ISSN 2394-5125
 

Research Article 


Predicting Yield of Crop and Detecting Fertilizer Efficiency

Mahantesh Mathapathi,Kavita K Patil, Manjushree G, Kavitha, Namratha N M.

Abstract
Agriculture has one of the largest contributions to the GDP of our country. But still, the farmers don't get the worth price of the
crops. It mostly happens due to improper irrigation or inappropriate crop selection, or also sometimes the crop yield is less than
that of expected. World inhabitants are constantly growing, and it is needed to have satisfactory crop manufacture. India's
existence a cultivation nation; its budget primarily rests on cultivation profit growth and agro industry goods. Observing crop
progress and yield estimate are actually main for the commercial growth of a homeland. Yield estimation is the right important
issue in agriculture. The estimation of crop harvest has a non stop influence on nation-wide and world-wide economies and
illustration an important part in the nutrition administration and nutrition security. Any farmer is involved in significant just how
greatly yield he is approximately to believe. This estimate will help the farmers to choose appropriate crops for their farm
according to temperature, humidity, soil PH, season, and fertilizer. Along through it, sections of nutrients similarly Nitrogen(N),
Phosphorous(P), and Potassium(K) and locality and zone of the crop. All these aspects of records will be considered trained the
records with many appropriate machine-learning algorithms for generating a classic jk model.0The organization approaches with
an ideal to..be accurate and correct..in expecting crop..harvest and distribute the..end consumer..with appropriate referencesal
most necessary manure fraction founded on full of atmosphere and..soil factors of..the plot..which boost..to rise the..crop harvest
and rise farmer income.

Key words: yield prediction, fertilizer, Support Vector Machine (SVM)algorithm, regression algorithm.


 
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How to Cite this Article
Pubmed Style

Mahantesh Mathapathi,Kavita K Patil, Manjushree G, Kavitha, Namratha N M. Predicting Yield of Crop and Detecting Fertilizer Efficiency. JCR. 2020; 7(17): 1247-1252. doi:10.31838/jcr.07.17.159


Web Style

Mahantesh Mathapathi,Kavita K Patil, Manjushree G, Kavitha, Namratha N M. Predicting Yield of Crop and Detecting Fertilizer Efficiency. http://www.jcreview.com/?mno=28647 [Access: April 10, 2021]. doi:10.31838/jcr.07.17.159


AMA (American Medical Association) Style

Mahantesh Mathapathi,Kavita K Patil, Manjushree G, Kavitha, Namratha N M. Predicting Yield of Crop and Detecting Fertilizer Efficiency. JCR. 2020; 7(17): 1247-1252. doi:10.31838/jcr.07.17.159



Vancouver/ICMJE Style

Mahantesh Mathapathi,Kavita K Patil, Manjushree G, Kavitha, Namratha N M. Predicting Yield of Crop and Detecting Fertilizer Efficiency. JCR. (2020), [cited April 10, 2021]; 7(17): 1247-1252. doi:10.31838/jcr.07.17.159



Harvard Style

Mahantesh Mathapathi,Kavita K Patil, Manjushree G, Kavitha, Namratha N M (2020) Predicting Yield of Crop and Detecting Fertilizer Efficiency. JCR, 7 (17), 1247-1252. doi:10.31838/jcr.07.17.159



Turabian Style

Mahantesh Mathapathi,Kavita K Patil, Manjushree G, Kavitha, Namratha N M. 2020. Predicting Yield of Crop and Detecting Fertilizer Efficiency. Journal of Critical Reviews, 7 (17), 1247-1252. doi:10.31838/jcr.07.17.159



Chicago Style

Mahantesh Mathapathi,Kavita K Patil, Manjushree G, Kavitha, Namratha N M. "Predicting Yield of Crop and Detecting Fertilizer Efficiency." Journal of Critical Reviews 7 (2020), 1247-1252. doi:10.31838/jcr.07.17.159



MLA (The Modern Language Association) Style

Mahantesh Mathapathi,Kavita K Patil, Manjushree G, Kavitha, Namratha N M. "Predicting Yield of Crop and Detecting Fertilizer Efficiency." Journal of Critical Reviews 7.17 (2020), 1247-1252. Print. doi:10.31838/jcr.07.17.159



APA (American Psychological Association) Style

Mahantesh Mathapathi,Kavita K Patil, Manjushree G, Kavitha, Namratha N M (2020) Predicting Yield of Crop and Detecting Fertilizer Efficiency. Journal of Critical Reviews, 7 (17), 1247-1252. doi:10.31838/jcr.07.17.159