Abstract
There were presented possibilities and limits of applications of Decision Support Systems (DSS) in the scope of farm machinery selection in agricultural enterprises. The proposed solutions of Artificial Intelligence class made it possible to more effectively prepare decisions of managers often using still not the most innovative manufacturing methods and not outstanding information systems. It is possible thanks to applied knowledge base acquisition and verification procedures and standardized data bases in the system named: “Method of Farm Machinery Usage Evaluation (MOWM).”
References
Bojar W., 2005. Studium wyboru maszyn w gospodarstwach rolniczych w świetle rozwoju systemów wspomagania decyzji. Rozprawy, 114. ATR w Bydgoszczy.
Bojar W., 2006. Unification of the data and the knowledge bases at national and the EU level being a challenge facing agriculture in the knowledge societies. [In:] The Conference Proceedings on Information Technology in Business, Warsaw Agric. Univ., Dep. of Econometrics and Computer Science.
Pawlak J., Wójcicki Z., 2004. Rola postępu technicznego w rozwoju produkcji rolniczej. Post. Nauk Roln. 3, 81–95.
Szeptycki A., Wójcicki Z., 2003. Postęp technologiczny i nakłady energetyczne w rolnictwie. IBMER Warszawa.
Wójcicki Z., 2000. Wyposażenie techniczne i nakłady materiałowo-energetyczne w rozwojowych gospodarstwach rolniczych. IBMER Warszawa.
Wójcicki Z., 2003. Modernizacja rozwojowych gospodarstw rodzinnych. Prace Nauk. AE we Wrocławiu 983, 537, 541, 543.
Downloads
Download data is not yet available.
-
Marianna Warda,
Maciej Rogalski,
Grazing animals as an element of natural landscape
,
Agronomy Science: Vol. 59 No. 4 (2004)
-
Leszek Rachoń,
Aneta Bobryk-Mamczarz,
Anna Kiełtyka-Dadasiewicz,
Andrzej Woźniak,
Zbigniew Stojek,
Paulina Zajdel-Stępień,
Yielding and quality of selected species and cultivars of pasta wheat. Part I. Yielding
,
Agronomy Science: Vol. 77 No. 1 (2022)
-
Magdalena Serafin-Andrzejewska,
Wiesław Wojciechowski,
Marie Pichová ,
Prof. dr hab. Marcin Kozak,
Profitability of growing field beans Vicia faba var. minor L. for seeds depending on the application of symbiotic bacteria
,
Agronomy Science: Vol. 79 No. 4 (2024)
-
ANETA KRAMEK,
WANDA KOCIUBA,
Characteristics of Mexican genotypes of spring triticale regarding the major yielding traits
,
Agronomy Science: Vol. 68 No. 3 (2013)
-
AGNIESZKA KOMOR,
BARBARA BUJANOWICZ-HARAŚ,
Waste from the agricultural sector in the European Union countries in the context of the bioeconomy development
,
Agronomy Science: Vol. 74 No. 4 (2019)
-
Petr Šařec,
Ondřej Šařec,
Katarzyna Gil,
Field trials on grain maize cultivation technologies in 2004, 2005 and 2006
,
Agronomy Science: Vol. 63 No. 2 (2008)
-
Stanisław Włodek,
Andrzej Biskupski,
Jan Pabin,
Model studies on the influence of soil compaction on water balance in the arable layer
,
Agronomy Science: Vol. 59 No. 2 (2004)
-
Adam Radkowski,
Beata Grygierzec,
Losses of total protein and net lactation energy as dependent on preservation technology of forages from mountain grassland
,
Agronomy Science: Vol. 59 No. 3 (2004)
-
Viktor Kaminskyi,
Dmytro Sokyrko,
Volodymyr Hanhur,
Liudmyla Yeremko,
Formation of the leaf surface and productivity of the chickling vetch (Lathyrus sativus L.) depending on the amounts of mineral fertilizers and pre-sowing inoculation of seeds
,
Agronomy Science: Vol. 76 No. 2 (2021)
-
Agata Dziwulska-Hunek,
Mariusz Szymanek,
Jacek Dziwulski,
Managing the quality of seeds from cereal conditioned with effective microorganisms (EM) and red light (RL)
,
Agronomy Science: Vol. 77 No. 3 (2022)
<< < 8 9 10 11 12 13 14 15 16 17 > >>
You may also start an advanced similarity search for this article.