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.
-
Ewa Tendziagolska,
Danuta Parylak,
Tillage method for winter triticale in monoculture and intensity of stem base diseases
,
Agronomy Science: Vol. 59 No. 3 (2004)
-
Anna Jaroszewska,
Sławomir Stankowski,
Tomasz Tomaszewicz,
Marzena Gibczyńska,
Analysis of the multi-annual effect of tillage systems and forecrops on texture and physical properties of soil
,
Agronomy Science: Vol. 79 No. 2 (2024)
-
Karol Bujak,
Maria Jędruszczak,
Mariusz Frant,
Reduced tillage and foliar nutrition by macro- and microelements and weed infestation of soybean growing in monoculture
,
Agronomy Science: Vol. 59 No. 2 (2004)
-
Michał Kasprowicz,
Katarzyna Pentoś,
Wiesław Wojciechowski,
Sebastian Kujawa,
Jasper Tembeck Mbah,
Advancements in plant protection - the application of machine learning to the detection of maize infestations
,
Agronomy Science: Vol. 80 No. 4 (2025)
-
Adriana Derejko,
Marcin Studnicki,
Elzbieta Wójcik-Gront,
Understanding the impact of cultivar characteristics and environmental conditions on grain protein content and yield in wheat
,
Agronomy Science: Vol. 81 No. 1 (2026)
-
Barbara Lilianna Krochmal-Marczak,
Elżbieta Pisulewska,
Barbara Sawicka,
Piotr Barbaś,
Piotr Pszczółkowski,
The temperature influence on the energy and germination capacity of seeds and the effect of the substrate on the yield the withania somnifera in the conditions of south-eastern Poland
,
Agronomy Science: Vol. 80 No. 4 (2025)
-
ALEKSANDRA NUCIA,
Glutenin proteins – characteristics and their influence on rheological properties of wheat. A review
,
Agronomy Science: Vol. 73 No. 2 (2018)
-
JUSTYNA REZMERSKA-PIĘTKA,
ZOFIA ŁĘGOWIAK,
ANDRZEJ RADECKI,
The influence of long-term mineral and organic fertilization on biology of dominating weeds in rye monoculture
,
Agronomy Science: Vol. 62 No. 2 (2007)
-
RYSZARD WEBER,
HANNA GOŁĘBIOWSKA,
Influence of tillage system on weed infestation variability of selected winter wheat cultivars
,
Agronomy Science: Vol. 68 No. 4 (2013)
-
Hennadii Pinkovskyi,
Semen Tanchyk,
Management of productivity of sunflower plants depending on terms of sowing and density of standing in arid conditions of the Right-bank Steppe of Ukraine
,
Agronomy Science: Vol. 76 No. 1 (2021)
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.
