Hydroponic Turkish Cucumber data for Nutrient Deficiency Detection
- Citation Author(s):
-
Richa Patel (Dr.Vishwanath Karad MIT World Peace University ,Pune,India)Sankalp Kadam (Dr.Vishwanath Karad MIT World Peace University ,Pune,India)Rupali Kute
(Dr.Vishwanath Karad MIT World Peace University ,Pune,India)
Vinaya Gohokar
(Dr.Vishwanath Karad MIT World Peace University ,Pune,India)
- Submitted by:
- Vinaya Gohokar
- Last updated:
- DOI:
- 10.21227/e4e0-d394
- Data Format:
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Abstract
The dataset consists of images of Turkish cucumber leaves. These images are collected from the Global Hydroponics Plant located in Katraj, Pune. Image acquisition is carried out using three different smartphones with varying camera specifications, ensuring diversity in image resolution and quality.
Instructions:
A total of 1300 images are captured at the hydroponic plant site. After filtering out blurred or incomplete images, 343 high-quality images are selected for training and evaluation. These images are classified into five categories based on observed nutrient conditions: Calcium deficiency, Boron deficiency, Magnesium deficiency, Potassium deficiency, and Healthy.
Funding Agency
Schlumberger India Technology Centre Private Limited Pune
These images are classified into five categories based on observed nutrient conditions: Calcium deficiency, Boron deficiency, Magnesium deficiency, Potassium deficiency, and Healthy.