![]() The accuracy of the Function Fitting Artificial Neural Network classifier (FFANN) is 96.1%, which is higher than that of any of the other classifiers currently used in the rainfall database. Based on this evaluation, it is determined that DT provides the highest level of accuracy. The outcomes of several different methodologies, including accuracy, error, recall, F-measure, RMSE, and MAE, are used to evaluate the performance metrics. In this study, the relevant characteristics required to predict precipitation were identified and the ML approach utilised is an innovative classification method that can be used determine whether the predicted rainfall will be regular or heavy. The impact of drought on crop yield can be difficult to forecast and there is a need for careful preparation regarding crop choice, planting window, harvest motive, and storage space. For this reason, agricultural forecasting should make use of these methods. While engineers have developed analysis systems whose performance relies on several connected factors, these methods are seldom used despite their potential for precise crop yield forecasts. Accurate crop yield predictions are crucial and would undoubtedly assist farmers. This study was conducted to test the efficacy of several machine learning (ML) approaches for forecasting rainfall, utilising southern Saudi Arabia’s historical weather data obtained from the live database that comprises various meteorological data variables. This study, which used DM approaches, achieved greater accuracy in RP than conventional statistical methods. The classification methods of data mining (DM) approaches that estimate rainfall both numerically and categorically can be used to achieve RP. To this end, a variety of methodologies have been used to determine the rainfall intensity in Saudi Arabia. ![]() Weather prediction may be used to calculate and analyse the behaviour of weather with unique features and to determine rainfall patterns at an exact locale. In the twentieth century, RP was the most methodically and technically complicated issue worldwide. The prediction of heavy rain and the provision of information regarding natural catastrophes are two of the most challenging factors in this regard. The proper use of water assets, the successful collection of water, and the successful pre-growth of water construction all depend on an accurate assessment of rainfall. ![]() Saving Earth Britannica Presents Earth’s To-Do List for the 21st Century.Abstract: Every farmer requires access to rainfall prediction (RP) to continue their exploration of harvest yield. Meteorological Conversions and Calculations.Britannica Beyond We’ve created a new place where questions are at the center of learning.100 Women Britannica celebrates the centennial of the Nineteenth Amendment, highlighting suffragists and history-making politicians.COVID-19 Portal While this global health crisis continues to evolve, it can be useful to look to past pandemics to better understand how to respond today.Student Portal Britannica is the ultimate student resource for key school subjects like history, government, literature, and more.Demystified Videos In Demystified, Britannica has all the answers to your burning questions.This Time in History In these videos, find out what happened this month (or any month!) in history. ![]() ![]() We also have more printable chart you may. You can also use the Celsius to Fahrenheit chart or use a Celsius to Fahrenheit conversion calculator. #WTFact Videos In #WTFact Britannica shares some of the most bizarre facts we can find. To convert temperatures in degrees Celsius to Fahrenheit, you just do the opposite which is multiplied by 1.8 (or 9/5) and add 32.Britannica Classics Check out these retro videos from Encyclopedia Britannica’s archives.Britannica Explains In these videos, Britannica explains a variety of topics and answers frequently asked questions. ![]()
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