TY - GEN
T1 - Smart Agricultural Monitoring and Automation System for Farms
AU - Banahene, Wiafe Owusu
AU - Adjaye, Aboagye Isaac
AU - Kweku, Essuman Aaron
AU - Fredrick, Hazel Sagoe
AU - Gifty, Osei
AU - Marcellinus, Kuubore
AU - Stephen, Danso Mensah
AU - Longdon, Sowah Nii
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Agriculture is practiced in nearly every country in the world. Agricultural practices have changed over the years and this has also changed the way people live. Due to the growth of the world's population, the traditional way of cultivation has now become obsolete. Smart farming is certainly a leading enabler in producing more food with less effort for an increasing world population. The Internet of Things (IoT) is one of the emerging technologies that can play a crucial role in smart agriculture. Our work aimed at utilizing IoT technology, web software, mobile software, and artificial intelligence (AI) to create an integrated monitoring and automation system for farms. This IoT-based agriculture monitoring system made use of wireless sensor networks to collect data from different sensor nodes deployed at various locations on the farm. The data collected was sent to the web and mobile software systems. The IoT-based monitoring system checked parameters such as water level, humidity, moisture level, etc. Data collected were sent via SMS alert to a mobile phone and the Web. Based on the information received, the system will automatically act. This may include turning on the water pump automatically, etc. The system has an AI prediction model to make approximations.
AB - Agriculture is practiced in nearly every country in the world. Agricultural practices have changed over the years and this has also changed the way people live. Due to the growth of the world's population, the traditional way of cultivation has now become obsolete. Smart farming is certainly a leading enabler in producing more food with less effort for an increasing world population. The Internet of Things (IoT) is one of the emerging technologies that can play a crucial role in smart agriculture. Our work aimed at utilizing IoT technology, web software, mobile software, and artificial intelligence (AI) to create an integrated monitoring and automation system for farms. This IoT-based agriculture monitoring system made use of wireless sensor networks to collect data from different sensor nodes deployed at various locations on the farm. The data collected was sent to the web and mobile software systems. The IoT-based monitoring system checked parameters such as water level, humidity, moisture level, etc. Data collected were sent via SMS alert to a mobile phone and the Web. Based on the information received, the system will automatically act. This may include turning on the water pump automatically, etc. The system has an AI prediction model to make approximations.
KW - Agriculture
KW - Artificial Intelligence
KW - Internet of Things
KW - Sensors
KW - Web and Mobile application
UR - http://www.scopus.com/inward/record.url?scp=85217846328&partnerID=8YFLogxK
U2 - 10.1109/ICAST61769.2024.10856461
DO - 10.1109/ICAST61769.2024.10856461
M3 - Conference contribution
AN - SCOPUS:85217846328
T3 - IEEE International Conference on Adaptive Science and Technology, ICAST
BT - Proceedings of the 2024 IEEE 9th International Conference on Adaptive Science and Technology, ICAST 2024
PB - IEEE Computer Society
T2 - 9th IEEE International Conference on Adaptive Science and Technology, ICAST 2024
Y2 - 24 October 2024 through 26 October 2024
ER -