Original paper

Estimation of nitrogen nutrition index in rice from UAV RGB images coupled with machine learning algorithms

Volume: 189, Pages: 106421 - 106421
Published: Oct 1, 2021
Abstract
Rapid and accurate estimation of rice Nitrogen Nutrition Index (NNI) is beneficial for management of nitrogen application in rice production. Traditional estimation methods required manual actual measurement data in the field, which was time-consuming and cost-expensive, and RGB images from unmanned aerial vehicle (UAV) provided an alternative option for nitrogen nutrition index (NNI) monitoring. In this study, RGB images from unmanned aerial...
Paper Details
Title
Estimation of nitrogen nutrition index in rice from UAV RGB images coupled with machine learning algorithms
Published Date
Oct 1, 2021
Volume
189
Pages
106421 - 106421
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.