Research Article
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Year 2022, , 141 - 156, 28.12.2022
https://doi.org/10.53440/bad.1215624

Abstract

References

  • AMULEN, D. R., D’Haese, M., D’Haene, E., OkweeAcai, J., Agea, J. G., Smagghe, G., & Cross, P. (2019). Estimating the potential of beekeeping to alleviate household poverty in rural Uganda. PLoS ONE, 14(3), e0214113. https://doi. org/10.1371/journal.pone.0214113.
  • ANYASİ, I. F., & Imoize, A. L. (2010). Information technology and the business communities: A case study of small-scale business enterprises in Nigeria. Research Journal of Applied Sciences, Engineering and Technology, 2(1), 45-49.
  • BENCSİK, M., Bencsik, J., Baxter, M., Lucian, A., Romieu, J., & Millet, M. (2011). Identification of the honey bee swarming process by analysing the time course of hive vibrations. Computers and electronics in agriculture, 76(1), 44-50.
  • BERHANU, B. (2002). Analysis of factors affecting the adoption of cross bred dairy cows in the central highlands of Ethiopia. Sc Thesis Submitted to School of Graduate Studies of Haramaya University.
  • BJERGE, K., Frigaard, C. E., Mikkelsen, P. H., Nielsen, T. H., Misbih, M., & Kryger, P. (2019). A computer vision system to monitor the infestation level of Varroa destructor in a honeybee colony. Computers and Electronics in Agriculture, 164, 104898.
  • BRAGA, A. R., Gomes, D. G., Freitas, B. M., & Cazier, J. A. (2020). A cluster-classification method for accurate mining of seasonal honey bee patterns. Ecological Informatics, 59, 101107.
  • CLERMONT, A., Eickermann, M., Kraus, F., Hoffmann, L., & Beyer, M. (2015). Correlations between land covers and honey bee colony losses in a country with industrialized and rural regions. Science of the Total Environment, 532, 1-13.
  • DASİG, D. D., & Mendez, J. M. (2020). An IoT and wireless sensor network-based technology for a low-cost precision apiculture. In Internet of Things and Analytics for Agriculture, 2 (pp. 67-92). Springer, Singapore.
  • DİNEVA, K., & Atanasova, T. (2018). OSEMN process for working over data acquired by IoT devices mounted in beehives. Current Trends in Natural Sciences, 7(13), 47-53.
  • DUNHAM, W. E. (1931). Hive temperatures for each hour of a day. J. Sci., 31, 181-188. Ohio.
  • FERRARİ, S., Silva, M., Guarino, M., & Berckmans, D. (2008). Monitoring of swarming sounds in bee hives for early detection of the swarming period. Computers and Electronics in Agriculture, 64(1), 72-77.
  • GATES, B. N. (1914). The temperature of the bee colony (No. 96). US Department of Agriculture.
  • GÜRER, B., & Akyol, E. (2018). The determinants of technical efficiency in beekeeping farms and the role of agricultural subsidies: The case of Niğde, Turkey. Journal of Agriculture and Environment for International Development (JAEID), 112(2), 343-360.
  • HEİDİNGER, I. M. M., Meixner, M. D., Berg, S., & Büchler, R. (2014). Observation of the mating behavior of honey bee (Apis mellifera L.) queens using radio-frequency identification (RFID): Factors influencing the duration and frequency of nuptial flights. Insects, 5(3), 513-527.
  • HONG, W., Xu, B., Chi, X., Cui, X., Yan, Y., & Li, T. (2020). Long-term and extensive monitoring for bee colonies based on internet of things. IEEE Internet of Things Journal, 7(8), 7148-7155.
  • IMOİZE, A. L., Oyedare, T. R., Ezekafor, C. G., & Shetty, S. (2019). Deployment of an energy efficient routing protocol for wireless sensor networks operating in a resource constrained environment. Transactions on Networks and Communications, 7(1), 41.
  • JONES, R. (2004). European beekeeping in the 21st century: strengths, weaknesses, opportunities, threats. Bee World, 85(4), 77-80.
  • KONTOGİANNİS, S. (2019). An internet of things-based low-power integrated beekeeping safety and conditions monitoring system. Inventions, 4(3), 52.
  • KRİDİ, D. S., de Carvalho, C. G. N., & Gomes, D. G. (2016). Application of wireless sensor networks for beehive monitoring and in-hive thermal patterns detection. Computers and Electronics in Agriculture, 127, 221-235.
  • MARTİN, H., Nicola, B., & Danilo, M. (2012). Beekeeping and sustainable livelihood. FAO, Rome, Italy.
  • MCMİLLAN, J. H., & Schumacher, S. (2010). Research in Education: Evidence-Based Inquiry, MyEducationLab Series. Pearson.
  • MEİKLE, W. G., Weiss, M., Maes, P. W., Fitz, W., Snyder, L. A., Sheehan, T., ... & Anderson, K. E. (2017). Internal hive temperature as a means of monitoring honey bee colony health in a migratory beekeeping operation before and during winter. Apidologie, 48(5), 666-680.
  • MİNİSTRY of Finance and Economic Development [MoFED] (2009). Layperson’s Guide to the Public Budget Progress at Regional Level, Addis Ababa, Ethiopia.
  • MOARD. (2007). Livestock development master plan study phase I report–data collection and analysis, volume N-apiculture, ministry of agriculture and rural development (MoARD). Addis Ababa, Ethiopia.
  • MULATU, A., Marisennayya, S., & Bojago, E. (2021). Adoption of Modern Hive Beekeeping Technology: The Case of Kacha-Birra Woreda, Kembata Tembaro Zone, Southern Ethiopia. Advances in Agriculture, 2021.
  • ODOUX, J. F., Aupinel, P., Gateff, S., Requier, F., Henry, M., & Bretagnolle, V. (2014). ECOBEE: A tool for long-term honey bee colony monitoring at the landscape scale in West European intensive agroecosystems. Journal of Apicultural Research, 53(1), 57-66.
  • ROSMİZA, M. Z., Nordin, N. H. M., Mapjabil, J., & Marzuki, M. (2020). Isu dan cabaran usahawan dalam industri penternakan lebah kelulut (Issues and challenges for entrepreneur in the stingless bee industry). Geografia, 16(4).
  • SEELEY, T. D., Camazine, S., & Sneyd, J. (1991). Collective decision-making in honey bees: how colonies choose among nectar sources. Behavioral Ecology and Sociobiology, 28(4), 277-290.
  • SEVİN, S., Tutun, H., & Mutlu, S. (2021). Detection of Varroa mites from honey bee hives by smart technology Var-Gor: A hivemonitoring and image processing device. Turkish Journal of Veterinary & Animal Sciences, 45(3), 487-491.
  • STRUYE, M. H., Mortier, H. J., Arnold, G., Miniggio, C., & Borneck, R. (1994). Microprocessor- controlled monitoring of honeybee flight activity at the hive entrance. Apidologie, 25(4), 384-395.
  • TERENZİ, A., Cecchi, S., & Spinsante, S. (2020). On the importance of the sound emitted by honey bee hives. Veterinary Sciences, 7(4), 168.
  • TULU, D., Aleme, M., Mengistu, G., Bogale, A., Bezabeh, A., & Mendesil, E. (2020). Improved beekeeping technology in Southwestern Ethiopia: Focus on beekeepers’ perception, adoption rate, and adoption determinants. Cogent Food & Agriculture, 6(1), 1814070.
  • YILDIRIM, A., & Şimşek, H. (2006). Sosyal Bilimlerde Nitel Araştırma Yöntemleri. (6. Baskı). Seçkin Yayıncılık.
  • ZACEPİNS, A., & Stalidzans, E. (2012). Architecture of automatized control system for honey bee indoor wintering process monitoring and control. In Proceedings of the 13th International Carpathian Control Conference (ICCC) (pp. 772- 775). IEEE.
  • ZGANK, A. (2019). Bee swarm activity acoustic classification for an IoT-based farm service. Sensors, 20(1), 21.
  • ZHENG, L., Li, M., Wu, C., Ye, H., Ji, R., Deng, X., ... & Guo, W. (2011). Development of a smart mobile farming service system. Mathematical and computer modelling, 54(3-4), 1194-1203.
Year 2022, , 141 - 156, 28.12.2022
https://doi.org/10.53440/bad.1215624

Abstract

References

  • AMULEN, D. R., D’Haese, M., D’Haene, E., OkweeAcai, J., Agea, J. G., Smagghe, G., & Cross, P. (2019). Estimating the potential of beekeeping to alleviate household poverty in rural Uganda. PLoS ONE, 14(3), e0214113. https://doi. org/10.1371/journal.pone.0214113.
  • ANYASİ, I. F., & Imoize, A. L. (2010). Information technology and the business communities: A case study of small-scale business enterprises in Nigeria. Research Journal of Applied Sciences, Engineering and Technology, 2(1), 45-49.
  • BENCSİK, M., Bencsik, J., Baxter, M., Lucian, A., Romieu, J., & Millet, M. (2011). Identification of the honey bee swarming process by analysing the time course of hive vibrations. Computers and electronics in agriculture, 76(1), 44-50.
  • BERHANU, B. (2002). Analysis of factors affecting the adoption of cross bred dairy cows in the central highlands of Ethiopia. Sc Thesis Submitted to School of Graduate Studies of Haramaya University.
  • BJERGE, K., Frigaard, C. E., Mikkelsen, P. H., Nielsen, T. H., Misbih, M., & Kryger, P. (2019). A computer vision system to monitor the infestation level of Varroa destructor in a honeybee colony. Computers and Electronics in Agriculture, 164, 104898.
  • BRAGA, A. R., Gomes, D. G., Freitas, B. M., & Cazier, J. A. (2020). A cluster-classification method for accurate mining of seasonal honey bee patterns. Ecological Informatics, 59, 101107.
  • CLERMONT, A., Eickermann, M., Kraus, F., Hoffmann, L., & Beyer, M. (2015). Correlations between land covers and honey bee colony losses in a country with industrialized and rural regions. Science of the Total Environment, 532, 1-13.
  • DASİG, D. D., & Mendez, J. M. (2020). An IoT and wireless sensor network-based technology for a low-cost precision apiculture. In Internet of Things and Analytics for Agriculture, 2 (pp. 67-92). Springer, Singapore.
  • DİNEVA, K., & Atanasova, T. (2018). OSEMN process for working over data acquired by IoT devices mounted in beehives. Current Trends in Natural Sciences, 7(13), 47-53.
  • DUNHAM, W. E. (1931). Hive temperatures for each hour of a day. J. Sci., 31, 181-188. Ohio.
  • FERRARİ, S., Silva, M., Guarino, M., & Berckmans, D. (2008). Monitoring of swarming sounds in bee hives for early detection of the swarming period. Computers and Electronics in Agriculture, 64(1), 72-77.
  • GATES, B. N. (1914). The temperature of the bee colony (No. 96). US Department of Agriculture.
  • GÜRER, B., & Akyol, E. (2018). The determinants of technical efficiency in beekeeping farms and the role of agricultural subsidies: The case of Niğde, Turkey. Journal of Agriculture and Environment for International Development (JAEID), 112(2), 343-360.
  • HEİDİNGER, I. M. M., Meixner, M. D., Berg, S., & Büchler, R. (2014). Observation of the mating behavior of honey bee (Apis mellifera L.) queens using radio-frequency identification (RFID): Factors influencing the duration and frequency of nuptial flights. Insects, 5(3), 513-527.
  • HONG, W., Xu, B., Chi, X., Cui, X., Yan, Y., & Li, T. (2020). Long-term and extensive monitoring for bee colonies based on internet of things. IEEE Internet of Things Journal, 7(8), 7148-7155.
  • IMOİZE, A. L., Oyedare, T. R., Ezekafor, C. G., & Shetty, S. (2019). Deployment of an energy efficient routing protocol for wireless sensor networks operating in a resource constrained environment. Transactions on Networks and Communications, 7(1), 41.
  • JONES, R. (2004). European beekeeping in the 21st century: strengths, weaknesses, opportunities, threats. Bee World, 85(4), 77-80.
  • KONTOGİANNİS, S. (2019). An internet of things-based low-power integrated beekeeping safety and conditions monitoring system. Inventions, 4(3), 52.
  • KRİDİ, D. S., de Carvalho, C. G. N., & Gomes, D. G. (2016). Application of wireless sensor networks for beehive monitoring and in-hive thermal patterns detection. Computers and Electronics in Agriculture, 127, 221-235.
  • MARTİN, H., Nicola, B., & Danilo, M. (2012). Beekeeping and sustainable livelihood. FAO, Rome, Italy.
  • MCMİLLAN, J. H., & Schumacher, S. (2010). Research in Education: Evidence-Based Inquiry, MyEducationLab Series. Pearson.
  • MEİKLE, W. G., Weiss, M., Maes, P. W., Fitz, W., Snyder, L. A., Sheehan, T., ... & Anderson, K. E. (2017). Internal hive temperature as a means of monitoring honey bee colony health in a migratory beekeeping operation before and during winter. Apidologie, 48(5), 666-680.
  • MİNİSTRY of Finance and Economic Development [MoFED] (2009). Layperson’s Guide to the Public Budget Progress at Regional Level, Addis Ababa, Ethiopia.
  • MOARD. (2007). Livestock development master plan study phase I report–data collection and analysis, volume N-apiculture, ministry of agriculture and rural development (MoARD). Addis Ababa, Ethiopia.
  • MULATU, A., Marisennayya, S., & Bojago, E. (2021). Adoption of Modern Hive Beekeeping Technology: The Case of Kacha-Birra Woreda, Kembata Tembaro Zone, Southern Ethiopia. Advances in Agriculture, 2021.
  • ODOUX, J. F., Aupinel, P., Gateff, S., Requier, F., Henry, M., & Bretagnolle, V. (2014). ECOBEE: A tool for long-term honey bee colony monitoring at the landscape scale in West European intensive agroecosystems. Journal of Apicultural Research, 53(1), 57-66.
  • ROSMİZA, M. Z., Nordin, N. H. M., Mapjabil, J., & Marzuki, M. (2020). Isu dan cabaran usahawan dalam industri penternakan lebah kelulut (Issues and challenges for entrepreneur in the stingless bee industry). Geografia, 16(4).
  • SEELEY, T. D., Camazine, S., & Sneyd, J. (1991). Collective decision-making in honey bees: how colonies choose among nectar sources. Behavioral Ecology and Sociobiology, 28(4), 277-290.
  • SEVİN, S., Tutun, H., & Mutlu, S. (2021). Detection of Varroa mites from honey bee hives by smart technology Var-Gor: A hivemonitoring and image processing device. Turkish Journal of Veterinary & Animal Sciences, 45(3), 487-491.
  • STRUYE, M. H., Mortier, H. J., Arnold, G., Miniggio, C., & Borneck, R. (1994). Microprocessor- controlled monitoring of honeybee flight activity at the hive entrance. Apidologie, 25(4), 384-395.
  • TERENZİ, A., Cecchi, S., & Spinsante, S. (2020). On the importance of the sound emitted by honey bee hives. Veterinary Sciences, 7(4), 168.
  • TULU, D., Aleme, M., Mengistu, G., Bogale, A., Bezabeh, A., & Mendesil, E. (2020). Improved beekeeping technology in Southwestern Ethiopia: Focus on beekeepers’ perception, adoption rate, and adoption determinants. Cogent Food & Agriculture, 6(1), 1814070.
  • YILDIRIM, A., & Şimşek, H. (2006). Sosyal Bilimlerde Nitel Araştırma Yöntemleri. (6. Baskı). Seçkin Yayıncılık.
  • ZACEPİNS, A., & Stalidzans, E. (2012). Architecture of automatized control system for honey bee indoor wintering process monitoring and control. In Proceedings of the 13th International Carpathian Control Conference (ICCC) (pp. 772- 775). IEEE.
  • ZGANK, A. (2019). Bee swarm activity acoustic classification for an IoT-based farm service. Sensors, 20(1), 21.
  • ZHENG, L., Li, M., Wu, C., Ye, H., Ji, R., Deng, X., ... & Guo, W. (2011). Development of a smart mobile farming service system. Mathematical and computer modelling, 54(3-4), 1194-1203.

ARICILIKTA TEKNOLOJİ KULLANIMINA YÖNELİK ÇALIŞMALARIN EĞİLİMİ

Year 2022, , 141 - 156, 28.12.2022
https://doi.org/10.53440/bad.1215624

Abstract

Çalışmanın amacı, arıcılıkta teknoloji kullanımına yönelik eğilimin belirlenmesidir. Bu amaç doğrultusunda araştırmada nitel araştırma yöntemlerinden içerik analizi kullanılmıştır. İlgili çalışmalara Web of Science ve Scopus veri tabanlarında tarama yapılarak ulaşılmış ve toplam 96 çalışma analiz edilmiştir. Analiz sonucunda teknoloji içermeyen çalışmalar çıkarılmış ve 49 araştırma çalışmanın örneklemini oluşturmuştur. İlgili çalışmaların analizinde yazarlar tarafından hazırlanan veri toplama formu kullanılarak içerik analizi yapılmıştır. Analiz sonucunda en çok yayının (n=13) 2021 yılında ve ülkeler bazında da Etiyopya’da (n=8) yapıldığı bulunmuştur. İlgili araştırmalarda en çok nicel araştırma yönteminin (n=31) kullanıldığı ve örneklem olarak ise arıcı (n=20) ve arı kovanlarının (n=4) öne çıktığı görülmüştür. Yine bu çalışmalarda en çok modern kovan teknolojileri (n=10), Internet of Thinks (IoT) (n=7), Sensörler (n=5) ve Uzaktan İzleme Sistemleri (n=3) gibi teknolojiler kullanılmıştır. Bu teknolojilerin hangi amaç için kullanıldığı analiz edildiğinde ise verimliliği artırma (n=21), hastalık tespiti-azaltma (n=5), gelir artırma (n=3) ve koloniyi koruma (n=3) öne çıktığı görülmüştür. Son olarak ilgili çalışmalarda, arıcılıkta teknoloji kullanımına yönelik verimliliği artıracağından teşvik edilmesi önerilmektedir. Ayrıca uzaktan izleme sistemleri ile desteklenmesi ve hastalık tespitinde kullanılması da fayda sağlayacaktır.

References

  • AMULEN, D. R., D’Haese, M., D’Haene, E., OkweeAcai, J., Agea, J. G., Smagghe, G., & Cross, P. (2019). Estimating the potential of beekeeping to alleviate household poverty in rural Uganda. PLoS ONE, 14(3), e0214113. https://doi. org/10.1371/journal.pone.0214113.
  • ANYASİ, I. F., & Imoize, A. L. (2010). Information technology and the business communities: A case study of small-scale business enterprises in Nigeria. Research Journal of Applied Sciences, Engineering and Technology, 2(1), 45-49.
  • BENCSİK, M., Bencsik, J., Baxter, M., Lucian, A., Romieu, J., & Millet, M. (2011). Identification of the honey bee swarming process by analysing the time course of hive vibrations. Computers and electronics in agriculture, 76(1), 44-50.
  • BERHANU, B. (2002). Analysis of factors affecting the adoption of cross bred dairy cows in the central highlands of Ethiopia. Sc Thesis Submitted to School of Graduate Studies of Haramaya University.
  • BJERGE, K., Frigaard, C. E., Mikkelsen, P. H., Nielsen, T. H., Misbih, M., & Kryger, P. (2019). A computer vision system to monitor the infestation level of Varroa destructor in a honeybee colony. Computers and Electronics in Agriculture, 164, 104898.
  • BRAGA, A. R., Gomes, D. G., Freitas, B. M., & Cazier, J. A. (2020). A cluster-classification method for accurate mining of seasonal honey bee patterns. Ecological Informatics, 59, 101107.
  • CLERMONT, A., Eickermann, M., Kraus, F., Hoffmann, L., & Beyer, M. (2015). Correlations between land covers and honey bee colony losses in a country with industrialized and rural regions. Science of the Total Environment, 532, 1-13.
  • DASİG, D. D., & Mendez, J. M. (2020). An IoT and wireless sensor network-based technology for a low-cost precision apiculture. In Internet of Things and Analytics for Agriculture, 2 (pp. 67-92). Springer, Singapore.
  • DİNEVA, K., & Atanasova, T. (2018). OSEMN process for working over data acquired by IoT devices mounted in beehives. Current Trends in Natural Sciences, 7(13), 47-53.
  • DUNHAM, W. E. (1931). Hive temperatures for each hour of a day. J. Sci., 31, 181-188. Ohio.
  • FERRARİ, S., Silva, M., Guarino, M., & Berckmans, D. (2008). Monitoring of swarming sounds in bee hives for early detection of the swarming period. Computers and Electronics in Agriculture, 64(1), 72-77.
  • GATES, B. N. (1914). The temperature of the bee colony (No. 96). US Department of Agriculture.
  • GÜRER, B., & Akyol, E. (2018). The determinants of technical efficiency in beekeeping farms and the role of agricultural subsidies: The case of Niğde, Turkey. Journal of Agriculture and Environment for International Development (JAEID), 112(2), 343-360.
  • HEİDİNGER, I. M. M., Meixner, M. D., Berg, S., & Büchler, R. (2014). Observation of the mating behavior of honey bee (Apis mellifera L.) queens using radio-frequency identification (RFID): Factors influencing the duration and frequency of nuptial flights. Insects, 5(3), 513-527.
  • HONG, W., Xu, B., Chi, X., Cui, X., Yan, Y., & Li, T. (2020). Long-term and extensive monitoring for bee colonies based on internet of things. IEEE Internet of Things Journal, 7(8), 7148-7155.
  • IMOİZE, A. L., Oyedare, T. R., Ezekafor, C. G., & Shetty, S. (2019). Deployment of an energy efficient routing protocol for wireless sensor networks operating in a resource constrained environment. Transactions on Networks and Communications, 7(1), 41.
  • JONES, R. (2004). European beekeeping in the 21st century: strengths, weaknesses, opportunities, threats. Bee World, 85(4), 77-80.
  • KONTOGİANNİS, S. (2019). An internet of things-based low-power integrated beekeeping safety and conditions monitoring system. Inventions, 4(3), 52.
  • KRİDİ, D. S., de Carvalho, C. G. N., & Gomes, D. G. (2016). Application of wireless sensor networks for beehive monitoring and in-hive thermal patterns detection. Computers and Electronics in Agriculture, 127, 221-235.
  • MARTİN, H., Nicola, B., & Danilo, M. (2012). Beekeeping and sustainable livelihood. FAO, Rome, Italy.
  • MCMİLLAN, J. H., & Schumacher, S. (2010). Research in Education: Evidence-Based Inquiry, MyEducationLab Series. Pearson.
  • MEİKLE, W. G., Weiss, M., Maes, P. W., Fitz, W., Snyder, L. A., Sheehan, T., ... & Anderson, K. E. (2017). Internal hive temperature as a means of monitoring honey bee colony health in a migratory beekeeping operation before and during winter. Apidologie, 48(5), 666-680.
  • MİNİSTRY of Finance and Economic Development [MoFED] (2009). Layperson’s Guide to the Public Budget Progress at Regional Level, Addis Ababa, Ethiopia.
  • MOARD. (2007). Livestock development master plan study phase I report–data collection and analysis, volume N-apiculture, ministry of agriculture and rural development (MoARD). Addis Ababa, Ethiopia.
  • MULATU, A., Marisennayya, S., & Bojago, E. (2021). Adoption of Modern Hive Beekeeping Technology: The Case of Kacha-Birra Woreda, Kembata Tembaro Zone, Southern Ethiopia. Advances in Agriculture, 2021.
  • ODOUX, J. F., Aupinel, P., Gateff, S., Requier, F., Henry, M., & Bretagnolle, V. (2014). ECOBEE: A tool for long-term honey bee colony monitoring at the landscape scale in West European intensive agroecosystems. Journal of Apicultural Research, 53(1), 57-66.
  • ROSMİZA, M. Z., Nordin, N. H. M., Mapjabil, J., & Marzuki, M. (2020). Isu dan cabaran usahawan dalam industri penternakan lebah kelulut (Issues and challenges for entrepreneur in the stingless bee industry). Geografia, 16(4).
  • SEELEY, T. D., Camazine, S., & Sneyd, J. (1991). Collective decision-making in honey bees: how colonies choose among nectar sources. Behavioral Ecology and Sociobiology, 28(4), 277-290.
  • SEVİN, S., Tutun, H., & Mutlu, S. (2021). Detection of Varroa mites from honey bee hives by smart technology Var-Gor: A hivemonitoring and image processing device. Turkish Journal of Veterinary & Animal Sciences, 45(3), 487-491.
  • STRUYE, M. H., Mortier, H. J., Arnold, G., Miniggio, C., & Borneck, R. (1994). Microprocessor- controlled monitoring of honeybee flight activity at the hive entrance. Apidologie, 25(4), 384-395.
  • TERENZİ, A., Cecchi, S., & Spinsante, S. (2020). On the importance of the sound emitted by honey bee hives. Veterinary Sciences, 7(4), 168.
  • TULU, D., Aleme, M., Mengistu, G., Bogale, A., Bezabeh, A., & Mendesil, E. (2020). Improved beekeeping technology in Southwestern Ethiopia: Focus on beekeepers’ perception, adoption rate, and adoption determinants. Cogent Food & Agriculture, 6(1), 1814070.
  • YILDIRIM, A., & Şimşek, H. (2006). Sosyal Bilimlerde Nitel Araştırma Yöntemleri. (6. Baskı). Seçkin Yayıncılık.
  • ZACEPİNS, A., & Stalidzans, E. (2012). Architecture of automatized control system for honey bee indoor wintering process monitoring and control. In Proceedings of the 13th International Carpathian Control Conference (ICCC) (pp. 772- 775). IEEE.
  • ZGANK, A. (2019). Bee swarm activity acoustic classification for an IoT-based farm service. Sensors, 20(1), 21.
  • ZHENG, L., Li, M., Wu, C., Ye, H., Ji, R., Deng, X., ... & Guo, W. (2011). Development of a smart mobile farming service system. Mathematical and computer modelling, 54(3-4), 1194-1203.
There are 36 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Mücahit Çalışan 0000-0003-2651-5937

Şener Balat 0000-0002-9683-1778

Mehmet Yavuz 0000-0001-6218-232X

Publication Date December 28, 2022
Submission Date December 7, 2022
Published in Issue Year 2022

Cite

APA Çalışan, M., Balat, Ş., & Yavuz, M. (2022). ARICILIKTA TEKNOLOJİ KULLANIMINA YÖNELİK ÇALIŞMALARIN EĞİLİMİ. Bingöl Araştırmaları Dergisi(17), 141-156. https://doi.org/10.53440/bad.1215624

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