Identification and quantification of potassium (K+) deficiency in maize plants using an unmanned aerial vehicle and visible / near-infrared semi-professional digital camera

Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers

(2017) Hongyan Zhu et al.   Scientific Reports

Monitoring of Wheat Growth Status and Mapping of Wheat Yield’s within-Field Spatial Variations Using Color Images Acquired from UAV-camera System

(2017) Mengmeng Du et al.   Remote Sensing

Semi professional digital camera calibration techniques for Vis/NIR spectral data acquisition from an unmanned aerial vehicle

(2016) Luís Guilherme Teixeira Crusiol et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Unmanned aerial vehicle canopy reflectance data detects potassium deficiency and green peach aphid susceptibility in canola

(2016) Dustin Severtson et al.   PRECISION AGRICULTURE

Nondestructive and intuitive determination of circadian chlorophyll rhythms in soybean leaves using multispectral imaging

(2015) Wen-Juan Pan et al.   Scientific Reports

Unmanned aerial systems for photogrammetry and remote sensing: A review

(2014) I. Colomina et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Identification of Nitrogen, Phosphorus, and Potassium Deficiencies in Rice Based on Static Scanning Technology and Hierarchical Identification Method

(2014) Lisu Chen et al.   PLoS One

Using hyperspectral remote sensing techniques to monitor nitrogen, phosphorus, sulphur and potassium in wheat (Triticum aestivum L.)

(2014) G. R. Mahajan et al.   PRECISION AGRICULTURE

Vicarious Radiometric Calibration of a Multispectral Camera on Board an Unmanned Aerial System

(2014) Susana Del Pozo et al.   Remote Sensing

A Review of Methods for Sensing the Nitrogen Status in Plants: Advantages, Disadvantages and Recent Advances

(2013) Rafael Muñoz-Huerta et al.   SENSORS

Unmanned Aircraft Systems in Remote Sensing and Scientific Research: Classification and Considerations of Use

(2012) Adam C. Watts et al.   Remote Sensing

Effect of agricultural land use changes on soil nutrient use efficiency in an agricultural area, Beijing, China

(2011) Liding Chen et al.   Chinese Geographical Science

Use of ground based hyperspectral remote sensing for detection of stress in cotton caused by leafhopper (Hemiptera: Cicadellidae)

(2011) M. Prabhakar et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Exploring remotely sensed technologies for monitoring wheat potassium and phosphorus using field spectroscopy

(2011) Agustin Pimstein et al.   FIELD CROPS RESEARCH

Potential for spectral indices to remotely sense phosphorus and potassium content of legume-based pasture as a means of assessing soil phosphorus and potassium fertility status

(2011) K. Kawamura et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Assessing newly developed and published vegetation indices for estimating rice leaf nitrogen concentration with ground- and space-based hyperspectral reflectance

(2010) Y.C. Tian et al.   FIELD CROPS RESEARCH

Evaluating hyperspectral vegetation indices for estimating nitrogen concentration of winter wheat at different growth stages

(2010) Fei Li et al.   PRECISION AGRICULTURE

Digital Airborne Photogrammetry—A New Tool for Quantitative Remote Sensing?—A State-of-the-Art Review On Radiometric Aspects of Digital Photogrammetric Images

(2009) Eija Honkavaara et al.   Remote Sensing

Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots

(2008) Camille Lelong et al.   SENSORS

Use of Reflectance Measurements for the Detection of N, P, K, ADF and NDF Contents in Sainfoin Pasture

(2008) Sebahattin Albayrak   SENSORS