About the paper
| Title |
Proposal of a System for Monitoring Perennial Plants Based on Artificial Intelligence |
| Book |
ICIST 2024 Proceedings |
| Book |
ICIST 2024 Proceedings |
| Pages |
266-277 |
| Abstract: Precision agriculture, which involves the use of information systems
in agriculture, is becoming increasingly popular as it helps ensure optimal crop
yields while maintaining plant health and protection. Our aim is to address the
need for a comprehensive monitoring system for perennial plantations by developing a software solution that processes images and provides actionable insights into plant health and growth. The proposed system is an idea for a software solution based on artificial intelligence. In order to generate information
about plants, a system using object detection and image segmentation approaches is proposed. Ultimately, our goal is to create a system that empowers
farmers and agricultural professionals to make data-driven decisions about plantation management, leading to improved crop yields and sustainability. |
Full citation
Grujev, M.,
Mihajlović, V.,
Rančić, D.,
Milosavljević, A.
Proposal of a System for Monitoring Perennial Plants Based on Artificial Intelligence. In:
Zdravković, M.,
Trajanović, M.,
Filipović, N.,
Konjović, Z.
(Eds.)
ICIST 2024 Proceedings, pp.266-277, 2024
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