Abstract
The agricultural sector requires technological solutions more than ever to increase efficiency and ensure sustainable production. By integrating technology into agriculture through smart monitoring methods, the goal is to digitize the growth process of olive trees while reducing incorrect and inefficient resource usage and replacing labor-intensive traditional farming methods.This study focuses on preventing inefficiencies and irregularities in agriculture while also facilitating farmers' work and enhancing productivity through smart farming applications. By utilizing digital technologies such as artificial intelligence and remote sensing, the growth processes of olive trees can be observed in detail, monitored, and used to make future predictions.High-tech equipment, including drones, thermal, optical, and hyperspectral cameras, will be used to collect data. This data will be analyzed to detect diseases and various anomalies and then shared with landowners and farmers through a user-friendly web platform. In this way, farmers will be able to make more informed decisions and achieve more efficient and sustainable harvests.
| Translated title of the contribution | Smart Monitoring of Olive Fields |
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| Original language | Turkish |
| Title of host publication | 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331566555 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Istanbul, Turkey Duration: 25 Jun 2025 → 28 Jun 2025 |
Publication series
| Name | 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings |
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Conference
| Conference | 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 |
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| Country/Territory | Turkey |
| City | Istanbul |
| Period | 25/06/25 → 28/06/25 |
Bibliographical note
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