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A Microclimate based Crop Recommender System for Precision Agriculture

by Al Mustarik, Md. Tawhid Sultan, Md. Mahidul Islam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 3
Year of Publication: 2021
Authors: Al Mustarik, Md. Tawhid Sultan, Md. Mahidul Islam
10.5120/ijca2021921309

Al Mustarik, Md. Tawhid Sultan, Md. Mahidul Islam . A Microclimate based Crop Recommender System for Precision Agriculture. International Journal of Computer Applications. 183, 3 ( May 2021), 41-46. DOI=10.5120/ijca2021921309

@article{ 10.5120/ijca2021921309,
author = { Al Mustarik, Md. Tawhid Sultan, Md. Mahidul Islam },
title = { A Microclimate based Crop Recommender System for Precision Agriculture },
journal = { International Journal of Computer Applications },
issue_date = { May 2021 },
volume = { 183 },
number = { 3 },
month = { May },
year = { 2021 },
issn = { 0975-8887 },
pages = { 41-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number3/31908-2021921309/ },
doi = { 10.5120/ijca2021921309 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:15:46.321471+05:30
%A Al Mustarik
%A Md. Tawhid Sultan
%A Md. Mahidul Islam
%T A Microclimate based Crop Recommender System for Precision Agriculture
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 3
%P 41-46
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Agriculture is not only necessary for producing food but also provides the raw material for other industries, like the fashion industry, dairy industry, sugar industries, etc. Agricultural production is one of the most effective ways to support a country's economy. In this paper, it has been tried to figure out predicting crop production using microclimate data. While doing so, the IoT system has been used here to make this research more efficient and accurate. In this paper, Using IoT devices and machine learning techniques, a crop recommendation model has been proposed. A cloud server-based system has been built to store the machine learning model and a database of previous data readings. This crop recommendation model is beneficial for farmers as well as for researchers. Django Framework has been used to create a web application that shows the predicted results to the farmers based on the machine learning algorithm. And the environment, where the introduction of such a system will reduce farmer risk, save money and time, and reduce the waste of agricultural commodities.

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Index Terms

Computer Science
Information Sciences

Keywords

Microclimate & Precision agriculture Regression Analysis Crop recommendation.

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