Читать книгу Agricultural Informatics - Группа авторов - Страница 19

Principal component analysis is one of the data mining processes that ensures correct forecast by the arrangement and familiarity in data. Monsoon rainfall is important parameter for variable for crop yield. The amount of rainfall varies periodically during monsoons depending upon the region selected for experiments. Rainfall information is considered important area where water storage from rainfall had been carried out, particularly for flood observant methods. Broad range prediction of Indian monsoon rainfall is based on statistical methods. Indian economy is highly impacted by the limited variation in the periodic rainfall. Evaluation of high spatial datasets like temperature of sea surface and rainfall periods is done using weather and water assets analysis that used component derivation method. Prediction of monsoon rainfall in India is obtained using the principal component analysis [4, 28, 29].