Mapping the Spatial Distribution of IRG Growth Based on UAV
Author:
Publisher
Korean Society of Soil Science and Fertilizer
Subject
General Medicine
Link
http://ocean.kisti.re.kr/downfile/crosscheck/ksssf/JAKO201633055671518.pdf
Reference15 articles.
1. Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging
2. Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring
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1. Assessing paddy methane emissions through the identification of rice and winter crop areas using Sentinel-2 imagery in Korea;Paddy and Water Environment;2024-05-04
2. Seasonal and Diurnal Change of NDVI from UAV Imagery in Clear Day Condition;Korean Journal of Soil Science and Fertilizer;2018-11-30
3. Application Method of Unmanned Aerial Vehicle for Crop Monitoring in Korea;KOREAN J REMOTE SENS;2018
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