nutrition, it plays a crucial part in the economic stability of many countries, and diseases that destroy rice plants have a huge impact on large portions of the world's population. In this situation, it is even more important to ensure the sort and quality of rice. In increasing the precision and efficacy fresh rice quality and type deduction, you can guarantee sure the proper kind is grain reaches the correct market, cutting down on waste and raising general efficiency in the supply chain. In the domain of agricultural image processing, it is investigated in the literature, the quality of rice crop is not considered as important up to the perspective. Five type of rice apply five classifier Logistic Regression accuracy 78.45, Support Vector Classifier accuracy 91.82, K- Nearest Neighbours accuracy 93.47, Random Forest accuracy 99.21 and Decision Tree accuracy 99.82 in rice data set.