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Warianty tytułu
Hybrydowy algorytm sterowania dla systemu sztucznego doświetlania roślin
Języki publikacji
Abstrakty
The algorithm of control for the regime of artificial supplementary lighting of plants can secure the light regime, according to their kind and phase of vegetation growth. A peculiarity of the proposed algorithm suggests use of the information about a short-term weather forecast, which supplies the maximum employment of solar radiation energy in the technological process of artificial lighting of plants.
Algorytm sterowania dla systemu sztucznego doświetlania roślin można zastosować w systemie oświetlenia, w zależności od fazy wzrostu roślinności i ich rodzaju. Specyfika proponowanego algorytmu sugeruje wykorzystanie informacji o krótkoterminowej prognozie pogody, która zapewnia maksymalne wykorzystanie energii promieniowania słonecznego w procesie technologicznym sztucznego oświetlenia roślin. System hybrydowy z inteligentnym sterowaniem procesami zaopatrzenia w energię kompleksu szklarniowego z zastosowaniem odnawialnych źródeł energii.
Wydawca
Czasopismo
Rocznik
Tom
Strony
149--152
Opis fizyczny
Bibliogr. 14 poz., rys., tab.
Twórcy
autor
- Lviv National Agrarian University, Department of Electrical Engineering Systems, V. Velykogo str., Dubliany-Lviv, 80381
autor
- Lviv National Agrarian University, Department of Electrical Engineering Systems, V. Velykogo str., Dubliany-Lviv, 80381
autor
- Lviv National Agrarian University, Department of Electrical Engineering Systems, V. Velykogo str., Dubliany-Lviv, 80381
autor
- Lviv National Agrarian University, Department of Electrical Engineering Systems, V. Velykogo str., Dubliany-Lviv, 80381
autor
- Lviv National Agrarian University, Department of Electrical Engineering Systems, V. Velykogo str., Dubliany-Lviv, 80381
autor
- University of Agriculture in Krakow, Faculty of Production and Power Engineering, Balicka 116 B str., 30-149 Krakow
autor
- University of Agriculture in Krakow, Faculty of Production and Power Engineering, Balicka 116 B str., 30-149 Krakow
Bibliografia
- [1] Shamshiri R., Principles of Greenhouse Control Engineering. Part 1: Theories & Concepts, (2007) Putra: ITMA, UPM
- [2] Oliveira J., Boaventura-Cunha J., Oliveira P., Automation and control in greenhouses: state-of-the-art and future trends, in Lecture Notes in Electrical Engineering, (2016) Cham: Springer, 597-606
- [3] Shankaraiah R., Prajwal R., Hemanth Kumar B., Shweta B., Nayana R., Automated green house, International Journal of Advance Research, Ideas and Innovations in Technology, 5 (2019), No. 3, 1831-1834
- [4] Ganesan K., Walele U., Hambire N., Choughule P., Oommen D., Raspberry-Pi based automated greenhouse, International Research Journal of Engineering and Technology, 5 (2018), No. 3, 2346-2350
- [5] Anushree M., Krishna R., A smart farming system using Arduino based technology, International Journal of Advance Research, Ideas and Innovations in Technology, 4 (2018), No. 4, 850-856
- [6] Patil K., Girase M., Mali V., Koli S., Saindane J., Agriculture environment monitoring system using Android Wi-Fi, International Journal for Scientific Research & Development, 6 (2018), No. 3, 39-44
- [7] Dimitrijevic A., Djevic M., Controlling a greenhouse production processes and environment, Annals of the faculty of engineering Hunedoara – International Journal of Engineering, IV (2006), No. 3, 207-213
- [8] Takia M., Rohanib A., Rahmati-Joneidabadc M., Solar thermal simulation and applications in greenhouse, Information Processing in Agriculture, 5 (2018), No. 1, 83-113
- [9] Anifantis A., Pascuzzi S., Scarascia-Mugnozza G., Geothermal source heat pump performance for a greenhouse heating system: an experimental study, Journal of Agricultural Engineering, 47 (2016), No.3 , 164-170
- [10] Syrotyuk V., Galchak V., Syrotyuk S.,Fuzzy logic controller of the solar hot water system, Motrol. Commission of motorization and energetics in agriculture, 16 (2014), No. 4, 32-37
- [11] Eddahhak A., Lachhab A., Ezzine L., Bouchikhi B., Performance evaluation of a developing greenhouse climate control with a computer system, AMSE J. Modelling, 68 (2007), No. 1, 53-64
- [12] Pawlowski A., Guzman J. L., Rodriguez F., Berenguel M., Sanchez J. Dormido S., Study of event-based sampling techniques and their influence on greenhouse climate control with Wireless Sensors Network, in Factory Automation, (2010) Rijeka: IntechOpen, 289-312
- [13] Qi R., Tao G., Jiang B., Fuzzy System Identification and Adaptive Control, (2019), Cham: Springer
- [14] Ramakrishnan S., Modern Fuzzy Control Systems and Its Applications, (2017) Rijeka: IntechOpen
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a9189f66-ddda-484a-bdba-ba1fef6523f2