A review on advancing agricultural practices using photogrammetric images
2025
Sakthivel, N | Adhisankaran, K | Kabilan, M | Balachandar, D | Ragunath, K P | Raja, R | Manivannan, V | Vasumathi, V
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.
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