Sunflower Growth Stages

The Drone-Based Agricultural Growth Stages Dataset is a meticulously curated collection of 12,800 high-resolution images designed to capture the growth stages of crops in a 30-acre field in Tekirdağ / Köseilyas, Turkey. Captured using a DJI Phantom 3 drone, this dataset offers invaluable insights into plant development from sprouting to harvest, providing an essential resource for agricultural research and deep learning model development.

Dataset Overview

Image Collection Process

• Field Details: 30-acre field planted on April 30, 2020, and harvested on August 31, 2020.
• Drone Model: DJI Phantom 3.
• Capture Details: Images were taken over 43 days at intervals of 2-3 days, during various times of the day.
• Resolution: Each image has a resolution of 2250 x 4000 pixels.

Image Data Summary

• Original Images: 6,465 high-resolution images.
• Augmented Images: Original images were divided into 6 parts, creating 38,790 images at 1333 x 1125 pixels.
• Dataset Classes: A total of 12,800 images distributed across 8 growth stages.
• Final Resolution: Images were resized to 224 x 224 pixels for compatibility with Convolutional Neural Networks (CNNs).

This dataset is sourced from Kaggle.