Work

Power Efficient Non-Mechanical Weather Station: Harnessing TinyML for Rainfall Classification and Environmental Sensing

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Adaptive Science and Technology (ICAST)

DOI: 10.1109/icast61769.2024.10856468

Authors: Dennis Agyemanh Nana Gookyi, Fortunatus Aabangbio Wulnye, Roger Kwao Ahiadormey, Michael Wilson, Yaw Twum Barimah, Paul Danquah

Institutions: Institute for Scientific and Technological Information, Council for Scientific and Industrial Research, Kwame Nkrumah University of Science and Technology

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Industry, innovation and infrastructure, Zero hunger, Climate action

Open Access status: closed

Funder: Ministry of Education

OpenAlex ID: W4406983401

FWCI: 0.751

Cites: 7

Cited by: 1

Related to: 10