Use of consumer-grade cameras to assess wheat N status and grain yield
暂无分享,去创建一个
[1] Andrea Cavallaro,et al. Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing , 2015, Remote. Sens..
[2] C. Tucker,et al. Remote Sensing of Total Dry-Matter Accumulation in Winter Wheat , 1981 .
[3] E. Justes,et al. Determination of a Critical Nitrogen Dilution Curve for Winter Wheat Crops , 1994 .
[4] J. Passioura,et al. Review: Environmental biology and crop improvement. , 2002, Functional plant biology : FPB.
[5] A. Gitelson,et al. Spectral reflectance changes associated with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral features and relation to chlorophyll estimation , 1994 .
[6] O. Vergara,et al. Comparative performance of remote sensing methods in assessing wheat performance under Mediterranean conditions , 2016 .
[7] L. López-Bellido,et al. Effects of tillage, crop rotation and nitrogen fertilization on wheat-grain quality grown under rainfed Mediterranean conditions , 1998 .
[8] Frédéric Baret,et al. Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots , 2008, Sensors.
[9] E. Justes,et al. Relationship Between the Normalized SPAD Index and the Nitrogen Nutrition Index: Application to Durum Wheat , 2006 .
[10] Bruno Basso,et al. Variable rate nitrogen fertilizer response in wheat using remote sensing , 2015, Precision Agriculture.
[11] P. Zarco-Tejada,et al. A Novel Remote Sensing Approach for Prediction of Maize Yield Under Different Conditions of Nitrogen Fertilization , 2016, Front. Plant Sci..
[12] John A. Gamon,et al. Assessing leaf pigment content and activity with a reflectometer , 1999 .
[13] Edward J. Milton. Low-cost ground-based digital infra-red photography , 2002 .
[14] J. L. Gabriel,et al. Airborne and ground level sensors for monitoring nitrogen status in a maize crop , 2017 .
[15] Gustavo A. Slafer,et al. Wheat productivity in the Mediterranean Ebro Valley: Analyzing the gap between attainable and potential yield with a simulation model , 2008 .
[16] J. Casadesús,et al. Conventional digital cameras as a tool for assessing leaf area index and biomass for cereal breeding. , 2014, Journal of integrative plant biology.
[17] J Laraus,et al. The problems of sustainable water use in the Mediterranean and research requirements for agriculture. , 2004 .
[18] Avinash C. Pandey,et al. Nitric Oxide Ameliorates Zinc Oxide Nanoparticles Phytotoxicity in Wheat Seedlings: Implication of the Ascorbate–Glutathione Cycle , 2017, Front. Plant Sci..
[19] Georg Bareth,et al. COMPARISON OF UNCALIBRATED RGBVI WITH SPECTROMETER-BASED NDVI DERIVED FROM UAV SENSING SYSTEMS ON FIELD SCALE , 2016 .
[20] Noboru Noguchi,et al. Monitoring of Wheat Growth Status and Mapping of Wheat Yield's within-Field Spatial Variations Using Color Images Acquired from UAV-camera System , 2017, Remote. Sens..
[21] Michael Pflanz,et al. Monitoring Agronomic Parameters of Winter Wheat Crops with Low-Cost UAV Imagery , 2016, Remote. Sens..
[22] D. Horler,et al. The red edge of plant leaf reflectance , 1983 .
[23] L. López-Bellido,et al. Durum wheat quality under Mediterranean conditions as affected by N rate, timing and splitting, N form and S fertilization , 2005 .
[24] John R. Miller,et al. Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture , 2002 .
[25] Craig S. T. Daughtry,et al. Remote Sensing With Simulated Unmanned Aircraft Imagery for Precision Agriculture Applications , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[26] M. Corbellini,et al. Effects of Mediterranean climate on wheat bread-making quality , 1997 .
[27] A. Gitelson,et al. Novel algorithms for remote estimation of vegetation fraction , 2002 .
[28] D. Sims,et al. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages , 2002 .
[29] B. Yoder,et al. Predicting nitrogen and chlorophyll content and concentrations from reflectance spectra (400–2500 nm) at leaf and canopy scales , 1995 .
[30] Peeyush Soni,et al. Enhanced broadband greenness in assessing Chlorophyll a and b, Carotenoid, and Nitrogen in Robusta coffee plantations using a digital camera , 2018, Precision Agriculture.
[31] Pablo J. Zarco-Tejada,et al. Multi-Temporal and Spectral Analysis of High-Resolution Hyperspectral Airborne Imagery for Precision Agriculture: Assessment of Wheat Grain Yield and Grain Protein Content , 2018, Remote. Sens..
[32] Liwei Sun,et al. Proteomic Analyses Provide Novel Insights into Plant Growth and Ginsenoside Biosynthesis in Forest Cultivated Panax ginseng (F. Ginseng) , 2016, Front. Plant Sci..
[33] S. Poni,et al. Transcriptional Responses to Pre-flowering Leaf Defoliation in Grapevine Berry from Different Growing Sites, Years, and Genotypes , 2017, Front. Plant Sci..
[34] J. Ritchie,et al. Long-term wheat response to nitrogen in a rainfed Mediterranean environment: field data and simulation analysis. , 2010 .
[35] G. Bareth,et al. USING CALIBRATED RGB IMAGERY FROM LOW-COST UAVS FOR GRASSLAND MONITORING: CASE STUDY AT THE RENGEN GRASSLAND EXPERIMENT (RGE), GERMANY , 2017 .
[36] Achim Walter,et al. Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach , 2015, Plant Methods.
[37] Chenghai Yang,et al. Evaluation of an Airborne Remote Sensing Platform Consisting of Two Consumer-Grade Cameras for Crop Identification , 2016, Remote. Sens..
[38] Clement Atzberger,et al. Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs , 2013, Remote. Sens..
[39] F. B. Dyck,et al. Nitrogen Management for Spring Wheat Grown Annually on Zero‐Tillage: Yields and Nitrogen Use Efficiency , 1993 .
[40] M. Jeuffroy,et al. Diagnosis tool for plant and crop N status in vegetative stage Theory and practices for crop N management , 2008 .
[41] Craig S. T. Daughtry,et al. A visible band index for remote sensing leaf chlorophyll content at the canopy scale , 2013, Int. J. Appl. Earth Obs. Geoinformation.
[42] M. D. Steven,et al. Applications of Remote Sensing in Agriculture , 2011 .
[43] Josep Peñuelas,et al. Evaluating Wheat Nitrogen Status with Canopy Reflectance Indices and Discriminant Analysis , 1995 .
[44] Miguel Quemada,et al. Evaluation of chlorophyll meters as tools for N fertilization in winter wheat under humid Mediterranean conditions , 2006 .
[45] C. Daughtry,et al. Evaluation of Digital Photography from Model Aircraft for Remote Sensing of Crop Biomass and Nitrogen Status , 2005, Precision Agriculture.
[46] Pablo J. Zarco-Tejada,et al. Airborne Hyperspectral Images and Ground-Level Optical Sensors As Assessment Tools for Maize Nitrogen Fertilization , 2014, Remote. Sens..
[47] Craig S. T. Daughtry,et al. Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring , 2010, Remote. Sens..
[48] A. Johnston,et al. Environment and genotype influence on grain protein concentration of wheat and rye. , 1990 .
[49] Clement Atzberger,et al. Correction: Atzberger, C. Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs. Remote Sens 2013, 5, 949-981 , 2013, Remote. Sens..
[50] J. Peñuelas,et al. Remote sensing of biomass and yield of winter wheat under different nitrogen supplies , 2000 .
[51] R. D. Ramsey,et al. Canopy Reflectance Estimation of Wheat Nitrogen Content for Grain Protein Management , 2004 .
[52] Yogan Monnier,et al. The Impact of Competition and Allelopathy on the Trade-Off between Plant Defense and Growth in Two Contrasting Tree Species , 2016, Front. Plant Sci..
[53] A. Gitelson,et al. Use of a green channel in remote sensing of global vegetation from EOS- MODIS , 1996 .
[54] J. A. Schell,et al. Monitoring vegetation systems in the great plains with ERTS , 1973 .
[55] E. Simón,et al. Radiometric characteristics of Triticum aestivum cv, Astral under water and nitrogen stress , 1994 .
[56] C. Jordan. Derivation of leaf-area index from quality of light on the forest floor , 1969 .
[57] F. M. Danson,et al. 14 – HIGH-SPECTRAL RESOLUTION INDICES FOR CROP STRESS , 1990 .
[58] F. Celette,et al. Agroecological practices for sustainable agriculture. A review , 2013, Agronomy for Sustainable Development.
[59] A. Gitelson,et al. Application of Spectral Remote Sensing for Agronomic Decisions , 2008 .
[60] Charlie Walker,et al. Estimating the nitrogen status of crops using a digital camera , 2010 .
[61] G. Menexes,et al. Assessment of Vegetation Indices Derived by UAV Imagery for Durum Wheat Phenotyping under a Water Limited and Heat Stressed Mediterranean Environment , 2017, Front. Plant Sci..
[62] J. Zadoks. A decimal code for the growth stages of cereals , 1974 .
[63] Andrew D. Richardson,et al. An evaluation of noninvasive methods to estimate foliar chlorophyll content , 2002 .