Using Internet of Things for Temperature and Humidity Monitoring in Forage Production Using Hydroponic Method
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Keywords:kapalı tarım, iklimlendirme, sıcaklık kontrolü, nem kontrolü
With the increasing population in the world, the demand for food is also increasing. Despite intensive production due to reasons such as climate change and decrease in water resources, the food supply remains insufficient. More efficient methods are being researched in feed production techniques, which is one of the main inputs of the sector, in order to meet the need for animal food. One of the preferred methods as a result of production searches is the production of roughage by hydroponic method. With vertical agriculture, more production can be made in narrower production areas and more than 90% savings are achieved in resource use. In the production of roughage by hydroponic method, the seeds of forage plants are germinated and used in animal feeding as green in 6-8 days. A very small amount of normal water or nutrient water is used for germination of seeds. It is understood from research that the product produced by hydroponic method is suitable for animal nutrition. In hydroponic systems, it is necessary to maintain a constant balance between temperature and humidity. In systems established for feed production, molds may occur due to the inability to adjust the temperature and moisture balance well. In researches, it is stated that mold reduces the quality of feed and can even cause the death of animals. All processes applied in closed production systems, which meet a great need in feed production, must be precisely controlled. Within the scope of this study, it was tried to reduce moisture measurement errors in roughage production by hydroponic method. The measurement data taken with the realized measurement equipment were processed using digital filters. When sufficient data is obtained, it will be possible to conduct research on seed germination of different forage plants by using it in artificial intelligence studies.
Aktar, Y., Polat, T., Okant, M., Kurt, İbrahim. 2021. Tek yıllık yemlik İtalyan çim (Lolium multiflorum L.) çeşitlerinde bazı bitkisel özelliklerin belirlenmesi. ISPEC Journal of Agricultural Sciences, 5(1): 193-201.
Ayan, M., Şenol, R. 2016. Bulanık mantık tabanlı–uzaktan erişimli sera otomasyonu. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 4:734-746.
Babiuch, M., Foltynek, P., Smutny, P. 2019. Using the ESP32 microcontroller for data processing. Proceedings of the 2019 20th International Carpathian Control Conference, May 26-29, Poland, Krakow-Wieliczka s:1-6.
Danita, M., Mathew, B., Shereen, N., Sharon, N., Paul, J. J. 2019. IoT Based Automated Greenhouse Monitoring System. Proceedings of the 2nd International Conference on Intelligent Computing and Control Systems, June 14-15, India, Madurai s: 1933–1937.
Dung, D. D., Godwin, I. R., Nolan, J. V. 2010. Nutrient content and in sacco degradation of hydroponic barley sprouts grown using nutrient solution or tap water. Journal of Animal and Veterinary Advances, 9(18): 2432–2436.
Espressif Systems Company. 2013. ESP32-WROOM-32 Datasheet. https://www.espressif.com/sites/default/files/documentation/esp32-wroom-32_datasheet_en.pdf (Erişim tarihi: 10.03.2021).
Hanoğlu, H. 2014. Türkiye’de Meralar ve Kaliteli Kaba Yem Üretimi. Tarım ve Mühendislik Dergisi, 107: 14–16.
Karaşahin, M. 2017. Farklı Tohum Miktarlarının Hidroponik Arpa Çimi Üzerine Etkileri Effects of Different Seed Amounts on Hydroponic Barley Grass. Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 7(4): 63–68.
Kırbaş, İ. 2020. Comparison of Spike Noise Removing Performances of Different Filters for Low Level Sensor Data (Ed: Güngör A.), Global View of Energy and Environment in Engineering, Akademisyen Kitabevi, 35-42.
Hocagil, M.M., Öztürk, H.H. 2005. Seralarda sıcaklık ve bağıl nem kontrolü üzerine bir araştırma. Tarım Makinaları Bilimi Dergisi, 1(3): 255-261.
Marsico, G., Micera, E., Dimatteo, S., Minuti, F., Vicenti, A., Zarrilli, A. 2009. Evaluation of animal welfare and milk production of goat fed on diet containing hydroponically germinating seeds.Italian Journal of Animal Science, 8(2): 625–627.
Mouser Electronics. 1995. Dht11 sensor datasheet. https://www.mouser.com /datasheet/2/758/ dht11-technical-data-sheet-translated-version-1143054.pdf, 76(12): 1112 (Erişim tarihi: 09.03.2021).
Mouser Electronics. 2016. SHT30 sensor datasheet. https://www.mouser.com /datasheet /2/682/Sensirion_Humi dity_Sensors_SHT3x_Datasheet_digital-971521.pdf (Erişim tarihi: 09.03.2021).
Özkan, U. 2020. Türkiye Yem Bitkileri Tarımına Karşılaştırmalı Genel Bakış ve Değerlendirme. Türk Ziraat Mühendisliği Araştırmaları Dergisi, 1: 29–43.
Özkan, U., Şahin Demirdağ, N. 2016. Türkiyede Kaliteli Kaba Yem Kaynaklarını Mevcut Durumu. Türk Bilimsel Derlemeler Dergisi, 9(1): 23–27.
Pasha, S. 2016. ThingSpeak based sensing and monitoring system for IoT with Matlab Analysis. International Journal of New Technology and Research (IJNTR), 2(6):19-23.
Şenol, R., Tosun, M. F., Gençkal, A. A. 2019. Modern Kontrol Yöntemleri ile Bulanık Mantık Temelli Oda Sıcaklık Kontrolü. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 23(3): 992–999.
Tadjine, N., Messgo-Moumene, S., Abd El Kader Aissat, D., Saddek, A. J., & Hadda, T. B. 2019. In vitro evaluation of the antifungal potential of Zizyphus lotus L. against toxigenic molds of hydroponic barley. Mycopath, 17(1):39-43.
Van Straten, G., Challa, H., Buwalda, F. 2000. Towards user accepted optimal control of greenhouse climate. Computers and Electronics in Agriculture, 26(3): 221–238.
Yurtseven, S., Güler, A., Sakar, E. 2020. Effects of hydroponic media on forage and silage quality of barley (Hordeum vulgare l.). Applied Ecology and Environmental Research, 18(1):1601–1610.
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