author(s)
Snehlata and Vanita Ahlawat

abstract
The study pursued\\r\\nto examine India’s growth trend and\\r\\nfuture projections in the area, production and productivity of floriculture in\\r\\nIndia. The study was based on secondary data. The data was collected from the\\r\\nofficial website of Department of Agriculture & Farmers Welfare, India from\\r\\n2005-06 to 2020-21. Simple Linear Regression Model was used to calculate growth\\r\\ntrend. Simple growth rate was\\r\\ncalculated. The Adequacy of the ` model was resolved by using MAD, RMSE, MAPE,\\r\\nR² and Theil’s Inequality coefficient. Out of three error\\r\\nmeasurements, the small MAPE value (4.45) indicated in production (Cut) 96.55\\r\\npercent accuracy predicted by the independent variable. MAPE gave the best\\r\\naccurate and fair comparison of predictions method. Factors included the area\\r\\nof farming, production of both loose and cut flowers and the overall\\r\\nproductivity. Linear association between the regression components and their\\r\\nrespective independent variables were found. R² calculates indicated\\r\\nthat model enlightened 95% of the variance in Area, 96% of the variance in\\r\\nProduction (Loose), 96% of the variance in Production (Cut), and 82% of the\\r\\nvariance in Productivity. Increasing trend had been found regarding area, production\\r\\nand yield per hectare of flowers cultivation in India over time. The models for\\r\\nArea, Production (Loose and Cut) and Productivity demonstrated a strong match,\\r\\nas seen by the high R² values.