TY - GEN
T1 - AgriSys
T2 - 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016
AU - Abdullah, Aalaa
AU - Enazi, Shahad Al
AU - Damaj, Issam
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/4/26
Y1 - 2016/4/26
N2 - With new technological advancement in controlled-environment agriculture systems, the level of productivity has significantly increased. Agriculture systems are now more capable, reliable, and provide enhanced productivity. An agriculture environment can range from a single plant in a house, a backyard garden, a small farm, to a large farming facility. These agricultural automated systems will help in managing and maintain safe environment especially the agricultural areas. In this paper, we propose a smart Agriculture System (AgriSys) that can analyze an agriculture environment and intervene to maintain its adequacy. The system deals with general agriculture challenges, such as, temperature, humidity, pH, and nutrient support. In addition, the system deals with desert-specific challenges, such as, dust, infertile sandy soil, constant wind, very low humidity, and the extreme variations in diurnal and seasonal temperatures. The system interventions are mainly intended to maintain the adequacy of the agriculture environment. For a reduced controller complexity, the adoption of fuzzy control is considered. The system implementation relies on state-of-art computer interfacing tools from National Instruments as programmed under LabVIEW.
AB - With new technological advancement in controlled-environment agriculture systems, the level of productivity has significantly increased. Agriculture systems are now more capable, reliable, and provide enhanced productivity. An agriculture environment can range from a single plant in a house, a backyard garden, a small farm, to a large farming facility. These agricultural automated systems will help in managing and maintain safe environment especially the agricultural areas. In this paper, we propose a smart Agriculture System (AgriSys) that can analyze an agriculture environment and intervene to maintain its adequacy. The system deals with general agriculture challenges, such as, temperature, humidity, pH, and nutrient support. In addition, the system deals with desert-specific challenges, such as, dust, infertile sandy soil, constant wind, very low humidity, and the extreme variations in diurnal and seasonal temperatures. The system interventions are mainly intended to maintain the adequacy of the agriculture environment. For a reduced controller complexity, the adoption of fuzzy control is considered. The system implementation relies on state-of-art computer interfacing tools from National Instruments as programmed under LabVIEW.
KW - Agriculture
KW - LabVIEW
KW - Phidget
KW - automation
KW - control
KW - fuzzy logic
UR - http://www.scopus.com/inward/record.url?scp=84973570944&partnerID=8YFLogxK
U2 - 10.1109/ICBDSC.2016.7460386
DO - 10.1109/ICBDSC.2016.7460386
M3 - Conference contribution
AN - SCOPUS:84973570944
T3 - 2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016
SP - 306
EP - 311
BT - 2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 March 2016 through 16 March 2016
ER -