International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 185 - Issue 22 |
Published: Jul 2023 |
Authors: Iyinoluwa Moyosola Oyelade, Olutayo Kehinde Boyinbode, Olumide Adewale |
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Iyinoluwa Moyosola Oyelade, Olutayo Kehinde Boyinbode, Olumide Adewale . A Review of Existing Farmland Intrusion Detection Systems. International Journal of Computer Applications. 185, 22 (Jul 2023), 41-46. DOI=10.5120/ijca2023922969
@article{ 10.5120/ijca2023922969, author = { Iyinoluwa Moyosola Oyelade,Olutayo Kehinde Boyinbode,Olumide Adewale }, title = { A Review of Existing Farmland Intrusion Detection Systems }, journal = { International Journal of Computer Applications }, year = { 2023 }, volume = { 185 }, number = { 22 }, pages = { 41-46 }, doi = { 10.5120/ijca2023922969 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2023 %A Iyinoluwa Moyosola Oyelade %A Olutayo Kehinde Boyinbode %A Olumide Adewale %T A Review of Existing Farmland Intrusion Detection Systems%T %J International Journal of Computer Applications %V 185 %N 22 %P 41-46 %R 10.5120/ijca2023922969 %I Foundation of Computer Science (FCS), NY, USA
Several methods for detecting intruders on a farmland be it humans or animals has evolved overtime from traditional to evolving technologies. Some of the traditional methods incorporate structure block walls around the farm, introducing deterrent plants, electric fences or plants that give out displeasing scents while a few of the evolving technologies include but not limited to wireless sensor networks, deep learning algorithms and internet of things. This paper provides a review of existing farmland intruder detection solutions of different authors with focus on methods ranging from electric fences to Wireless Sensor Networks to Internet of Things (IoT).