Akıllı Tarımda Kullanılan Bulut Sistemler, Nesnelerin İnterneti ve Diğer Teknolojilerin Kullanımları ve Bir Akıllı Tarım Mimari Önerisi

İnsanlığın ilk günlerinden bu yana tarım tüm dünyada öneme sahiptir. İnsanlığın gelişimi ile birlikte tarımın gelişimi de orantılıdır. Bugün insanlar teknolojide geldikleri noktaya tarım ile birlikte gelmiştir. Tarımın gelişiminin sağlanmasında teknolojinin farklı konu başlıkları ile günümüzde kullanılması etkin olmaktadır. Akıllı tarım kavramı da buradan doğmuştur. Bugün kullanılan donanım ve yazılımlar beraberinde üreticilere kolaylıklar sağlamakta, üretim artmakta ve işletmeler daha çok kazanç elde etmektedir. Bu amaçla bulut sistemler, nesnelerin interneti, yapay zekâ uygulamaları ve daha birçok teknoloji kullanılmaktadır. Bu çalışmada üreticiler için bulut sistemler ve nesnelerin interneti başta olmak üzere, güncel teknolojiler ışığında akıllı tarımda kullanılabilir uygulamalar tasarlanması üzerinde durulmuştur. Ayrıca alanyazında akıllı tarımla ilgili yapılan çalışmalar doküman analizi yönteminden yararlanılarak analiz edilmiştir. Alanyazında yapılan akıllı tarımla ilgili çalışmaların benzerlik gösterdiği belirlenmiştir. Araştırma bulgularına göre akıllı tarımla ilgili uygulamalar üreticilerin daha az maliyet ile ürünler elde etmesini sağlamayı amaçlamaktadır. Bunu sağlamada üreticilerin ve bilişim alanında çalışan uzmanların birlikte çalışması önerilebilir.

Cloud Systems Used in Smart Agriculture, the Internet of Things and Uses of Other Technologies and a Smart Agriculture Architectural Proposal

Agriculture has been important all over the world since the first days of humanity. The development of agriculture is proportional to the development of humanity. Today, people have reached the point they have reached in technology with agriculture. Today, the use of technology with different topics is effective in ensuring the development of agriculture. The concept of smart agriculture was born from here. The hardware and software used today provide convenience to manufacturers, production increases and businesses gain more profit. For this purpose, cloud systems, internet of things, artificial intelligence applications and many other technologies are used. In this study, it is focused on designing applications that can be used in smart agriculture in the light of current technologies, especially cloud systems and internet of things for producers. In addition, studies on smart agriculture in the literature were analysed by using the document analysis method. It has been determined that the studies on smart agriculture in the literature are similar. According to the research findings, applications related to smart agriculture aim to enable producers to obtain products with less cost. It can be suggested that manufacturers and experts working in the field of informatics work together to achieve this.

PDF

___

Akın T, Yıldırım C, Çakan H. 2014. Tarım ve hayvancılıkta bilişim tabanlı karar destek sistemleri. Akademik Bilişim’ 14. Mersin, Turkiye, pp. 659 – 663.
https://ab.org.tr/ab14/kitap/akin_yildirim_ab14.pdf Alharbi HA, Aldossary M. 2021. Energy-efficient edge-fog-cloud architecture for IoT-based smart agriculture environment. IEEE Access. 9: 110480 – 110492. doi: 10.1109/ACCESS.2021.3101397
Ayaz M, Ammad-Uddin M, Sharif Z, Aggoune EM. 2019. Internet of things (IoT) – based smart agriculture: toward making the fields talk. IEEE Access, 7: 129551 – 129583. doi: 10.1109/ACCESS.2019.2932609
Bayramoğlu Z, Bozdemir M. 2018. The impact on labor productivity and employment of agricultural technology utilization. IERFM International Economic Research and Financial Markets Congress Proceeding Book, Turkey, 12 – 14 April 2018, Detay Publishing, pp. 417 – 434.
Baran E, Ersoy Karaçuha M. 2021. Adaptation to global climate change: smart agricultural practices and occupatıonal health and safety. 2. Ulusal İş Sağlığı ve Güvenliği Öğrenci Kongresi. 3 – 4 April 2021, Uskudar University Publishing, pp. 13 – 20.
Baz FÇ, Uludağ K. 2021. An application on use of IoT sensors to ensure data center security. European Journal of Science and Technology, 27: 392 – 397. doi: 10.31590/ejosat.939216
Biswas M, Akhund TMNU, Ferdous MJ, Kar S, Anis A, Shanto SA. 2021. BIoT: blockchain based smart agriculture with internet of thing. Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4). pp. 75 – 80.
Channe H, Kothari S, Kadam D. 2015. Multidisciplinary model for smart agriculture using ınternet-of-things (ıot), sensors, cloud-computing, mobile-computing and big-data analysis. Int. J. Computer Technology and Applications, 6: 374 – 382.
Chatterjee PS, Ray NK, Member S. 2021. LiveCare: an ıot based healthcare framework for livestocks in smart agriculture. IEEE Transactions on Consumer Electronics, pp. 1 – 10. doi: 10.1109/TCE.2021.3128236
Duman B, Özsoy K. 2019. Endüstri 4.0 perspektifinde akıllı tarım. 4th international congress on 3d printing (additive manufacturing) technologies and digital industry, 11 – 14 April 2019, Antalya, Turkiye, pp. 540 – 555.
Gondchawar N, Kawitkar RS. 2016. IoT based smart agriculture. International Journal of Advanced Research in Computer and Communication Engineering, 5: 838 – 842. doi: 10.17148/IJARCCE.2016.56188
Gowda D, Prabhu S, Ramesha M, Kudari JM, Samal A. 2021. Smart agriculture and smart farming using IoT technology. Journal of Physics: Conference Series, pp. 1 – 9. doi:10.1088/1742-6596/2089/1/012038
Huang C, Chen Y. 2021. Agricultural business and product marketing effected by using big data analysis in smart agriculture. Acta Agriculturae Scandinavica, 1 – 12. doi: 10.1080/09064710.2021.1967439
Junaid M, Shaikh A, Hassan MU, Alghamdi A, Rajab K, Reshan MSA, Alkinani M. 2021. Smart agriculture cloud using ai based techniques. Energies, 14: 1 – 15. doi: 10.3390/en14165129
Kaya M. 2019. Smart farming (agriculture 4.0) proposal for the development of Ağrı. Akademik Bakış Dergisi, 75: 130 – 156.
Kıral B. 2020. Document analysis as a qualitative data analysis method. Journal of Social Sciences Institute, 15: 170 – 189.
Klaina H, Guembe IP, Lopez-Iturri P, Campo-Bescos MA, Azpilicueta L, Aghzout O, Alejos AV, Falcone F. 2021. Analysis of low power wide area network wireless technologies in smart agriculture for large-scale farm monitoring and tractor communications. Measurement, 187: 1 – 18.
Kumar AS, Suresh G, Lekashri S, Babu LG, Manikandan R. 2021. Smart agriculture system with e – carbage using IoT. International Journal of Modern Agriculture, 10: 928 – 931. Lin J, Shen Z, Zhang A, Chai Y. 2018. Blockchain and IoT based food traceability for smart agriculture. ICCSE, Singapore, 28 – 31 July 2018, ACM, pp. 1 – 6.
Mekala MS, Viswanathan P. 2017. A survey: smart agriculture IoT with cloud computing. International conference on Microelectronic Devices, Circuits and Systems (ICMDCS), 2017, pp. 1-7, doi: 10.1109/ICMDCS.2017.8211551.
Patil KA, Kale NR. 2016. A model for smart agriculture using IoT. International Conference on Global Trends in Signal Processing, Information Computing and Communication, pp. 543 – 545.
Rao RN, Sridhar B. 2018. IoT based smart crop-field monitoring and automation irrigation system. Second International Conference on Inventive Systems and Control (ICISC 2018), IEEE Xplore Compliant. pp. 478 – 483.
Roopaei M, Rad P, Choo KKR. 2017. Cloud of things in smart agriculture: intelligent irrigation monitoring by thermal imaging. IEEE Cloud Computing, 4: 10 – 15. doi: 10.1109/MCC.2017.5
Sak R, Şahin Sak IT, Öneren Şendil Ç, Nas E. 2021. Document analysis as a research method. Kocaeli University Journal of Education. 4: 227 – 250. doi: 10.33400/kuje.843306 Semtech Corporation 2017. Precision farming. https://www.semtech.com/uploads/technology/LoRa/appbriefs/
Semtech_Agr_PrecisionFarming_AppBrief- FINAL.pdf [Accessed 28 September 2021]
Sun Y, Lei Shu WD, Yu Zhang KL, Zhou Z, Han G. 2021. On enabling mobile crowd sensing for data collection in smart agriculture: a vision. IEEE Systems Journal. pp. 1 – 12.
Suma N, Samson SR, Saranya S, Shanmugapriya G, Subhashri R. 2017. IoT based smart agriculture monitoring system. International Journal on Recent and Innovation Trends in Computing and Communication, 5: 177 – 181.