DOI: 10.5281/zenodo.7936850
title: Hyperspectral imaging dataset of potato plants exposed to water-deficit condition

description: An experiment:



Greenhouse experiment under controlled environmental conditions.

Conducted at the Agricultural Institute of Slovenia (Ljubljana, Slovenia). 

From April to August 2021.

A night/day temperature of 21 °C/15 °C; relative humidity of 60%, and photoperiod of 14h.

28 cultivars of KIS Krka and 18 of KIS Savinja grown from tubers in 5-litre pots.

5 weeks after planting, half plants of both cultivars were randomly assigned to either water-deficient or well-watered groups. 

The water-deficient group was exposed to a limited water irrigation regime, i.e., up to 50% of substrate saturation field capacity. 

The soil moisture was surveilled using tensiometers (14.04.04 Jett Fill tensiometers, Eijkelkamp, Giesbeek Netherlands).

Throughout the duration of the experiment, the matric potential of the soil was maintained within the range -0,01 MPa to -0,025 MPa for well-watered plants, and -0,05 MPa to -0,07 MPa for water-deficient plants. 


 

Hyperspectral imaging: 



Every week after the deficit was introduced.

Total of 5 imaging sessions were performed.

The imaging sessions took place in a dark room, where cameras were positioned at a 3 m distance from the potato plants, together with calibrated halogen lamps.

Hyperspectral images were acquired in the VNIR (visible to near infrared) and SWIR (short-wave infrared) spectral regions. 

Hyspex (Norsk Elektro Optikk, Oslo Norway) push-broom cameras VNIR-1600 (400–988 nm, 160 bands, bandwidth 3.6 nm) and SWIR-384 (950–2500 nm, 288 bands, bandwidth 5.4 nm) were used.


 

Files:





File structure:



        📂 imagings        ├── 📁 imaging-1        │   ├── 📄 0_1_0__KK-K-04_KS-K-05_KK-S-03__imaging-1__1-22_20000_us_2x_HSNR02_ 2022-05-11T104633_corr_rad_f32.hdr        │   ├── 📄 0_1_0__KK-K-04_KS-K-05_KK-S-03__imaging-1__1-22_20000_us_2x_HSNR02_2022-05-11T104633_corr_rad_f32.img        │   └── 📄 ...        ├── 📁 imaging-2        │   └── 📄 ...        ├── 📁 imaging-3        │   └── 📄 ...        ├── 📁 imaging-4        │   └── 📄 ...        └── 📁 imaging-5            └── 📄 ...

 





Description of a name:



A_B_C__L1_L2_L3__imaging-X__ID.img -> image file

A_B_C__L1_L2_L3__imaging-X__ID.hdr -> header file belonging to an image file

 

A - index of original raw hyperspectral image

B - index of an object on the image (of a particular potato plant)

C - index of slice extracted from the image

L - labels of plants on the image

X - index of the imaging session

ID - string identifier

 





Description of labels (L):



V-T-N (e.g. KK-K-04)

 

V - variety (KK - KIS Krka or KS - KIS Savinja)

T - treatment (K - control or S, drought)

N - index of a particular plant

 





Image properties:



Width of the image: 64

Height of the image: 64

Number of spectral bands: 448

Spectral range: 410nm - 2510nm

Image values are expressed in reflectance

 

Additional links:

Code where the dataset was used for the entire analysis could be found here:

https://github.com/Manuscripts-code/Potato-plants-drought--plants-2024

 
description: This research was backed by financial support from the Slovenian Research Agency (ARRS), in-cluding research core funding under Agrobiodiversity P4-0072 and Young Researcher grants awarded to J. Lapajne and A. Vojnović (no. S-ZRD/22-27/401). Additionally, certain aspects of the research were carried out using equipment funded by the EU-FP7 project CropSustaIn, grant agreement FP7-REGPOT-CT2012-316205.