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Abstract: Data Mining is the maximum plausible method of the prevailing virtual international for reading mass of records units to gain left out relationship. The approach used for the evaluation of statistical records over a time frame is the time collection evaluation. This method is clinical and dependable in forecasting occasions to observe over a period. Probability of manufacturing should continually be expected to the close to perfection with the aid of using time collection evaluation. In this work, meals manufacturing is the thrust for prediction. The distinguished type strategies on this take a look at are the SUPPORT VECTOR REGRESSION AND ANFIS. In this project, Multi- Layer Perception MLP are the proposed ensemble version used to task the crop manufacturing over a time frame. This ensemble version is as compared to Svr and anfis strategies. The parameters used one at a time for prediction of output are the accuracy and the type error. The locating yields that Multi-Layer Perception and MLP are agreeable than Svr and anfis for the records set analyzed.