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Use of Vegetation Indices Derived from Unmanned Aerial Vehicles (UAVs) Imagery for Monitoring Growth and Yield of Paddy and Identifying Weeds in Paddy Fields: A Case Study in Sri Lanka Cover

Use of Vegetation Indices Derived from Unmanned Aerial Vehicles (UAVs) Imagery for Monitoring Growth and Yield of Paddy and Identifying Weeds in Paddy Fields: A Case Study in Sri Lanka

Tropical Agriculturist

Volume 172 (2024): Issue 3

By: H. M. S. Herath, R. M. U. S. Bandara, P. Senadheera, R. F. Hafeel, P. A. M. Krishanthi, A. A. U. M. Jayasinghe, N. M. S. Maheshika, D. A. J. Dissanayake, D. M. J. B. Senanayake, K. M. K. I. Rathnayake, S. H. Nuwan P. De Silva, M. Ariyaratne and B. Marambe

Open Access

|Jul 2024

Articles in this issue

DOI: https://doi.org/10.4038/ta.v172i3.121 | Journal eISSN: 0041-3224

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Language: English

Page range: 1 - 15

Published on: Jul 31, 2024

Published by: Department of Agriculture, Sri Lanka

In partnership with: Paradigm Publishing Services

Keywords:

Drone iImagery,

Precision agriculture,

Site specific weed management,

Unmanned aerial vehicle,

Vegetation indices

© 2024 H. M. S. Herath, R. M. U. S. Bandara, P. Senadheera, R. F. Hafeel, P. A. M. Krishanthi, A. A. U. M. Jayasinghe, N. M. S. Maheshika, D. A. J. Dissanayake, D. M. J. B. Senanayake, K. M. K. I. Rathnayake, S. H. Nuwan P. De Silva, M. Ariyaratne, B. Marambe, published by Department of Agriculture, Sri Lanka
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 172 (2024): Issue 3

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