Dataset of date palm tree (Phoenix dactylifera L.) thermal images and their classification based on Red Palm Weevil (Rhynchophorus ferrugineus) infestation
The primary objective of this article is to present a comprehensive dataset for controlling and monitoring red palm weevil (RPW) (Rhynchophorus ferrugineus) infestation. For this purpose, several digital and thermal images of date palm trees (Phoenix dactylifera L.) have been captured from various d...
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| Format: | Article |
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Frontiers Media S.A.
2025-07-01
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| Series: | Frontiers in Agronomy |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fagro.2025.1604188/full |
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| author | Adnan Nadeem Muhammad Ashraf Amir Mehmood Kashif Rizwan Muhammad Shoaib Siddiqui |
| author_facet | Adnan Nadeem Muhammad Ashraf Amir Mehmood Kashif Rizwan Muhammad Shoaib Siddiqui |
| author_sort | Adnan Nadeem |
| collection | DOAJ |
| description | The primary objective of this article is to present a comprehensive dataset for controlling and monitoring red palm weevil (RPW) (Rhynchophorus ferrugineus) infestation. For this purpose, several digital and thermal images of date palm trees (Phoenix dactylifera L.) have been captured from various date palm groves in Khairpur, Sindh, Pakistan. Each image in the dataset is annotated with the farmers’ feedback regarding the health status of the corresponding tree, categorizing it as non-infected, infected, badly damaged, or dead. This dataset aims to facilitate (1) RPW pest management and (2) the development and evaluation of machine learning algorithms for automated date palm tree classification by providing a diverse collection of images and groundtruth labels. It contains 832 images (RGB and thermal) collected through the onground survey in date palm fields, which are classified based on visual inspection and the farmers’ feedback. A neural network-based thermal analysis is made, which validates the initial classification. The dataset shows promising potential for further studies, supporting a wide range of research topics extending the body of knowledge. It is valuable for researchers, industry professionals, public authorities, and others interested in harvesting date palm trees. |
| format | Article |
| id | doaj-art-b3fa2237a6b0493abcd6e18e9261aa65 |
| institution | Kabale University |
| issn | 2673-3218 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Agronomy |
| spelling | doaj-art-b3fa2237a6b0493abcd6e18e9261aa652025-08-20T03:28:22ZengFrontiers Media S.A.Frontiers in Agronomy2673-32182025-07-01710.3389/fagro.2025.16041881604188Dataset of date palm tree (Phoenix dactylifera L.) thermal images and their classification based on Red Palm Weevil (Rhynchophorus ferrugineus) infestationAdnan Nadeem0Muhammad Ashraf1Amir Mehmood2Kashif Rizwan3Muhammad Shoaib Siddiqui4Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah, Saudi ArabiaDepartment of Physics, Federal Urdu University of Arts, Science and Technology, Karachi, PakistanDepartment of Computer Science, Al-Kawthar University, Karachi, PakistanDepartment of Computer Science, Federal Urdu University of Arts, Science and Technology, Islamabad, PakistanFaculty of Computer and Information Systems, Islamic University of Madinah, Madinah, Saudi ArabiaThe primary objective of this article is to present a comprehensive dataset for controlling and monitoring red palm weevil (RPW) (Rhynchophorus ferrugineus) infestation. For this purpose, several digital and thermal images of date palm trees (Phoenix dactylifera L.) have been captured from various date palm groves in Khairpur, Sindh, Pakistan. Each image in the dataset is annotated with the farmers’ feedback regarding the health status of the corresponding tree, categorizing it as non-infected, infected, badly damaged, or dead. This dataset aims to facilitate (1) RPW pest management and (2) the development and evaluation of machine learning algorithms for automated date palm tree classification by providing a diverse collection of images and groundtruth labels. It contains 832 images (RGB and thermal) collected through the onground survey in date palm fields, which are classified based on visual inspection and the farmers’ feedback. A neural network-based thermal analysis is made, which validates the initial classification. The dataset shows promising potential for further studies, supporting a wide range of research topics extending the body of knowledge. It is valuable for researchers, industry professionals, public authorities, and others interested in harvesting date palm trees.https://www.frontiersin.org/articles/10.3389/fagro.2025.1604188/fulldate palm tree datasetsmart agricultureRPW infestationthermal imagesAI in agriculture |
| spellingShingle | Adnan Nadeem Muhammad Ashraf Amir Mehmood Kashif Rizwan Muhammad Shoaib Siddiqui Dataset of date palm tree (Phoenix dactylifera L.) thermal images and their classification based on Red Palm Weevil (Rhynchophorus ferrugineus) infestation Frontiers in Agronomy date palm tree dataset smart agriculture RPW infestation thermal images AI in agriculture |
| title | Dataset of date palm tree (Phoenix dactylifera L.) thermal images and their classification based on Red Palm Weevil (Rhynchophorus ferrugineus) infestation |
| title_full | Dataset of date palm tree (Phoenix dactylifera L.) thermal images and their classification based on Red Palm Weevil (Rhynchophorus ferrugineus) infestation |
| title_fullStr | Dataset of date palm tree (Phoenix dactylifera L.) thermal images and their classification based on Red Palm Weevil (Rhynchophorus ferrugineus) infestation |
| title_full_unstemmed | Dataset of date palm tree (Phoenix dactylifera L.) thermal images and their classification based on Red Palm Weevil (Rhynchophorus ferrugineus) infestation |
| title_short | Dataset of date palm tree (Phoenix dactylifera L.) thermal images and their classification based on Red Palm Weevil (Rhynchophorus ferrugineus) infestation |
| title_sort | dataset of date palm tree phoenix dactylifera l thermal images and their classification based on red palm weevil rhynchophorus ferrugineus infestation |
| topic | date palm tree dataset smart agriculture RPW infestation thermal images AI in agriculture |
| url | https://www.frontiersin.org/articles/10.3389/fagro.2025.1604188/full |
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