A Hybrid Mobile Application for Quality Grade of Tobacco  (Nicotiana tabacum L.) Using Correlated Color Temperature

Nurettin Şenyer; Recai Oktaş; Mehmet Serhat Odabas; Dursun Kurt; Eren Karaboğa

Article Details

A Hybrid Mobile Application for Quality Grade of Tobacco (Nicotiana tabacum L.) Using Correlated Color Temperature

Authors:

Nurettin Şenyer | Recai Oktaş | Mehmet Serhat Odabas | Dursun Kurt | Eren Karaboğa

Publisher:

Siirt University

Main Topics:

Endüstri Bitkileri

Journal:

Türkiye Tarımsal Araştırmalar Dergisi Vol.10 Issue 2, pp.147-153

Document Type:

Article

Publication Date:

7/2023

Document Language:

English

Document ID (Org No.):

2001293679

pISSN:

2148-2306

Keywords:

Abstract:

 Concerning tobacco Nicotiana tabacum L. producers the size and color of the leaf are important factors in understanding the quality grade of tobacco leaves in the market. The color of tobacco leaves serves as an indicator of quality and is referred to as the maturity index when determining the optimal time for harvesting. In this study, a hybrid mobile application was developed to help determine the harvest time. CoLab was preferred as the backend. Python Imaging Library Pillow was used for image processing on the server side. Color correction was performed on the images taken with the help of X-rite. The correlated color temperature CCT value of the repaired images was calculated. The CCT values were calculated using the Ohno method. Quality grade QG was calculated using the mean CCT value. The data of the images obtained depending on the time were used in the application as a graphic. We present quality grade of tobacco automatically identifying the plant leaves in a given image with the help of the mobile application.

 Concerning tobacco Nicotiana tabacum L. producers the size and color of the leaf are important factors in understanding the quality grade of tobacco leaves in the market. The color of tobacco leaves serves as an indicator of quality and is referred to as the maturity index when determining the optimal time for harvesting. In this study, a hybrid mobile application was developed to help determine the harvest time. CoLab was preferred as the backend. Python Imaging Library Pillow was used for image processing on the server side. Color correction was performed on the images taken with the help of X-rite. The correlated color temperature CCT value of the repaired images was calculated. The CCT values were calculated using the Ohno method. Quality grade QG was calculated using the mean CCT value. The data of the images obtained depending on the time were used in the application as a graphic. We present quality grade of tobacco automatically identifying the plant leaves in a given image with the help of the mobile application.

 Concerning tobacco Nicotiana tabacum L. producers the size and color of the leaf are important factors in understanding the quality grade of tobacco leaves in the market. The color of tobacco leaves serves as an indicator of quality and is referred to as the maturity index when determining the optimal time for harvesting. In this study, a hybrid mobile application was developed to help determine the harvest time. CoLab was preferred as the backend. Python Imaging Library Pillow was used for image processing on the server side. Color correction was performed on the images taken with the help of X-rite. The correlated color temperature CCT value of the repaired images was calculated. The CCT values were calculated using the Ohno method. Quality grade QG was calculated using the mean CCT value. The data of the images obtained depending on the time were used in the application as a graphic. We present quality grade of tobacco automatically identifying the plant leaves in a given image with the help of the mobile application.

 Concerning tobacco Nicotiana tabacum L. producers the size and color of the leaf are important factors in understanding the quality grade of tobacco leaves in the market. The color of tobacco leaves serves as an indicator of quality and is referred to as the maturity index when determining the optimal time for harvesting. In this study, a hybrid mobile application was developed to help determine the harvest time. CoLab was preferred as the backend. Python Imaging Library Pillow was used for image processing on the server side. Color correction was performed on the images taken with the help of X-rite. The correlated color temperature CCT value of the repaired images was calculated. The CCT values were calculated using the Ohno method. Quality grade QG was calculated using the mean CCT value. The data of the images obtained depending on the time were used in the application as a graphic. We present quality grade of tobacco automatically identifying the plant leaves in a given image with the help of the mobile application.

Article Details

A Hybrid Mobile Application for Quality Grade of Tobacco (Nicotiana tabacum L.) Using Correlated Color Temperature

Authors:

Nurettin Şenyer | Recai Oktaş | Mehmet Serhat Odabas | Dursun Kurt | Eren Karaboğa

Publisher:

Siirt University

Main Topics:

Endüstri Bitkileri

Journal:

Türkiye Tarımsal Araştırmalar Dergisi Vol.10 Issue 2, pp.147-153

Document Type:

Article

Publication Date:

7/2023

Document Language:

English

Document ID (Org No.):

2001293679

pISSN:

2148-2306

Correlated color temperature

Tobacco

Nicotiana tabacum L.

image processing

mobile applicationCorrelated color temperature

tobacco

Nicotiana tabacum L.

image processing

mobile application

Issues

Article Details

Authors: Nurettin Şenyer | Recai Oktaş | Mehmet Serhat Odabas | Dursun Kurt | Eren Karaboğa

Publisher: Siirt University

Main Topics: Endüstri Bitkileri

Journal: Türkiye Tarımsal Araştırmalar Dergisi Vol.10 Issue 2, pp.147-153

Document Type: Article

Publication Date: 7/2023

Document Language: English

Document ID (Org No.): 2001293679

pISSN: 2148-2306

Issues

Authors:

Nurettin Şenyer | Recai Oktaş | Mehmet Serhat Odabas | Dursun Kurt | Eren Karaboğa

Publisher:

Siirt University

Main Topics:

Endüstri Bitkileri

Journal:

Türkiye Tarımsal Araştırmalar Dergisi Vol.10 Issue 2, pp.147-153

Document Type:

Article

Publication Date:

7/2023

Document Language:

English

Document ID (Org No.):

2001293679

pISSN:

2148-2306