Work

Design and Development of a Non-Destructive Feature-Based Multi-Commodity Moisture Content Sensor System Using Machine Learning and Computer Vision

Year: 2024

Type: conference-paper

Source: International Conference for Advancement in Technology (ICONAT)

DOI: 10.1109/iconat61936.2024.10774723

Authors: Niel Albert Gapusan, Zekier Gumapac, Sarah Mae Quinia, Aaron Francis Reyes, Lowell Santos, Jonalyn D. Castaño, Jeffrey T. Dellosa, Edwin Balila

Institutions: Adventist University of the Philippines, Caraga State University

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4406263784

FWCI: 0.598

Cites:

Cited by: 1

Related to: 10