Nitrogen fertilizer recommendation for waxy corn measured by canopy reflectance using UAV imaging passive sensor

P. Jermthaisong, S. Kingpaiboon, P. Chawakitchareon, Y. Kiyoki

研究成果: Article査読

抄録

Nitrogen (N) is one of the main factors to increasing corn yield. Past research showed that N fertilizer application rates were strongly related to corn yield. The objective of this study was to estimate N fertilizer recommendations with EONR for waxy corn (Zea mays var. ceratina) using NDVI derived from canopy reflectance and images taken by a multispectral camera as a passive sensor mounted on unmanned aerial vehicle (UAV). Three site-years experiments were conducted during two consecutive dry seasons in 2017/18 and 2018/19 at Ban Nong Bua, Nong Bua District, Khon Kaen, Thailand. The experiments were laid out according to randomized complete block design (RCBD) with two replications. Treatments consisted of nine N rates in all site-years; 0, 50, 56.25, 112.50, 125, 168.75, 200, 225 and 281.25 kg N ha-1. The EONR and N fertilizer rates were determined by fitting quadratic plateau regression models for each whole plot treatment at each site. The relationship between relative NDVI and temporal data of EONR was evaluated to provide N fertilizer recommendation. The EONR was strongly related to relative NDVI (R2= 0.7492). The result presented here suggests that the reflectance data collected with the camera as a passive sensor mounted on UAV has the potential to be a useful tool for N fertilizer recommendation for waxy corn under a variety of management systems and conditions found in Northeastern Thailand.

本文言語English
ページ(範囲)73-86
ページ数14
ジャーナルInternational Journal of Geoinformatics
16
3
出版ステータスPublished - 2020

ASJC Scopus subject areas

  • 地理、計画および開発
  • 器械工学
  • 地球惑星科学(その他)

フィンガープリント

「Nitrogen fertilizer recommendation for waxy corn measured by canopy reflectance using UAV imaging passive sensor」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル