Smart Agricultural Monitoring and Automation System for Farms

Wiafe Owusu Banahene, Aboagye Isaac Adjaye, Essuman Aaron Kweku, Hazel Sagoe Fredrick, Osei Gifty, Kuubore Marcellinus, Danso Mensah Stephen, Sowah Nii Longdon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2024 IEEE 9th International Conference on Adaptive Science and Technology, ICAST 2024
PublisherIEEE Computer Society
ISBN (Electronic)9798350385403
DOIs
Publication statusPublished - 2024
Event9th IEEE International Conference on Adaptive Science and Technology, ICAST 2024 - Accra
Duration: 24 Oct 202426 Oct 2024

Publication series

NameIEEE International Conference on Adaptive Science and Technology, ICAST
ISSN (Print)2326-9413
ISSN (Electronic)2326-9448

Conference

Conference9th IEEE International Conference on Adaptive Science and Technology, ICAST 2024
Country/TerritoryGhana
CityAccra
Period24/10/2426/10/24

Keywords

  • Agriculture
  • Artificial Intelligence
  • Internet of Things
  • Sensors
  • Web and Mobile application

Fingerprint

Dive into the research topics of 'Smart Agricultural Monitoring and Automation System for Farms'. Together they form a unique fingerprint.

Cite this