Year 2022,
, 141 - 156, 28.12.2022
Mücahit Çalışan
,
Şener Balat
,
Mehmet Yavuz
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
Mücahit Çalışan
,
Şener Balat
,
Mehmet Yavuz
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
Mücahit Çalışan
,
Şener Balat
,
Mehmet Yavuz
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.