Use of a digital camera as alternative method for non-destructive detection of the leaf chlorophyll content and the nitrogen nutrition status in wheat
暂无分享,去创建一个
Jörg Peter Baresel | Pablo Rischbeck | Yuncai Hu | Sebastian Kipp | Gero Barmeier | Bodo Mistele | Urs Schmidhalter | B. Mistele | Yuncai Hu | U. Schmidhalter | P. Rischbeck | Sebastian Kipp | Gero Barmeier | J. P. Baresel
[1] Bülent Sankur,et al. Survey over image thresholding techniques and quantitative performance evaluation , 2004, J. Electronic Imaging.
[2] U. Schmidhalter. Development of a quick on-farm test to determine nitrate levels in soil , 2005 .
[3] Fei Li,et al. Reflectance estimation of canopy nitrogen content in winter wheat using optimised hyperspectral spectral indices and partial least squares regression , 2014 .
[4] J. Vollmann,et al. Original paper: Digital image analysis and chlorophyll metering for phenotyping the effects of nodulation in soybean , 2011 .
[5] Humberto Bustince,et al. New method to assess barley nitrogen nutrition status based on image colour analysis , 2009 .
[6] Troy Jensen,et al. Detecting the attributes of a wheat crop using digital imagery acquired from a low-altitude platform , 2007 .
[7] Robert D. Berryman,et al. Point Sampling Digital Imagery with ‘Samplepoint’ , 2006, Environmental monitoring and assessment.
[8] Pierre Gouton,et al. Texture or Color Analysis in Agronomic Images for Wheat Ear Counting , 2007, 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System.
[9] R. Fisher. FREQUENCY DISTRIBUTION OF THE VALUES OF THE CORRELATION COEFFIENTS IN SAMPLES FROM AN INDEFINITELY LARGE POPU;ATION , 1915 .
[10] J. Schellberg,et al. Identification of broad-leaved dock (Rumex obtusifolius L.) on grassland by means of digital image processing , 2006, Precision Agriculture.
[11] Sebastian Kipp,et al. High-throughput phenotyping early plant vigour of winter wheat , 2014 .
[12] P. A. Moghaddam,et al. A new method in assessing sugar beet leaf nitrogen status through color image processing and artificial neural network. , 2010 .
[13] J. E. Diaz-Lago,et al. Evaluation of Components of Partial Resistance to Oat Crown Rust Using Digital Image Analysis. , 2003, Plant disease.
[14] B. Niemira,et al. Foliar and tuber assessment of late blight (Phytophthora infestans (Mont.) de Bary) reaction in cultivated potato (Solanum tuberosum L.) , 2002, Potato Research.
[15] Michael Wachendorf,et al. Determining the Contribution of Legumes in Legume–Grass Mixtures Using Digital Image Analysis , 2009 .
[16] B. Mistele,et al. Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars , 2011 .
[17] X. Yue,et al. Green Window Approach for improving nitrogen management by farmers in small-scale wheat fields , 2014, The Journal of Agricultural Science.
[18] A. Rango,et al. An object-based image analysis approach for determining fractional cover of senescent and green vegetation with digital plot photography , 2007 .
[19] Helge Bonesmo *,et al. Evaluating an image analysis system for mapping white clover pastures , 2004 .
[20] George E. Meyer,et al. Shape features for identifying young weeds using image analysis , 1994 .
[21] J. A. Schell,et al. Monitoring vegetation systems in the great plains with ERTS , 1973 .
[22] Marian Wiwart,et al. Early diagnostics of macronutrient deficiencies in three legume species by color image analysis , 2009 .
[23] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[24] K. Okumura,et al. Estimation of clover biomass and percentage in a performance trial of white clover-timothy binary mixtures : Use of multiple regression equations incorporating plant cover measured with the grid-point plate , 2010 .
[25] Bodo Mistele,et al. Tractor‐Based Quadrilateral Spectral Reflectance Measurements to Detect Biomass and Total Aerial Nitrogen in Winter Wheat , 2010 .
[26] H. Pleijel,et al. Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter readings , 2007, Photosynthesis Research.
[27] Fei Li,et al. Comparing hyperspectral index optimization algorithms to estimate aerial N uptake using multi-temporal winter wheat datasets from contrasting climatic and geographic zones in China and Germany , 2013 .
[28] J. L. Araus,et al. Using vegetation indices derived from conventional digital cameras as selection criteria for wheat breeding in water-limited environments , 2007 .
[29] B. Mistele,et al. Identification of stay-green and early senescence phenotypes in high-yielding winter wheat, and their relationship to grain yield and grain protein concentration using high-throughput phenotyping techniques. , 2014, Functional plant biology : FPB.
[30] Clive H. Bock,et al. Plant Disease Severity Estimated Visually, by Digital Photography and Image Analysis, and by Hyperspectral Imaging , 2010 .