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Published in:

Volume 8 Issue 2
February-2021
eISSN: 2349-5162

Unique Identifier

JETIR2102185

Page Number

1539-1545

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Title

CROPS YIELD PREDICTION AND EFFICIENT USE OF FERTILIZERS USING MACHINE LEARNING

ISSN

2349-5162

Cite This Article

"CROPS YIELD PREDICTION AND EFFICIENT USE OF FERTILIZERS USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 2, page no.1539-1545, February-2021, Available :http://www.jetir.org/papers/JETIR2102185.pdf

Abstract

India being an agriculture country, its economy predominantly depends on agriculture yield growth and agroindustry products. Data Mining is an emerging research field in crop yield analysis. Yield prediction is a very important issue in agricultural. Any farmer is interested in knowing how much yield he is about to expect. Analyse the various related attributes like location, pH value from which alkalinity of the soil is determined. Along with it, percentage of nutrients like Nitrogen (N), Phosphorous (P), and Potassium (K) Location is used along with the use of third-party applications like APIs for weather and temperature, type of soil, nutrient value of the soil in that region, amount of rainfall in the region, soil composition can be determined. All these attributes of data will be analysed, train the data with various suitable machine learning algorithms for creating a model. The system comes with a model to be precise and accurate in predicting crop yield and deliver the end user with proper recommendations about required fertilizer ratio based on atmospheric and soil parameters of the land which enhance to increase the crop yield and increase farmer revenue.

Key Words

Crop,Yield,Prediction,Soil,Python,Nutral values,Weather.

Cite This Article

"CROPS YIELD PREDICTION AND EFFICIENT USE OF FERTILIZERS USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 2, page no. pp1539-1545, February-2021, Available at : http://www.jetir.org/papers/JETIR2102185.pdf

Publication Details

Published Paper ID: JETIR2102185
Registration ID: 306309
Published In: Volume 8 | Issue 2 | Year February-2021
DOI (Digital Object Identifier):
Page No: 1539-1545
ISSN Number: 2349-5162

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Cite This Article

"CROPS YIELD PREDICTION AND EFFICIENT USE OF FERTILIZERS USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 2, page no. pp1539-1545, February-2021, Available at : http://www.jetir.org/papers/JETIR2102185.pdf




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