TY - GEN
T1 - Precision Agriculture
T2 - 2nd International Conference on Computing, Communications, and Cyber-Security, IC4S 2020
AU - Pandya, Sharnil
AU - Mistry, Mayur
AU - Parikh, Pramit
AU - Shah, Kashish
AU - Gaharwar, Gauravsingh
AU - Kotecha, Ketan
AU - Sur, Anirban
PY - 2021/5/24
Y1 - 2021/5/24
N2 - IoT-enabled modern agricultural methodologies can change the current agriculture practices by automating the entire process of agriculture from crop management, water irrigation to making better decisions based on real-time monitoring of environmental conditions, soil conditions and landscape conditions. In the recent times, technology-enabled precision agriculture solutions have enabled a paradigm shift from static and manual agriculture methodologies to automated precision-oriented agricultural methodologies using the latest technologies such as Internet of agricultural things, AI-based agricultural analytics, cloud computing and WSN-enabled crop monitoring and control. In the proposed review work, a rigorous and detailed assessment has been conducted to identify the research gaps and analyze the latest technology-enabled PA methodologies and applications. Furthermore, in the proposed review work, we have presented IoAT-based PA model, which is comprised of five layers. The first layer depicts the physical layer devices, second layer describes security protocols, third layer highlights efficient data management practices, fourth layer provides effective irrigation models, and the final layer discusses technology-enabled water management services. In the end, along with future directions, we have represented categorical analysis of the conducted review work in the form of graphical results along with gained experiences and learnt lessons.
AB - IoT-enabled modern agricultural methodologies can change the current agriculture practices by automating the entire process of agriculture from crop management, water irrigation to making better decisions based on real-time monitoring of environmental conditions, soil conditions and landscape conditions. In the recent times, technology-enabled precision agriculture solutions have enabled a paradigm shift from static and manual agriculture methodologies to automated precision-oriented agricultural methodologies using the latest technologies such as Internet of agricultural things, AI-based agricultural analytics, cloud computing and WSN-enabled crop monitoring and control. In the proposed review work, a rigorous and detailed assessment has been conducted to identify the research gaps and analyze the latest technology-enabled PA methodologies and applications. Furthermore, in the proposed review work, we have presented IoAT-based PA model, which is comprised of five layers. The first layer depicts the physical layer devices, second layer describes security protocols, third layer highlights efficient data management practices, fourth layer provides effective irrigation models, and the final layer discusses technology-enabled water management services. In the end, along with future directions, we have represented categorical analysis of the conducted review work in the form of graphical results along with gained experiences and learnt lessons.
KW - Crops irrigation
KW - Internet of agricultural things (IoAT)
KW - Precision agriculture (PA)
UR - http://www.scopus.com/inward/record.url?scp=85111324356&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-0733-2_12
DO - 10.1007/978-981-16-0733-2_12
M3 - Conference contribution
AN - SCOPUS:85111324356
SN - 9789811607325
T3 - Lecture Notes in Networks and Systems
SP - 163
EP - 181
BT - Proceedings of 2nd International Conference on Computing, Communications, and Cyber-Security - IC4S 2020
A2 - Singh, Pradeep Kumar
A2 - Wierzchoń, Sławomir T.
A2 - Tanwar, Sudeep
A2 - Ganzha, Maria
A2 - Rodrigues, Joel J. P. C.
PB - Springer
CY - Singapore
Y2 - 3 October 2020 through 4 October 2020
ER -
