Journals / Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2000 / Cilt: 4 - Sayı: 1

The fuzzy logic controlling of the humudity and CO2 rates in greenhouses

Seralardaki nem ve CO2 oranının bulanık mantık kontrolü

Pages
11–16
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The system formed aims at providing the natural needs of the plants raised in the greenhouses and increasing the fertileness of the production.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, taking into greenhouses models of air-conditioning and CO2 parameters with fuzzy logic controlling and simulation on MATLAB 4.0.
📊
Key Findings & Data:In this study, taking into greenhouses models of air-conditioning and CO2 parameters with fuzzy logic controlling and simulation on MATLAB 4.0.
💡
Conclusion & Impact:The system formed aims at providing the natural needs of the plants raised in the greenhouses and increasing the fertileness of the production.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this study, taking into greenhouses models of air-conditioning and CO2 parameters with fuzzy logic controlling and simulation on MATLAB 4.0. The system formed aims at providing the natural needs of the plants raised in the greenhouses and increasing the fertileness of the production.

Özet

Bu çalışmada, seraların havalandırma ve CO2 gübrelemesi parametrelerinin kontrolünün bulanık mantık ile modellemesi ve MATLAB 4.0 programı ile simülasyonu yapılmıştır. Tasarlanan sistem, serada yetiştirilen bitkilerin doğal ihtiyaçlarının optimal seviyede temin edilerek, üretimin verimliliğini arttırmayı amaçlamaktadır.

🔖

Cite This Article

AYDOĞAN, T., YARDIMCI, A., ÇAKIR, A. (2000). The fuzzy logic controlling of the humudity and CO2 rates in greenhouses. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 4 - Sayı: 1, 11–16. https://ajindex.com/articles/310385

References (4)

  1. Ay doğan T., 1997,
  2. Uzman Sistemler İle Sera Kontrolü, Y.L. Tezi, Gazi Üniversitesi F.B.E., Ankara. Boulard T.,Reich P. And Mermier M., 1993, Determination of Daily Climatic Set Points for a Greenhouse Tomato Crop, Proc. of AI for Agriculture and Food. 22-27
  3. France. Çavuşoğlu A., İmal E., Yeşilçimen PI., Aydoğan T., 1997, A Knowledge Based System for Controlling the Climate of Greenhouses: A simulation Approach, ESM'97, İstanbul. Dariankov, d. Hellendoorn, H., and Reinfrank, M., 1996,
  4. An lntroductin to Fuzzy Control, Springer. Sönmez, A. Coşkun, Ders Notları Turkay O.S., Gulner S. and Ay sun G., 1994, Expert System to Control Humidity and Temperetaure of a Laboratory Scale Greenhouse, Proc, of 2.nd Biennial European Joint Conf. on Engineering Systems Design and Analysis, London. Yüksel A.N., Korkut A.B., Kaygısız H.,1992.