Quantification of rice canopy nitrogen balance index with digital imagery from unmanned aerial vehicle

Assessment of rice leaf chlorophyll content using visible bands at different growth stages at both the leaf and canopy scale

(2014) M.M. Saberioon et al.   International Journal of Applied Earth Observation and Geoinformation

Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging

(2014) Juliane Bendig et al.   Remote Sensing

Use of fluorescence-based sensors to determine the nitrogen status of paddy rice

(2013) J. W. LI et al.   JOURNAL OF AGRICULTURAL SCIENCE

Costs of Defense and a Test of the Carbon-Nutrient Balance and Growth-Differentiation Balance Hypotheses for Two Co-Occurring Classes of Plant Defense

(2012) Tara Joy Massad et al.   PLoS One

The application of small unmanned aerial systems for precision agriculture: a review

(2012) Chunhua Zhang et al.   PRECISION AGRICULTURE

Sensing crop nitrogen status with fluorescence indicators. A review

(2011) Nicolas Tremblay et al.   Agronomy for Sustainable Development

Non-Destructive Optical Monitoring of Grape Maturation by Proximal Sensing

(2010) Naïma Ben Ghozlen et al.   SENSORS

Investigation of SPAD meter-based indices for estimating rice nitrogen status

(2009) Fen Fang Lin et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Determination of optimal nitrogen rate for rice varieties using a chlorophyll meter

(2007) Jianliang Huang et al.   FIELD CROPS RESEARCH