Attempt at an application of neural networks for assessment of the nitrogen content in meadow sward on the basis of long-term fertilizer experiments


Wydanie: 1 / 2015

Autorzy:

  • Kopeć M., Gondek K.

Kategorie: Agricultural

DOI: 10.5601/jelem.2014.19.1.574

Abstrakt:

On the basis of long-term fertilizer experiment, conducted since 1968, an attempt was made to verify the nitrogen content with the use of a neural network, in terms of yields from subsequent cuts. The experiment is located at Czarny Potok village near Krynica (20o54”E; 49o24”N) on the altitude of about 720 m a.s.l., at the foot of Jaworzyna Krynicka Mt., in the south-eastern Beskid Sądecki mountain range, on a slope with 7o inclination and NNE aspect. The experiment was set up in 1968 on a natural type of mountain meadow of mat-grass (Nardusstricta L.) and red fescue (Festucarubra L.) with a large share of dicotyledonous plants. The soil was classified to acid brown soils developed from the Magura sandstone with the texture of light silt loam. Since autumn 1985, the experiment has been conducted in two series, with the same level of fertilization: without liming (0 Ca) and limed (+Ca). Liming was repeated in 1995. The first liming was conducted with a dose calculated on the basis of 0.5 Hh value, the second one was established according to the total hydrolytic acidity. Mineral fertilization was discontinued in 1974 - 1975 and in 1993 – 1994, when the experiment was limited to an assessment of the sward yield and its chemical composition. The experiment comprises 8 treatments with five replications, receiving either nitrogen or phosphorus fertilization (90 kg N or 39.24 kg P∙ha-1) and (39.24 kg P∙ha-1 and 124.5 kg K2O∙ha-1) against the PK background, nitrogen in two forms (ammonium nitrate and urea) and two doses (90 and 180 N∙ha-1). In 1968-1980, phosphorous and potassium fertilizers were sown in autumn and since 1981 - in spring. However, potassium (1/2 of the dose) was supplemented in summer after I cut. In 1968 – 1973, thermophosphate was applied, but triple superphosphate has been used since 1976. Over the whole period of the experiment, nitrogen fertilizers have been sown at two dates: 2/3 of the annual dose in the spring at the onset of plant growth and 1/3 of the dose several days after the first cut. A single regenerative treatment with copper (10 kg∙kg-1) and magnesium (8 kg∙ha-1) was applied once in 1994. Foliar nutrition (2 dm3∙ha-1 applied twice) with the microelement fertilizer Mikrovit -1 has been used since 2000. The microelement fertilizer contains (per 1 dm3): 23.3 g Mg; 2.3 g Fe; 2.5 g Cu; 2.7 g Mn; 1.8 g Zn; 0.15 g B and 0.1 g Mo. The model was compared with a regression analysis. Statistical analysis was applied for two data sets: the whole data set, i.e. 43 years and 8 treatments, 2 cuts and 2 series – data of the 1st set (n = 1376), and a narrow data set, comprising  exclusively fertilization 90 kg N . ha-1, irrespective of the form against the background of PK – 43 years and 2 objects, 2 cuts and 2 series – data of the 2nd set (n = 344). A neural network can be applied in the assessment of the nitrogen content on the basis of yield including subsequent years of nitrogen fertilization and cuts. Neural networks including quantitative and qualitative features are useful for modelling the element content.

Cytacja:

Kopeć M., Gondek K. 2015. Attempt at neural networks application for assessment of nitrogen content in meadow sward on the basis of long-term fertilizer experiments. J. Elem., 20(1): 127 -136, DOI: 10.5601/jelem.2014.19.1.574

Słowa kluczowe:

neural networks, nitrogen, sword


O wydaniu:

20.1.2015


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