Work

Integrating Sentinel-2 Imagery and Machine Learning for Crop Damage Evaluation in Thai Agriculture

Year: 2024

Type: conference-paper

DOI: 10.1109/gis-ideas63212.2024.10991106

Authors: Viphada Bonnlerd, Woranut Chansury, Panu Nueangjumnong, Pakorn Petchprayoon, Sansita Rattanasupa, Sirilux Noikeaing, Apantri Yutthapan, Pheeraphong Rattanaburi

Institutions: Ministry of Agriculture and Cooperatives, Government of Thailand

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Zero hunger, Industry, innovation and infrastructure, Climate action

Open Access status: closed

Funder: National Research Council of Thailand

OpenAlex ID: W4410427744

FWCI:

Cites: 16

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Related to: 10