 | Up a level |
Chadalavada, K and Anbazhagan, K and Ndour, A and Choudhary, S and Palmer, W and Flynn, J R and Mallayee, S and Pothu, S and Prasad, K V S S and Varijakshapanikar, P and Jones, C S and Kholová, J (2022) NIR Instruments and Prediction Methods for Rapid Access to Grain Protein Content in Multiple Cereals. Sensors, 22. pp. 1-18. ISSN 1424-8220
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.
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
Priyanka, G and Choudhary, S and Anbazhagan, K and Naresh, D and Baddam, R and Jarolímek, 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
Ronanki, S and Pavlík, J and Masner, J and Jarolímek, J and Stočes, M and Subhash, D and Talwar, H S and Tonapi, V A and Srikanth, M and Baddam, R and Kholova, J (2022) An APSIM-powered framework for post-rainy sorghum-system design in India. Field Crops Research (TSI), 277. pp. 1-12. ISSN 0378-4290