Title: Automated irrigation management platform using a wireless sensor network

Biography:

Amine Dahne, PhD, is affiliated with the research laboratory in Industrial Computing and Networks (RIIR),University of Oran 1, Algeria. His main research interest includes wireless sensor networks, their security, routing and management, Intrusion detection, and MAC protocols design issues. He is a reviewer of several journals and participates regularly at professional conferences. He received hid PhD degree in Electronics from the university of sciences and technology of Oran (USTO, Algeria)  

Abstract

Agricultural  sector  is  one of  the  trademarks  of  Algeria’s  economy. Agriculture  plays  a  vital  role  in  the development  of the  country.  But  in  today's  world,  agricultural areas  are  getting  reduced  due  to  laziness  of  mankind  in irrigation.  But  due  to  population  growth  and  overexploitation, the  demand  for  water  is  exceeding  supply.  An  algorithm  was developed with threshold values of temperature and soil moisture (Rawls  and  Turq  formulas)  that  was  programmed  into  a microcontroller-based  gateway  to control  water  quantity. In  this paper,  we  implement  a  platform  for  precision  agriculture  which allows  to  collect  fundamental  physical  phenomena (the  moisture of  the  soil,    air  temperature,  humidity,  water  level,  water  flow, luminous intensity) required for the precision  agriculture,  which will be treated to calculate the need for water needed for optimal irrigation.  Our  platform  consists  of  a  sensor/actuator  node, a desktop  application and a  gateway switches relay  which controls water pump  according to the requirement. Our system is  a good starting  point  for  a  smart  irrigator.  Arduino  (open  source)  is used  in  the  design  of  the  prototype  model  in  making  the  system compact and sustainable.