DEEP FARM : OLIVE use case Dataset
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https://zenodo.org/doi/10.5281/zenodo.17990379
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This document provides a structured description of the datasets collected within the scope of the project. The aim is to ensure transparency, reproducibility, and proper understanding of the data by the users:
The datasets support research activities related to environmental monitoring and image-based analysis and consist of three main data types:
(i) weather sensor data,
(ii) drone-based imagery, and
Overview of Data Types
Weather Sensor Data
The weather and soil-related data used in this study were obtained from an Agricultural Sensor Station (FilizPro), an IoT-based monitoring system designed for field-levelenvironmental observation. The station provides continuous measurements of key parameters such as soil temperature and soil moisture, as well as weather-related indicators relevant to irrigation management, disease and frost risk assessment, and spraying time optimization.The technical brochure of the sensor station, detailing the device specifications and measured variables, is provided in the same folder for reference (agricultural-sensor-station pdf file).
Format: CSV
File location: Sensor_Data_raw
Temporal resolution: hourly
Coordinate information: 38.45235156772274, 27.198033270322433
The raw sensor files are provided without modification.
Drone Imagery
Aerial images were captured using an unmanned aerial vehicle (UAV) to support field-level observation and analysis. The drone used for image acquisition was the DJI Mavic 3M, manufactured by DJI Enterprise.The technical brochure and user manual of the UAV are provided in the same folder for reference (DJI_Mavic_3M_User_Manual_EN).A total of 11 field visits were conducted at the pilot farm for drone image acquisition. The dates of the visits are listed below:• 25 July 2024• 04 September 2024• 17 April 2025• 18 April 2025• 08 May 2025• 15 May 2025
• 29 May 2025• 16 July 2025• 11 September 2025• 25 September 2025• 12 November 2025
Format: JPG / PNG/TIF/PDF
File location: Drone_Images
Image resolution: [e.g., 4000 × 3000 pixels]
Intended Use & Scope of ReuseThe datasets are intended for research, analysis, and model development within the scope of the project.
Acknowledgment:This dataset was collected by the team at YASAR University as part of the Deep Farm Erasmus+ project.
Access to the dataset is restricted. Interested users may request access via Zenodo for research or educational purposes.
提供机构:
Zenodo
创建时间:
2025-12-20



