Abstract
Big data cloud application most important data storage and data analysis environment. The big data weather and crop forecasting is a new research agenda in modern agricultural structure and huge data evaluation. This is a challenging research area, as manual inspection of agricultural data can lead to human error. This proposed system's main determination is to improve crop yield prediction accuracy from agricultural big data and design and develop effective programs for data classification. Preprocessing is then used to analyze the collected data and identify the absent values for the attribute. Non-existent values are filled with corresponding new values by checking previous and past results. The fuzzy strategy is the right dimension, reducing the strategy to emphasize any of the self-organizing contours. After reducing the measurement, the reduced dimension information is used to predict climate as a reasonable outcome.An advanced methodology, Fuzzy Enumeration Crop Prediction Algorithm (FECPA) employed for accurate crop yield prediction. Therefore, they can improve the productivity of various sources?(no clarity), data analysis, predictive analysis, crop production, and FECPA with the help of increasing farmers developing a system of integrated data in long trip profit margins. This method shows the final results of experiments that improve the accuracy of yield prediction.
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