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Intelligent Information Systems for Agriculture Based onVision Technology

Year: 2026

Type: article

Abstract: The traditional approach to agriculture is changing due to rapid advances in technologies such as unmanned aerial vehicles (UAVs), proximal and remote sensors, and the Internet of Things (IoT) [...]

Source: Agronomy

DOI: 10.3390/agronomy16030394

Authors: Arjun Neupane, Tej Bahadur Shahi, Richard Koech

Institutions: Central Queensland University, Queensland University of Technology

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,137

OpenAlex ID: W7128036013

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