Pervasive Computing: Model to Increase Arable Crop Yield through Detection Intrusion System (IDS)

Pervasive Computing: Model to Increase Arable Crop Yield through Detection Intrusion System (IDS)

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Publisher: ADEWUNMI

Authors: Adewunmi ET AL

Publish Year: 2014

Pages: 1

ISBN10: 1578

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Presently, there are several discussions on the food security with increase in yield of arable crop throughout the
world. This article, briefly present research efforts to create digital interfaces to nature, in particular to area of crop production
in agriculture with increase in yield with interest on pervasive computing. The approach goes beyond the use of sensor
networks for environmental monitoring but also by emphasizing the development of a system architecture that detect intruder
(Intrusion Process) which reduce the yield of the farmer at the end of the planting/harvesting period. The objective of the work
is to set a model for setting up the hand held or portable device for increasing the quality and quantity of arable crop. This
process incorporates the use of infrared motion image sensor with security alarm system which can send a noise signal to
intruder on the farm. This model of the portable image sensing device in monitoring or scaring human, rodent, birds and even
pests activities will reduce post harvest loss which will increase the yield on farm. The nano intelligence technology was
proposed to combat and minimize intrusion process that usually leads to low quality and quantity of produce from farm.