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A Study on Crop Yield Prediction using Machine Learning Techniques

by Kalyani M., Rachana R.S., Bhargavi K., Malashree R., Sindhu S., Praveena K.S.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 24
Year of Publication: 2022
Authors: Kalyani M., Rachana R.S., Bhargavi K., Malashree R., Sindhu S., Praveena K.S.
10.5120/ijca2022922277

Kalyani M., Rachana R.S., Bhargavi K., Malashree R., Sindhu S., Praveena K.S. . A Study on Crop Yield Prediction using Machine Learning Techniques. International Journal of Computer Applications. 184, 24 ( Aug 2022), 5-11. DOI=10.5120/ijca2022922277

@article{ 10.5120/ijca2022922277,
author = { Kalyani M., Rachana R.S., Bhargavi K., Malashree R., Sindhu S., Praveena K.S. },
title = { A Study on Crop Yield Prediction using Machine Learning Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2022 },
volume = { 184 },
number = { 24 },
month = { Aug },
year = { 2022 },
issn = { 0975-8887 },
pages = { 5-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number24/32458-2022922277/ },
doi = { 10.5120/ijca2022922277 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:22:15.854764+05:30
%A Kalyani M.
%A Rachana R.S.
%A Bhargavi K.
%A Malashree R.
%A Sindhu S.
%A Praveena K.S.
%T A Study on Crop Yield Prediction using Machine Learning Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 24
%P 5-11
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Machine learning is a powerful technique for identifying crop yields, also detecting which seeds to sow in the planting time. By studying the agricultural region, the system needs to address agricultural challenges by analyzing the agricultural region based on soil qualities and guiding farmer just on best crop to plant, allowing them to boost productivity and reduce losses. Many techniques were used to classify and predict the best suited crop for the soil. This survey provides the details on the study of different crop yield prediction techniques based on different parameters such as weather data in the past, soil parameters, and agriculture yield of previous year.

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Index Terms

Computer Science
Information Sciences

Keywords

Crop Yield Machine learning LSTM KNN SVM Random Forest

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