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Effectiveness of Chlorophyll Meter Measurement in Winter Wheat at Field Scale Level

. Monitoring leaf nitrogen status with hy-perspectral reflectance in wheat. In European Journal of Agronomy , vol. 28 , no. 3, pp. 394‒404. DOI: 10.1016/j.eja.2007.11.005. HAN, Y.L.M.J.L.Z.X.Z.F. 2005. Estimating growth status of winter wheat based on aerial images and hyperspectral data. In ANDREW, G. TESCHER (Ed.) Applications of Digital Image Processing XX-VII : Proceedings of the SPIE 5909 , pp. 568‒576. DOI: 10.1117/12.615717. LI, F. ‒ MIAO, Y. ‒ HENNIG, S.D. ‒ GNYP, M.L. ‒ CHEN, X. ‒ JIA, L. ‒ BARETH, G. 2010. Evaluating hyperspectral vegetation indices for

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Determination of the Optimal Nitrogen Content in a Fertigation Medium for the Greenhouse Cucumber Grown on Slabs of Compressed Straw

., Olympios C.M., Passam H.C. 2005. Effects of nitrogen form and concentration on yield and quality of cucumbers grown on rockwool during spring and winter in southern Greece. Journal of Plant Nutrition 28 (11): 2027-2035. Kowalczyk W., Dyśko J. 2006. [Nitrogen status of greenhouse tomato plants grown in rye straw slabs.] Acta Agrophysica 7(4): 959-967. [in Polish with English summary] Nurzyński J. 2006. [Yielding and chemical composition of greenhouse tomato grown in ecological substrates.] Acta Agrophysica 7

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Effect of Nitration of Organic Materials on Nitrogen Availability and Yield of Tomato in Soilless Culture

-126. Hardgrave M., Harriman M. 1995. Development of organic substrates for hydroponic cucumber production. Acta Hort. 401: 219-224. Jackson B. E., Wright R. D. 2007. Pine tree substrate: an alternative and renewable substrate for horticultural crop production. Acta Hort. 819: 265-272. Kowalczyk W., Dyśko J. 2006. [Nitrogen status of greenhouse tomato plants grown in rye straw slabs]. Acta Agrophysica 7(4): 959-967. [in Polish with English summary] Muro J., Irigoyen I., Samitier P., Mazuela P., Sales

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Changes in Vertical Distribution of Spectral Reflectance within Spring Barley Canopy as an Indicator of Nitrogen Nutrition, Canopy Structure and Yield Parameters

, pp. 267–279. DOI: 10.1007/s00442-002-1042-1. LICHTENTHALER, H.K. 1987. Chlorophylls and carot-enoids: Pigments of photosynthetic biomembranes. In Methods in Enzymology , vol. 148 , pp. 350–382. DOI: 10.1016/0076-6879(87)48036-1. LIZASO, J.I. – BATCHELOR, W.D. –WESTGATE, M.E. 2003. Aleafareamodeltosimulatecultivar-specific expansion and senescence of maize leaves. In Field Crops Research , vol. 80 , pp 1–17. DOI: 10.1016/S0378-4290(02)00151-X. LÖTSCHER, M. –STROH, K. –SCHNYDER, H. 2003. Vertical leaf nitrogen distribution in relation to nitrogen status in

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Influence of Nitrogen on Potato Productivity and Nutrient Use Efficiency

nitrogen status assessment to improve N fertilization management and efficiency: Past - present - future. Potato Res. , 51 , 355-383. Ierna, A., Pandino, G., Lombardo, S., Mauromicale, G. (2011). Tuber yield, water and fertilizer productivity in early potato as affected by a combination of irrigation and fertilization. Agr. Water Manag. , 101 , 35-41. Kumar, P., Pandey, S. K., Singh, B. P., Singh, S. V., Kumar, D. (2007) Effect of nitrogen rate on growth, yield, economics and crisps quality of Indian potato processing cultivars

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Modelling and Mapping of Critical Loads of Acidification and Eutrophication on Forest Ecosystems in Latvia

, 2000, N 8, p. 65-93. Aber, J. D., Goodale, C. L., Ollinger, S. V. , et al. Is nitrogen deposition altering the nitrogen status of North-eastern forests? BioScience , 2003, vol. 4, N 53, p. 375-389. Galloway, J. N., Aber, J. D., Erisman, J. W. , et al. The Nitrogen Cascade. BioScience , 2003, vol. 4, N 53, p. 341-356. Matson, P., Lohse, K. A., Hall, S. J. The globalization of nitrogen deposition: consequences for terrestrial ecosystems. Ambio , 2003, vol. 2, N 31, p. 113

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The Possibility of Using Digital Images in Assessment of Plant Canopy Development and Weed Spread

. – BLOOM, A. J. 2014. Easy Leaf Area: Automated digital image analysis for rapid and accurate measurement of leaf area. In Applications in Plant Sciences, vol. 2, no 7, pp. 1–4. doi: 10.3732/apps.1400033 ERDLE, K. – MISTEL, B. – SCHMIDHALTER, U. 2011. Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars. In Field Crops Res., vol. 124, no. 1, pp. 74–78. ISSN 0378-4290. GOLZARIAN, M.R. – FRICK, R.A. – RAJENDRAN, K. – BERGER, B. – ROY, S. – TESTER, M. – LUN, D.S. 2011. Accurate inference of

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Influence of nitrogen fertilisation on biometric features of two-year-old seedlings of pedunculate oak subjected for root pruning

R eferences Berger T. W., Glatzel G. 2001. Response of Quercus petraea seedlings to nitrogen fertilization. Forest Ecology and Management , 149 (1), 1–14. Buraczyk W., Drozdowski S., Szeligowski H., Gawron L., Karpiuk M. 2011. Influence of root system shortening of two-year-old seedlings of Norway spruce ( Picea abies L. Karst.) on their growth after planting (in Polish with English summary). Sylwan , 155 (7), 482–492. Coker A. 1984. Nitrogen status of Pinus radiata seedlings after undercutting: changes in total, soluble, and insoluble

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Error simulations of uncorrected NDVI and DCVI during remote sensing measurements from UAS

2005, ‘Evaluation of digital photography from model aircraft for remote sensing of crop biomass and nitrogen status’, Precision Agriculture, vol. 6, pp. 359-37. Ichii, K, Matsui, Y, Yamaguchi, Y & Ogawa, K 2001, ‘Comparison of global net primary production trends obtained from satellite based normalized difference vegetation index and carbon cycle model’, Global Biogeochem, Cycles, vol. 15, pp. 351-364. Kylling, A & Stamnes, K 1992, ‘Effcient yet accurate solution of the linear transport equation in the presence of internal sources

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Sensitivity of vegetation indices in relation to parameters of Norway spruce stands

References Barnes E., Clarke T., Richards S., Collaizzi P., Haberland J., Kostrzewski M., Waller P., Choi C., Riley E., Tompson T., Lascano R., Li H., Moran M. 2000. Coincident detection of crop water stress, nitrogen status and canopy density using groundbased multispectral data. Proceedings of the 5th International Conference on Precision Agriculture, Bloomington, MN, USA (Madison, WI: ASACSSA-SSSA). Buschmann C., Nagel E. 1993. In vivo spectroscopy and internal optics of leaves as basis for remote sens ing of vegetation

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