Legume content estimation from UAV image in grass-legume meadows: comparison methods based on the UAV coverage vs. field biomass

Legume content estimation from UAV image in grass-legume meadows: comparison methods based on the UAV coverage vs. field biomass

Abstract Legume content (LC) in grass-legume mixtures is important for assessing forage quality and optimizing fertilizer application in meadow fields. This study focuses on differences in LC measurements obtained from unmanned aerial vehicle (UAV) images and ground surveys based on dry matter asses...

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Bibliographic Details
Main Authors: Kensuke Kawamura, Tsuneki Tanaka, Taisuke Yasuda, Shoji Okoshi, Masaaki Hanada, Kazuya Doi, Toshiya Saigusa, Takanori Yagi, Kenji Sudo, Kenji Okumura, Jihyun Lim
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-82055-w
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