Pregled bibliografske jedinice broj: 1012428
Relative Soil Suitability Assessment (R.S.S.A.) Model for Crops
Relative Soil Suitability Assessment (R.S.S.A.) Model for Crops // Book of Abstracts 5th PannEx Workshop, 3-5 June 2019, Novi Sad, Serbia / Jug, Danijel ; Güttler, Ivan (ur.).
Novi Sad: Fakultet agrobiotehničkih znanosti Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2019. str. 37-37 (predavanje, međunarodna recenzija, sažetak, znanstveni)
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Naslov
Relative Soil Suitability Assessment (R.S.S.A.)
Model for Crops
Autori
Đurđević, Boris ; Jug, Irena ; Jug, Danijel ; Brozović, Bojana ; Vukadinović, Vesna ; Ceglar, Andrej
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of Abstracts 5th PannEx Workshop, 3-5 June 2019, Novi Sad, Serbia
/ Jug, Danijel ; Güttler, Ivan - Novi Sad : Fakultet agrobiotehničkih znanosti Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2019, 37-37
ISBN
978-953-7871-85-7
Skup
5th PannEx Workshop: Building PannEx Task Teams to address environmental needs in the Pannonian basin
Mjesto i datum
Novi Sad, Srbija, 03.06.2019. - 05.06.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
soil suitability ; model ; R.S.S.A ; crops
Sažetak
During the seven-year period of research, 13, 085 samples of soil have been collected in East Croatia. Using the gained soil information, eight indicators which influence relative soils suitability assessment for crops have been singled out. While taking into account the natural laws of selected indicators and, an expert model which describes every indicator via functions has been created. The model was conceived as a tool that could be changed very easily, that is, adapted to various crops and agroecological conditions. Minimal estimated relative soil suitability assessment by Relative Soil Suitability Assessment (R.S.S.A.) model was 34.4%, and maximal was 95.2%. The largest sample number, 7, 768 of them, was located in the moderately suitable class. On the example of Osijek- Baranja County, the model has proved itself to be precise in comparison to the real situation in the field. Also, by implementing the geostatistical method of kriging, a prediction of the production area has been done, and with the maps that have been created through this method, we can easily use to detect problematic agricultural areas.
Izvorni jezik
Engleski
Znanstvena područja
Poljoprivreda (agronomija)
POVEZANOST RADA
Ustanove:
Fakultet agrobiotehničkih znanosti Osijek
Profili:
Irena Jug
(autor)
Boris Đurđević
(autor)
Vesna Vukadinović
(autor)
Bojana Brozović
(autor)
Danijel Jug
(autor)