Automation in the market has been for decades now in the market. These systems run all through the day but there has not been any design which regards to identifying and classifying objects in specific and giving apt solution to them. Latest technologies like image processing and advanced machine learning mechanisms have become the core of the science and innovations. Our project's idea is a broad concept that integrates various subjects and generates solutions to energy saving, cooling, automation and structural design. To get the desired results, above are the few constraints which play a major role in yielding high productivity from the crops. And besides them, the classification of objects through image processing and machine learning is used instead of the man power to accomplish the target to reduce the amount of hardware used.
This project explores the use of Hadoop framework for MRDS (Mineral Resources data system) data processing and mining in cloud. Cloud computing provides efficient computation and analysis for large data. To improve the performance of system for massive data, Hadoop provides Map Reduce technique. Hadoop has a distributed file system (HDFS) that stores data on the cluster nodes. This project focuses on to provide real time information of mineral resources stored in cloud environment with minimum data processing time. Storing MRDS data in to the cloud ensures the availability and reliability of it.
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