Application of an unmanned aerial system for monitoring paddy productivity using the GRAMI-rice model
Author:
Affiliation:
1. Applied Plant Science, Chonnam National University, Gwangju, Republic of Korea
2. Cal/Val & Data Quality Control Team, Korea Aerospace Research Institute, Daejeon, Republic of Korea
Funder
Basic Science Research Program through the National Research Foundation of Korea (NRF)
the Ministry of Education, Science, and Technology
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1425567
Reference46 articles.
1. Monitoring des Pflanzenwachstums mit Hilfe multitemporaler und hoch auflösender Oberflächenmodelle von Getreidebeständen auf Basis von Bildern aus UAV-Befliegungen
2. Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images
3. Quantifying spatial variability of indigenous nitrogen supply for precision nitrogen management in small scale farming
4. Comparison of principal component inversion with VI-empirical approach for LAI estimation using simulated reflectance data
5. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
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