Volume 27, Issue 2, September 2019, Pages 499–507
Tolulope Tola AWOFOLAJU1, Kingsley OGBEIDE2, and Segun ADEBAYO3
1 Department of Electrical and Electronic Engineering, Osun State University, P.M.B 4494, Osogbo, Osun State, Nigeria
2 Department, of Electrical and Electronic Engineering, University of Benin, P.M.B 1154, Benin City, Edo State, Nigeria
3 Department of Computer Science and Information Technology, Bowen University, P.M.B 284 Iwo, Osun State, Nigeria
Original language: English
Copyright © 2019 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Agriculture was a major exchange earns before the discovery of crude oil. In the western part of the country cocoa was a major crop produced and exported, in the northern part, it is groundnut with several pyramids of groundnuts bag on display while in the eastern part of the country, we had palm oil and kernel. In recent time due to fall in the price of crude oil in the international market, which had negatively affected the country’s economy, the country is looking at diversifying its economy from a sole crude oil based one to a multidimensional based one. Smart automation of precision farming makes farming less tedious with greater results. The purpose of the research in this paper is to give a review of previous works on smart automation, discuss some of the factors responsible for optimum growth of fish farming and the architecture of the power logging unit. With the knowledge imparted by this paper, the set up a smart automation for fish farming can be easily achieved.
Author Keywords: Agriculture, precision farming, internet of things, technology, sensors.
Tolulope Tola AWOFOLAJU1, Kingsley OGBEIDE2, and Segun ADEBAYO3
1 Department of Electrical and Electronic Engineering, Osun State University, P.M.B 4494, Osogbo, Osun State, Nigeria
2 Department, of Electrical and Electronic Engineering, University of Benin, P.M.B 1154, Benin City, Edo State, Nigeria
3 Department of Computer Science and Information Technology, Bowen University, P.M.B 284 Iwo, Osun State, Nigeria
Original language: English
Copyright © 2019 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Agriculture was a major exchange earns before the discovery of crude oil. In the western part of the country cocoa was a major crop produced and exported, in the northern part, it is groundnut with several pyramids of groundnuts bag on display while in the eastern part of the country, we had palm oil and kernel. In recent time due to fall in the price of crude oil in the international market, which had negatively affected the country’s economy, the country is looking at diversifying its economy from a sole crude oil based one to a multidimensional based one. Smart automation of precision farming makes farming less tedious with greater results. The purpose of the research in this paper is to give a review of previous works on smart automation, discuss some of the factors responsible for optimum growth of fish farming and the architecture of the power logging unit. With the knowledge imparted by this paper, the set up a smart automation for fish farming can be easily achieved.
Author Keywords: Agriculture, precision farming, internet of things, technology, sensors.
How to Cite this Article
Tolulope Tola AWOFOLAJU, Kingsley OGBEIDE, and Segun ADEBAYO, “Smart Automation of Precision Fish Farming Using Internet Of Things (IoT),” International Journal of Innovation and Applied Studies, vol. 27, no. 2, pp. 499–507, September 2019.
