• Pramila Tripathi
• A. K. Shukla

To recommend the fertilizer required for pearl millet plant nutrition using static and machine learning approaches has been studied. Recommended dose of fertilizers for pearl millet is reported 60:30:30 kg N: P2O5: K2O ha-1. Half quantity of N and full quantity of P and K are applied as basal by broad casting and the remaining half of N is applied after 20-25 days of sowing. Fertilizers recommendation is also influenced by climatic factors. The addition of S, Mn and Zn is the ratio 20:10:2.5 kg ha-1 improves the yield of pearl millet. The sustainable production of crop requires the knowledge of an economically optimal fertilizer rate (EOFR). Alternatively machine learning model maybe developed to predict the EOFR for pearl millet as the various soil physical, chemical parameters and climatic factors have an effect on the fertilizers rate. A machine learning based model using intelligent algorithms would help in obtaining the EOFR for particular site following any one of the approach viz., multiple linear regression, ridge regression, support vector machine, random forest, extreme gradient boosting. Interaction among the EOFR and the soil and climatic parameters can be both linear and nonlinear to develop the prediction equation and compare their accuracies.

Recommendation of fertilizers for pearl millet using statistical and machine learning approaches

"Recommendation of fertilizers for pearl millet using statistical and machine learning approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.919-930, April-2020, Available :http://www.jetir.org/papers/JETIR2004624.pdf

"Recommendation of fertilizers for pearl millet using statistical and machine learning approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp919-930, April-2020, Available at : http://www.jetir.org/papers/JETIR2004624.pdf