Items where Author is "Chandramouli, M"

China

Hammouch, H and Patil, Suchitra and Choudhary, S and El-Yacoubi, M A and Masner, J and Kholova, J and Anbazhagan, K and Vaněk, J and Qin, H and Stočes, M and Berbia, H and Jagarlapudi, A and Chandramouli, M and Mamidi, S and Prasad, K V S V and Baddam, R (2024) Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content. Agriculture (TSI), 14 (10). pp. 1-15. ISSN 2077-0472

Czech Republic

Hammouch, H and Patil, Suchitra and Choudhary, S and El-Yacoubi, M A and Masner, J and Kholova, J and Anbazhagan, K and Vaněk, J and Qin, H and Stočes, M and Berbia, H and Jagarlapudi, A and Chandramouli, M and Mamidi, S and Prasad, K V S V and Baddam, R (2024) Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content. Agriculture (TSI), 14 (10). pp. 1-15. ISSN 2077-0472

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

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.

France

Hammouch, H and Patil, Suchitra and Choudhary, S and El-Yacoubi, M A and Masner, J and Kholova, J and Anbazhagan, K and Vaněk, J and Qin, H and Stočes, M and Berbia, H and Jagarlapudi, A and Chandramouli, M and Mamidi, S and Prasad, K V S V and Baddam, R (2024) Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content. Agriculture (TSI), 14 (10). pp. 1-15. ISSN 2077-0472

India

Hammouch, H and Patil, Suchitra and Choudhary, S and El-Yacoubi, M A and Masner, J and Kholova, J and Anbazhagan, K and Vaněk, J and Qin, H and Stočes, M and Berbia, H and Jagarlapudi, A and Chandramouli, M and Mamidi, S and Prasad, K V S V and Baddam, R (2024) Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content. Agriculture (TSI), 14 (10). pp. 1-15. ISSN 2077-0472

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

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.

Morocco

Hammouch, H and Patil, Suchitra and Choudhary, S and El-Yacoubi, M A and Masner, J and Kholova, J and Anbazhagan, K and Vaněk, J and Qin, H and Stočes, M and Berbia, H and Jagarlapudi, A and Chandramouli, M and Mamidi, S and Prasad, K V S V and Baddam, R (2024) Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content. Agriculture (TSI), 14 (10). pp. 1-15. ISSN 2077-0472

USA

Hammouch, H and Patil, Suchitra and Choudhary, S and El-Yacoubi, M A and Masner, J and Kholova, J and Anbazhagan, K and Vaněk, J and Qin, H and Stočes, M and Berbia, H and Jagarlapudi, A and Chandramouli, M and Mamidi, S and Prasad, K V S V and Baddam, R (2024) Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content. Agriculture (TSI), 14 (10). pp. 1-15. ISSN 2077-0472

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

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.