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Table 4 Multiple linear regression equation for different crop yield

From: Analysis of agriculture data using data mining techniques: application of big data

Crop Yield forecast equation
Cotton Yield = (7.149372) + (−0.14468)pH + (−0.00131) Nitrogen + (−0.00405) Potassium + (−0.00405) Water Required
Groundnut Yield = (2.79115) + (0.029217) Temperature + (5.78e–05) Rainfall + (−0.05681) pH + (−0.00127) Phosphorus + (−0.00492) Water Required
Jowar Yield = (−1.62694) + (−5.35e–02) Temperature + (0.051512) pH + (−0.00113) Potassium + (0.01685436) Water Required
Rice Yield = (−0.18503) + (0.041593) Temperature + (0.172042) pH + (−8.27e–04) Nitrogen + (−4.28e–03) Phosphorus + (−0.00264) Potassium + (9.15e–04) Water Required
Wheat Yield = (112) + (−4.14e–02) Temperature + (1.34e–04) Rainfall + (0.079153) pH + (−1.31e–03) Nitrogen + (−0.00167) Potassium + (−0.28125) Water Required