A review on advancing agricultural practices using photogrammetric images Article Swipe
V Vasumathi
,
V Manivannan
,
R. Raja
,
K P Ragunath
,
N Sakthivel
,
Dananjeyan Balachandar
,
M Kabilan
,
Kandasamy Adhisankaran
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.14719/pst.8813
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.14719/pst.8813
Photogrammetry is a technique that involves the extraction of geometric information from two-dimensional images (2D). It is widely utilized in various fields for the creation of digital elevation models (DEM), orthomosaics and three-dimensional (3D) reconstructions of landscapes. In agriculture it is applied to obtain accurate and detailed spatial data for field variability mapping. It serves as a powerful tool in modern agriculture, contributing to high throughput phenotyping, monitoring growth patterns, pest attacks and nutrient deficiencies further helping in efficient resource management and decision-making about important farming operations. Real time monitoring further enhances its applicability in agriculture through the integration of photogrammetry with other technologies like drones, artificial intelligence and remote sensing. By harnessing the power of photogrammetry, stakeholders in the agricultural sector can unlock new possibilities for precision agriculture, resource optimization and ecosystem stewardship. Totally 300 articles were collected related to the topic of review from various sources in that nearly 100 articles were used to explore about photogrammetry progression, principles and software for processing images and mainly underscores the applications that offer farmers to enhance productivity by reducing environmental impact. The potential challenges and future directions in photogrammetric applications in agriculture are also discussed, highlighting the need for continued research and innovation to address evolving agricultural demands and sustainability goals.
Related Topics
Concepts
Photogrammetry
Precision agriculture
Agriculture
Computer science
Resource (disambiguation)
Remote sensing
Sustainability
Geospatial analysis
Environmental resource management
Field (mathematics)
Data science
Geography
Artificial intelligence
Environmental science
Ecology
Archaeology
Computer network
Mathematics
Biology
Pure mathematics
Metadata
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- Language
- en
- Landing Page
- https://doi.org/10.14719/pst.8813
- OA Status
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- OpenAlex ID
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All OpenAlex metadata
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https://doi.org/10.14719/pst.8813Digital Object Identifier
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A review on advancing agricultural practices using photogrammetric imagesWork title
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reviewOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-08-08Full publication date if available
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V Vasumathi, V Manivannan, R. Raja, K P Ragunath, N Sakthivel, Dananjeyan Balachandar, M Kabilan, Kandasamy AdhisankaranList of authors in order
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YesWhether a free full text is available
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Photogrammetry, Precision agriculture, Agriculture, Computer science, Resource (disambiguation), Remote sensing, Sustainability, Geospatial analysis, Environmental resource management, Field (mathematics), Data science, Geography, Artificial intelligence, Environmental science, Ecology, Archaeology, Computer network, Mathematics, Biology, Pure mathematicsTop concepts (fields/topics) attached by OpenAlex
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