Identification of Damaged Date Palm Tree in a Farm using IoT-based Thermal Image Analysis

Adnan Nadeem; Muhammad Ashraf; Amir Mehmood; Muhammad Shoaib Siddiqui; Hani Almoamari; Qammer H. Abbasi

doi:10.1109/CITS58301.2023.10188730

Identification of Damaged Date Palm Tree in a Farm using IoT-based Thermal Image Analysis

Adnan Nadeem
, Muhammad Ashraf
, Amir Mehmood
, Muhammad Shoaib Siddiqui
, Hani Almoamari
, Qammer H. Abbasi

Islamic University of Madinah
Federal Urdu University of Arts, Science and Technology
Sir Syed University of Engineering and Technology
University of Glasgow

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

The Kingdom of Saudi Arabia is one of the world's leading fresh date producers. Identifying damaged date palm trees on the farm is important for saving water and stopping the spread of pest which has caused the damage. In this paper, we aim to evaluate the performance of IoT-based thermal image camera input for the automatic detection of damaged trees in a Date Tree farm. The thermal images will be obtained by an IoTbased thermal camera attached to UAV. Then the temperature histogram vector will be generated which will be fed to the SVM for identification of the damaged tree. The system will raise the alarm along with the coordinates of the damaged tree for the farmer to proactively deal with the issue. The initial results of the tested scenario are encouraging for its detailed implementation in the future.

Original language	English
Title of host publication	Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023
Editors	Mohammad S. Obaidat, Mohammad S. Obaidat, Mohammad S. Obaidat, Franco Davoli, Kuei-Fang Hsiao, Petros Nicopolitidis, Yu Guo
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350336092
DOIs	https://doi.org/10.1109/CITS58301.2023.10188730
State	Published - 2023
Externally published	Yes
Event	2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023 - Genoa, Italy Duration: 10 Jul 2023 → 12 Jul 2023

Publication series

Name	Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023

Conference

Conference	2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023
Country/Territory	Italy
City	Genoa
Period	10/07/23 → 12/07/23

Keywords

AI in Agriculture
Damaged Tree Detection
Smart Agriculture
Thermal Image Analysis

Access to Document

10.1109/CITS58301.2023.10188730

Cite this

Nadeem, A., Ashraf, M., Mehmood, A., Siddiqui, M. S., Almoamari, H., & Abbasi, Q. H. (2023). Identification of Damaged Date Palm Tree in a Farm using IoT-based Thermal Image Analysis. In M. S. Obaidat, M. S. Obaidat, M. S. Obaidat, F. Davoli, K.-F. Hsiao, P. Nicopolitidis, & Y. Guo (Eds.), Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023 (Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CITS58301.2023.10188730

Nadeem, Adnan ; Ashraf, Muhammad ; Mehmood, Amir et al. / Identification of Damaged Date Palm Tree in a Farm using IoT-based Thermal Image Analysis. Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023. editor / Mohammad S. Obaidat ; Mohammad S. Obaidat ; Mohammad S. Obaidat ; Franco Davoli ; Kuei-Fang Hsiao ; Petros Nicopolitidis ; Yu Guo. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023).

@inproceedings{03a5dd58c3a24d37a11427d7f3a9c70c,

title = "Identification of Damaged Date Palm Tree in a Farm using IoT-based Thermal Image Analysis",

abstract = "The Kingdom of Saudi Arabia is one of the world's leading fresh date producers. Identifying damaged date palm trees on the farm is important for saving water and stopping the spread of pest which has caused the damage. In this paper, we aim to evaluate the performance of IoT-based thermal image camera input for the automatic detection of damaged trees in a Date Tree farm. The thermal images will be obtained by an IoTbased thermal camera attached to UAV. Then the temperature histogram vector will be generated which will be fed to the SVM for identification of the damaged tree. The system will raise the alarm along with the coordinates of the damaged tree for the farmer to proactively deal with the issue. The initial results of the tested scenario are encouraging for its detailed implementation in the future.",

keywords = "AI in Agriculture, Damaged Tree Detection, Smart Agriculture, Thermal Image Analysis",

author = "Adnan Nadeem and Muhammad Ashraf and Amir Mehmood and Siddiqui, \{Muhammad Shoaib\} and Hani Almoamari and Abbasi, \{Qammer H.\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023 ; Conference date: 10-07-2023 Through 12-07-2023",

year = "2023",

doi = "10.1109/CITS58301.2023.10188730",

language = "English",

series = "Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Obaidat, \{Mohammad S.\} and Obaidat, \{Mohammad S.\} and Obaidat, \{Mohammad S.\} and Franco Davoli and Kuei-Fang Hsiao and Petros Nicopolitidis and Yu Guo",

booktitle = "Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023",

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}

Nadeem, A, Ashraf, M, Mehmood, A, Siddiqui, MS, Almoamari, H & Abbasi, QH 2023, Identification of Damaged Date Palm Tree in a Farm using IoT-based Thermal Image Analysis. in MS Obaidat, MS Obaidat, MS Obaidat, F Davoli, K-F Hsiao, P Nicopolitidis & Y Guo (eds), Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023. Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023, Genoa, Italy, 10/07/23. https://doi.org/10.1109/CITS58301.2023.10188730

Identification of Damaged Date Palm Tree in a Farm using IoT-based Thermal Image Analysis. / Nadeem, Adnan; Ashraf, Muhammad; Mehmood, Amir et al.
Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023. ed. / Mohammad S. Obaidat; Mohammad S. Obaidat; Mohammad S. Obaidat; Franco Davoli; Kuei-Fang Hsiao; Petros Nicopolitidis; Yu Guo. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Identification of Damaged Date Palm Tree in a Farm using IoT-based Thermal Image Analysis

AU - Nadeem, Adnan

AU - Ashraf, Muhammad

AU - Mehmood, Amir

AU - Siddiqui, Muhammad Shoaib

AU - Almoamari, Hani

AU - Abbasi, Qammer H.

PY - 2023

Y1 - 2023

N2 - The Kingdom of Saudi Arabia is one of the world's leading fresh date producers. Identifying damaged date palm trees on the farm is important for saving water and stopping the spread of pest which has caused the damage. In this paper, we aim to evaluate the performance of IoT-based thermal image camera input for the automatic detection of damaged trees in a Date Tree farm. The thermal images will be obtained by an IoTbased thermal camera attached to UAV. Then the temperature histogram vector will be generated which will be fed to the SVM for identification of the damaged tree. The system will raise the alarm along with the coordinates of the damaged tree for the farmer to proactively deal with the issue. The initial results of the tested scenario are encouraging for its detailed implementation in the future.

AB - The Kingdom of Saudi Arabia is one of the world's leading fresh date producers. Identifying damaged date palm trees on the farm is important for saving water and stopping the spread of pest which has caused the damage. In this paper, we aim to evaluate the performance of IoT-based thermal image camera input for the automatic detection of damaged trees in a Date Tree farm. The thermal images will be obtained by an IoTbased thermal camera attached to UAV. Then the temperature histogram vector will be generated which will be fed to the SVM for identification of the damaged tree. The system will raise the alarm along with the coordinates of the damaged tree for the farmer to proactively deal with the issue. The initial results of the tested scenario are encouraging for its detailed implementation in the future.

KW - AI in Agriculture

KW - Damaged Tree Detection

KW - Smart Agriculture

KW - Thermal Image Analysis

UR - https://www.scopus.com/pages/publications/85167871279

U2 - 10.1109/CITS58301.2023.10188730

DO - 10.1109/CITS58301.2023.10188730

M3 - Conference contribution

AN - SCOPUS:85167871279

T3 - Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023

BT - Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023

A2 - Obaidat, Mohammad S.

A2 - Davoli, Franco

A2 - Hsiao, Kuei-Fang

A2 - Nicopolitidis, Petros

A2 - Guo, Yu

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023

Y2 - 10 July 2023 through 12 July 2023

ER -

Nadeem A, Ashraf M, Mehmood A, Siddiqui MS, Almoamari H, Abbasi QH. Identification of Damaged Date Palm Tree in a Farm using IoT-based Thermal Image Analysis. In Obaidat MS, Obaidat MS, Obaidat MS, Davoli F, Hsiao KF, Nicopolitidis P, Guo Y, editors, Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings of the 2023 IEEE International Conference on Computer, Information, and Telecommunication Systems, CITS 2023). doi: 10.1109/CITS58301.2023.10188730

Identification of Damaged Date Palm Tree in a Farm using IoT-based Thermal Image Analysis

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