Patil, S M and Choudhary, S and Kholova, J and Chandramouli, M and Jagarlapudi, A (2024) Applications of UAVs: Image-Based Plant Phenotyping. In: Digital Agriculture. Springer Cham, Switzerland, pp. 341-367. ISBN 978-3-031-43548-5
Full text not available from this repository. (Request a copy)Abstract
Plant phenotyping plays an important role in the qualitative and quantitative assessment of plant growth in its growth environment. Traditional data-collection process used in plant breeding applications is mostly manual, time-consuming, labor-intensive, and highly subjective. Recent advancements in imaging sensors and platforms have significantly enhanced the speed and precision of image-based automated high-throughput plant phenotyping (HTPP). Current automated HTPP is mostly done in controlled environment where the plants are moved to phenotyping platforms. Such technologies are not feasible for open-field phenotyping. Satellite-based remote sensing has been used from decades but is not much effective in small-scale field phenotyping. Nowadays, satellite imagery with good resolution of up to few centimeters (~10–50 cm) is available, but due to fixed revisit time its temporal resolution is still limited. For crops’ trait estimation, high spatial, spectral, and temporal resolutions are mandatory. On the other hand, unmanned aerial vehicle (UAV)-drone-assisted image-based HTPP is current state-of-the-art for open-field phenotyping, and is known for providing data with high spatiotemporal resolution, with wide coverage in shorter duration. UAV (drone)-assisted HTPP is used in quantitative phenotyping for traits like plant height, biomass, and leaf area index, and qualitative phenotyping for traits like leaf nitrogen content; it is also used in biotic and abiotic stress quantification in plants. As of now the UAVs (drones) are popular for scouting and pesticide spraying in open field. The use of UAVs (drones) for phenotyping is a newer research area that is not matured enough till date. The main objective of this chapter is to explore the use of UAVs (drones) with different types of sensors mounted on it, for lean field phenotyping so that it will be used to assist the breeders in speeding up the selective breeding process using image-based HTPP with high precision and accuracy.
Item Type: | Book Section |
---|---|
Divisions: | Global Research Program - Accelerated Crop Improvement |
CRP: | UNSPECIFIED |
Uncontrolled Keywords: | High-throughput plant phenotyping (HTPP), Unmanned ariel vehicle (UAV), Image-based phenotyping |
Subjects: | Others > Crop Physiology |
Depositing User: | Mr Nagaraju T |
Date Deposited: | 19 Feb 2024 10:44 |
Last Modified: | 19 Feb 2024 10:44 |
URI: | http://oar.icrisat.org/id/eprint/12492 |
Acknowledgement: | UNSPECIFIED |
Links: |
Actions (login required)
View Item |