Data mining is an important research area in computer science. It is a computational process of determining patterns in large data. Image mining is one of important techniques in data mining, which involved in multiple disciplines. Image Classification Refers the tagging the images into a number of predefined sets. It's also includes image preprocessing, feature extraction, object detection, object classification, object segmentation, object classification and many more techniques.

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Traditional approaches to extract useful Keyphrase from a sentence rely heavily on human effort. In this paper, to overcome this challenge, Automatic Keyphrase Extraction algorithm has been used to extract a Keyphrase efficiently that reduces the scope for human errors and saves time. The Machine Learning algorithms detect the Keyphrase from a sentence that the user feeds as an input and sets a reminder using the Keyphrase. RAKE and Textrank algorithms help to extract Keyphrase or important terms of a given text document. RAKE and TextRank techniques applied to find and analyze the best possible way of extracting the Keyphrase efficiently. With slight modifications to the code, the algorithms can be implemented to serve different application domain such as message or threat decoding in military purposes and can be extended to use in speech-to-text translation and sentimental analysis of the data.

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Abstract-Ontologies have played a vital role in the field of agriculture. The agriculture domain is a vast and complex system science and the knowledge of it consists of many concepts and relationships. These difficult concepts and relationships have been modelled using Ontologies in various capacities in different countries. This paper is an exploratory study, presenting a review on the various ontology-based applications developed specifically in the domain of agriculture. It also discusses the various Agriculture Ontologies created by specific developing countries. Finally this paper also summarizes the directions for future work.