Toll Free Helpline (India): 1800 1234 070

Rest of World: +91-9810852116

Free Publication Certificate

Vol. 12, Special Issue 8 (2023)

A review on high through-put field phenotyping by Unmanned Aerial Vehicles based Remote sensing (UAV-Rs) technologies in precision agriculture

Author(s):
RG Vyshnavi, RK Samaiya, Karishma Behera, Badal Verma and Teena Patel
Abstract:
Remote sensing in agriculture is a frontier area that leverages advanced technologies to revolutionize farming practices. By harnessing the power of sensors mounted on satellites, drones, and aircraft, remote sensing enables the collection and analysis of data about crops and land from a distance. Crop phenotype refers to a comprehensive set of physiological and biochemical characteristics that are influenced by the genetic information and environmental factors. Phenotyping plays a prominent role in predicting the genotypic and phenotypic expression patterns in relation to yield improvement. Conventional approaches for acquiring phenotypic data in field is labour intensive and time-consuming process. Therefore, the emergence of Unmanned Aerial Vehicle based remote sensing platforms (UAV-Rs) equipped with diverse sensors has recently revolutionized the high-throughput phenotyping. Sensor based crop phenotyping involves in rapid and nondestructive collection of large-scale plant phenotypic data through UAV-Rs technologies. This review examines how the strategic use of imaging spectroscopy of UAV-Rs facilitates the compliance monitoring of crop phenotype, in the assessment of crop geometric and quantitative traits, in the estimation of vegetation indices and in the biotic and abiotic stresses responses through different spectroscopy imaging technologies such as RGV, multispectral, hyperspectral, thermal, LIDAR and RADAR.
Pages: 1088-1097  |  296 Views  236 Downloads
How to cite this article:
RG Vyshnavi, RK Samaiya, Karishma Behera, Badal Verma and Teena Patel. A review on high through-put field phenotyping by Unmanned Aerial Vehicles based Remote sensing (UAV-Rs) technologies in precision agriculture. The Pharma Innovation Journal. 2023; 12(8S): 1088-1097.
Important Publications Links
The Pharma Innovation Journal

The Pharma Innovation Journal


Call for book chapter