Items where Author is "Rajalakshmi, P"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Item Type | Funders | Country | Date
Number of items: 6.

Article

Priyanka, G and Choudhary, S and Anbazhagan, K and Naresh, D and Baddam, R and JarolĂ­mek, J and Parnandi, Y and Rajalakshmi, P and Kholova, J (2023) A step towards inter-operable Unmanned Aerial Vehicles (UAV) based phenotyping; A case study demonstrating a rapid, quantitative approach to standardize image acquisition and check quality of acquired images. ISPRS Open Journal of Photogrammetry and Remote Sensing, 9. pp. 1-13. ISSN 2667-3932

Sankararao, A U G and Rajalakshmi, P and Choudhary, S (2023) Machine Learning-Based Ensemble Band Selection for Early Water Stress Identification in Groundnut Canopy Using UAV-Based Hyperspectral Imaging. IEEE Geoscience and Remote Sensing Letters, 20. ISSN 1558-0571

Conference or Workshop Item

Priyanka, G and Rajalakshmi, P and Kholova, J (2023) Two Dimensional Histogram based on Relative Entropy Thresholding for Crop Segmentation Using UAV Images. In: IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), 16-21 July 2023, Pasadena, CA, USA.

Priyanka, G and Shreeshan, S and Bhatterjee, S S and Rajalakshmi, P and Kholova, J (2023) Vision-Based Point Cloud Processing Framework for High Throughput Phenotyping. In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 16-21 July 2023, Pasadena, CA, USA.

Patil, S M and Choudhary, S and Kholova, J and Anbazhagan, K and Parnandi, Y and Gattu, P and Mallayee, S and Prasad, K S V V and Kumar, V P and Rajalakshmi, P and Chandramouli, M and Adinarayana, J (2023) UAV-based Digital Field Phenotyping for Crop Nitrogen Estimation using RGB Imagery. In: IEEE IAS Global Conference on Emerging Technologies (GlobConET), 19-21 May 2023, London, United Kingdom.

Sankararao, A U G and Rajalakshmi, P and Kaliamoorthy, S and Choudhary, S (2022) Water Stress Detection in Pearl Millet Canopy with Selected Wavebands using UAV Based Hyperspectral Imaging and Machine Learning. In: 2022 IEEE Sensors Applications Symposium (SAS), 01-03 Aug 2022, Sundsvall, Sweden.

This list was generated on Tue Oct 15 01:03:49 2024 UTC.