RETRACTED: A framework for plant growth analysis and simulation using data analysis techniques
International Journal of Intelligent Unmanned Systems
ISSN: 2049-6427
Article publication date: 5 May 2020
Issue publication date: 4 November 2020
Retraction notice
The publishers of International Journal of Intelligent Unmanned Systems wish to retract the article Mani, G., Chidambaranathan, M. and Sagi, S. (2020), “A framework for plant growth analysis and simulation using data analysis techniques”, International Journal of Intelligent Unmanned Systems, Vol. 8 No. 4, pp. 281-292. https://doi.org/10.1108/IJIUS-08-2019-0045
An internal investigation into a series of submissions has uncovered evidence that the peer review process was compromised. As a result of these concerns, the findings of the article cannot be relied upon. This decision has been taken in accordance with Emerald’s publishing ethics and the COPE guidelines on retractions. The authors of this article would like to note that they do not agree with the content of this notice. The publishers of the journal sincerely apologize to the readers.
The publishers of the journal sincerely apologize to the readers
Abstract
Purpose
In India, agriculture is considered as the major source of income for a major sector of people. Our country's GDP (Gross Domestic Product) can increase only if we focus on agriculture and its growth toward global economy. There have been several attempts to improve the agricultural sector since decades.
Design/methodology/approach
This work describes about the design of a device which continuously monitors the plant growth and sends the data to a centralized database, where data is dynamically analyzed based on base references using various machine learning algorithms like regression, gradient descent, clustering etc.
Findings
This paper aims at analyzing the plant growth in of our country and focuses on the improvement of plant growth based on factors such as temperature, air moisture, radiant energy, carbon dioxide levels, soil pH& temperature through the design of a device.
Originality/value
It is anticipated to provide a solution by analyzing the plant growth percentage in different regions over a period of time. Based on the inferences, we will be able to suggest an optimum environment for the plant species to grow best. Various sensors like temperature and humidity sensors, light sensors and pH electrodes can be used in collecting data from the plant environment.
Keywords
Citation
Mani, G., Chidambaranathan, M. and Sagi, S. (2020), "RETRACTED: A framework for plant growth analysis and simulation using data analysis techniques", International Journal of Intelligent Unmanned Systems, Vol. 8 No. 4, pp. 281-292. https://doi.org/10.1108/IJIUS-08-2019-0045
Publisher
:Emerald Publishing Limited
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