Varun Tiwari

College of Natural Resources

Works (3)

Updated: April 24th, 2025 05:37

2024 journal article

Advancing food security: Rice yield estimation framework using time-series satellite data & machine learning

Advancing food security: Rice yield estimation framework using time-series satellite data & machine learning. PLOS ONE, 19(12).

By: V. Tiwari n, K. Thorp *, M. Tulbure n , J. Gray n , M. Kamruzzaman *, T. Krupnik *, A. Sankarasubramanian  n, M. Ardon n 

MeSH headings : Oryza / growth & development; Food Security; Machine Learning; Bangladesh; Crops, Agricultural / growth & development; Climate Change; Agriculture / methods; Satellite Imagery / methods
topics (OpenAlex): Remote Sensing in Agriculture; Climate change impacts on agriculture; Smart Agriculture and AI
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: February 24, 2025

2024 journal article

Projecting Surface Water Area Under Different Climate and Development Scenarios

EARTHS FUTURE, 12(7).

By: M. Gaines n , M. Tulbure n , V. Perin n, R. Composto n & V. Tiwari n

author keywords: surface water; projection; land-use/land-cover change; climate change; machine learning
topics (OpenAlex): Hydrology and Watershed Management Studies; Climate variability and models; Flood Risk Assessment and Management
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: July 22, 2024

2023 journal article

Automated in-season rice crop mapping using Sentinel time-series data and Google Earth Engine: A case study in climate-risk prone Bangladesh

JOURNAL OF ENVIRONMENTAL MANAGEMENT, 351.

By: V. Tiwari n, M. Tulbure n , J. Caineta n, M. Gaines n , V. Perin n, M. Kamal *, T. Krupnik *, M. Aziz *, A. Islam *

author keywords: Synthetic aperture radar; Random forest; Multi-otsu; Boro rice; Flooding; In-season maps
MeSH headings : Oryza; Seasons; Bangladesh; Search Engine; Agriculture / methods
topics (OpenAlex): Rice Cultivation and Yield Improvement; Remote Sensing in Agriculture; Climate change impacts on agriculture
TL;DR: Although the multi-Otsu approach had relatively lower OCA, it proved effective in accurately mapping rice areas prior to harvest, eliminating the need for training samples that can be challenging to obtain during the growing season. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: January 29, 2024

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