FOOD GRAIN PREDICION is a Significant Activity for Global Decision-MAKING in the AgricultuRe. s decide when and hold to cultivate []. In this bituation, it is ever essential to forecast the quantity of crapsProduced across indecently. To accept, Multiple ForeCasting Models WEEERED to Choose the Most Appropriate and ANTICIPATE FUTURE CROP O. UTPUT VALUES. An Accurate Crop Production Estimate Serves as the CornerStone for ITS AGRICULTURAL COMMODIES Marketing Policy DeCisions. s essential inFarm Planning and Management, DOMESTIC FOOD PRODUCTION, International Food Trade, Habitat Preservice, and Other Fields []. AS A Result, The Primary Goal of This Work I s to prive an adequate model for foresting food quality in india.For Crop Yield ForeCasting: Machine Learning Algorithms and Modeling Techniques are often UnderValued in DEFING AGRICULAL PRODUCE. A Land of a Growing Ion Undoubtedly Requires Optimized Output from Agriculture. Incorpocting the Latest Composition Technology in Agriculture is the only to survive. OS et al.[] Demonstrated How Agri-Technology Domain and Machine Learning ProgramS Benefit Farmers’ DECISIONG CROP, LIVESTOCK, WATER, and SOIL ManagementKolkata Wealth Management. ARI et al. [] have Attempted to Develop a Crop advisor to consider the effect of the most influential climate ChangeParameters on Crop Yields in Madhya Pradesh. Paul and Sinha [] Forecasted WHEAT YIELD CONCERNING Weather Variables in the Kanpur District of Uttar Pradesh humidIndore Investment. amtric and non-paraletric testsBangalore Investment. Turmeric yield was similaly forecasted on climate parameters using a data set for 20 Years []. In Another Study Performed by Kandiannan Et Al. yield and rainfall, Evaperation Wind Speed, MINIMUM TEMPERATURE, and Humidity. Gandhi and ARMSTRONG [] in Their Study Examine Between Climate Factors and Rice Crop S for the Kharif Season in India USING A Historical Data Set of Agriculture. Likewise, Woodhouse [] Also Found TechNologicalOptions for the Productivity Revolution in Africa. With Technolog, Environmental IMPACT IS Also An Important Dimension to Consider. Ingaryan et al. [] Talks About Precision Agriculture and IMPROVEMENT in YIELD PRODUACTIONOTH Proper Nitrogen Management. The Future Demands Sustainable andOptimized Crop MANAGEMENT While Minimizing Environmental Harm. Machine Learning Algorithms and Remote Sensing Technology. Ding to [], Machine Learning is a reliable technology for analyzing crice predict considering annual rainfall, wpi to product a logical conclusion.Random Forest Ensembled (RFE) Learning and DeCision Tree Regressor Wee Compared, and RFE WAS FOUND to have a Higher Accuracy. P YIELD PREDICTION AS Reflecting by Studies ConDucting by Gandhi and ARMSTRONG [] and Sujatha and Isakki [].
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