Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi

Relative Soil Suitability Assessment (R.S.S.A.) Model for Crops (CROSBI ID 678948)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija

Đurđević, Boris ; Jug, Irena ; Jug, Danijel ; Brozović, Bojana ; Vukadinović, Vesna ; Ceglar, Andrej 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

Podaci o odgovornosti

Đurđević, Boris ; Jug, Irena ; Jug, Danijel ; Brozović, Bojana ; Vukadinović, Vesna ; Ceglar, Andrej

engleski

Relative Soil Suitability Assessment (R.S.S.A.) Model for Crops

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.

soil suitability; model; R.S.S.A; crops

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

37-37.

2019.

objavljeno

Podaci o matičnoj publikaciji

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

978-953-7871-85-7

Podaci o skupu

5th PannEx Workshop: Building PannEx Task Teams to address environmental needs in the Pannonian basin

predavanje

03.06.2019-05.06.2019

Novi Sad, Srbija

Povezanost rada

Poljoprivreda (agronomija)