UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 9 | Issue 8 | August 2022

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 7 Issue 4
April-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2004624


Registration ID:
321342

Page Number

919-930

Share This Article


Jetir RMS

Title

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

Abstract

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.

Key Words

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

Cite This Article

"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

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"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

Publication Details

Published Paper ID: JETIR2004624
Registration ID: 321342
Published In: Volume 7 | Issue 4 | Year April-2020
DOI (Digital Object Identifier):
Page No: 919-930
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000189

Print This Page

Current Call For Paper

Jetir RMS