Молимо вас користите овај идентификатор за цитирање или овај линк до ове ставке:
https://open.uns.ac.rs/handle/123456789/2982
Назив: | Portfolio optimization for seed selection in diverse weather scenarios | Аутори: | Marko, Oskar Brdar, Sanja Panić, Marko Šašić, Isidora Despotović, Danica Knežević, Milivoje Crnojević, Vladimir |
Датум издавања: | сеп-2017 | Часопис: | PLoS ONE | Сажетак: | © 2017 Marko et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The aim of this work was to develop a method for selection of optimal soybean varieties for the American Midwest using data analytics. We extracted the knowledge about 174 varieties from the dataset, which contained information about weather, soil, yield and regional statistical parameters. Next, we predicted the yield of each variety in each of 6,490 observed subregions of the Midwest. Furthermore, yield was predicted for all the possible weather scenarios approximated by 15 historical weather instances contained in the dataset. Using predicted yields and covariance between varieties through different weather scenarios, we performed portfolio optimisation. In this way, for each subregion, we obtained a selection of varieties, that proved superior to others in terms of the amount and stability of yield. According to the rules of Syngenta Crop Challenge, for which this research was conducted, we aggregated the results across all subregions and selected up to five soybean varieties that should be distributed across the network of seed retailers. The work presented in this paper was the winning solution for Syngenta Crop Challenge 2017. | URI: | https://open.uns.ac.rs/handle/123456789/2982 | ISSN: | 1932-6203 | DOI: | 10.1371/journal.pone.0184198 |
Налази се у колекцијама: | IBS Publikacije/Publications |
Приказати целокупан запис ставки
SCOPUSTM
Навођења
17
проверено 10.05.2024.
Преглед/и станица
75
Протекла недеља
51
51
Протекли месец
4
4
проверено 03.05.2024.
Google ScholarTM
Проверите
Алт метрика
Ставке на DSpace-у су заштићене ауторским правима, са свим правима задржаним, осим ако није другачије назначено.