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Use of Drone Imagery to Predict Leaf Nitrogen Content of Sugarcane Cultivated Under Organic Fertilizer Application Cover

Use of Drone Imagery to Predict Leaf Nitrogen Content of Sugarcane Cultivated Under Organic Fertilizer Application

Tropical Agricultural Research
Volume 35 (2024): Issue 1
By: ,  ,   and    
Open Access
|Jan 2024
Authors

Authors

U. W. L. M. Kumarasiri

lahirumadhushankaln99@gmail.com

Sugarcane Research Institute, Uda Walawe, 70190

U. W. A. Vitharana

chalindab@gmail.com

University of Peradeniya, 20400

T. Ariyawansha

chalindab@gmail.com

University of Colombo, 10206

B. R. Kulasekara

chalindab@gmail.com

Sugarcane Research Institute, Uda Walawe, 70190
DOI: https://doi.org/10.4038/tar.v35i1.8700 | Journal eISSN: 2706-0233
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Language: English
Page range: 11 - 23
Published on: Jan 1, 2024
Published by: Postgraduate Institute of Agriculture (PGIA)
In partnership with: Paradigm Publishing Services
Keywords:
Machine learning,
Nitrogen,
Sugarcane,
UAVs,
Vegetation indices

© 2024 U. W. L. M. Kumarasiri, U. W. A. Vitharana, T. Ariyawansha, B. R. Kulasekara, published by Postgraduate Institute of Agriculture (PGIA)
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 35 (2024): Issue 1
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