Agronomic Information Extraction from UAV-Based Thermal Photogrammetry Using MATLAB.
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| Title: | Agronomic Information Extraction from UAV-Based Thermal Photogrammetry Using MATLAB. |
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| Authors: | Paciolla, Francesco1 (AUTHOR), Popeo, Giovanni1 (AUTHOR), Farella, Alessia1 (AUTHOR), Pascuzzi, Simone1 (AUTHOR) simone.pascuzzi@uniba.it |
| Source: | Remote Sensing. Aug2025, Vol. 17 Issue 15, p2746. 17p. |
| Subjects: | Agronomy, Agricultural drones, Thermography, MatLab (Computer software), Irrigation efficiency, Precision farming, Irrigation scheduling |
| Abstract: | Thermal cameras are becoming popular in several applications of precision agriculture, including crop and soil monitoring, for efficient irrigation scheduling, crop maturity, and yield mapping. Nowadays, these sensors can be integrated as payloads on unmanned aerial vehicles, providing high spatial and temporal resolution, to deeply understand the variability of crop and soil conditions. However, few commercial software programs, such as PIX4D Mapper, can process thermal images, and their functionalities are very limited. This paper reports on the implementation of a custom MATLAB® R2024a script to extract agronomic information from thermal orthomosaics obtained from images acquired by the DJI Mavic 3T drone. This approach enables us to evaluate the temperature at each point of an orthomosaic, create regions of interest, calculate basic statistics of spatial temperature distribution, and compute the Crop Water Stress Index. In the authors' opinion, the reported approach can be easily replicated and can serve as a valuable tool for scientists who work with thermal images in the agricultural sector. [ABSTRACT FROM AUTHOR] |
| Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 187311814 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Agronomic Information Extraction from UAV-Based Thermal Photogrammetry Using MATLAB. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Paciolla%2C+Francesco%22">Paciolla, Francesco</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Popeo%2C+Giovanni%22">Popeo, Giovanni</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Farella%2C+Alessia%22">Farella, Alessia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pascuzzi%2C+Simone%22">Pascuzzi, Simone</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> simone.pascuzzi@uniba.it</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Aug2025, Vol. 17 Issue 15, p2746. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Agronomy%22">Agronomy</searchLink><br /><searchLink fieldCode="DE" term="%22Agricultural+drones%22">Agricultural drones</searchLink><br /><searchLink fieldCode="DE" term="%22Thermography%22">Thermography</searchLink><br /><searchLink fieldCode="DE" term="%22MatLab+%28Computer+software%29%22">MatLab (Computer software)</searchLink><br /><searchLink fieldCode="DE" term="%22Irrigation+efficiency%22">Irrigation efficiency</searchLink><br /><searchLink fieldCode="DE" term="%22Precision+farming%22">Precision farming</searchLink><br /><searchLink fieldCode="DE" term="%22Irrigation+scheduling%22">Irrigation scheduling</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Thermal cameras are becoming popular in several applications of precision agriculture, including crop and soil monitoring, for efficient irrigation scheduling, crop maturity, and yield mapping. Nowadays, these sensors can be integrated as payloads on unmanned aerial vehicles, providing high spatial and temporal resolution, to deeply understand the variability of crop and soil conditions. However, few commercial software programs, such as PIX4D Mapper, can process thermal images, and their functionalities are very limited. This paper reports on the implementation of a custom MATLAB® R2024a script to extract agronomic information from thermal orthomosaics obtained from images acquired by the DJI Mavic 3T drone. This approach enables us to evaluate the temperature at each point of an orthomosaic, create regions of interest, calculate basic statistics of spatial temperature distribution, and compute the Crop Water Stress Index. In the authors' opinion, the reported approach can be easily replicated and can serve as a valuable tool for scientists who work with thermal images in the agricultural sector. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs17152746 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 2746 Subjects: – SubjectFull: Agronomy Type: general – SubjectFull: Agricultural drones Type: general – SubjectFull: Thermography Type: general – SubjectFull: MatLab (Computer software) Type: general – SubjectFull: Irrigation efficiency Type: general – SubjectFull: Precision farming Type: general – SubjectFull: Irrigation scheduling Type: general Titles: – TitleFull: Agronomic Information Extraction from UAV-Based Thermal Photogrammetry Using MATLAB. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Paciolla, Francesco – PersonEntity: Name: NameFull: Popeo, Giovanni – PersonEntity: Name: NameFull: Farella, Alessia – PersonEntity: Name: NameFull: Pascuzzi, Simone IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 17 – Type: issue Value: 15 Titles: – TitleFull: Remote Sensing Type: main |
| ResultId | 1 |
