Web based remote agricultural control and consultancy application: An early diagnostic warning system

Year 2022, Volume: 6 Issue: 2, 152 - 160, 26.06.2022

Fatih Çağatay Baz , Emrah Denizer

https://doi.org/10.26701/ems.1111182

Abstract

In this study, the Web-Based Remote Agricultural Struggle and Counseling Application, which was developed within the Agriculture 4.0 approach for the spread of agricultural technologies and the use of technology in agriculture, has been discussed with the technical personnel who are experts in the field, and what improvements should be made regarding the application. In the study, literature review was made, agricultural consultancy, smart agriculture and the use of digital technologies in agriculture were discussed. The Web Based Remote Agricultural Control and Consultancy Application designed in this study was developed with the Python programming language. The development and operation of the application is presented in the form of screenshots. In the research, user opinions of the application were collected through a form consisting of 4 questions to measure demographic information and a qualitative question consisting of 7 main titles and 28 sub-titles to measure the opinions of technical personnel about the application, which was prepared by taking expert opinions. The data obtained from the research users were analyzed with the Nvivo 12 program. As a result of the analysis, it was concluded that the development of web-based agricultural control and consultancy application for technical personnel is appropriate, the interface design should be improved, and it will contribute positively to the dissemination of technology use in agriculture.

Keywords

web-based consultancy, smart farm, Agriculture 4.0

References

• [1] Arıkan, H. (2019). İha ile tarımda sürdürülebilirlik ve hassas uygulamaları ile ayçiçeği hassas gübreleme. M.Sc. Thesis, İstanbul Technical University Institute of Informatics, Turkey.
• [2] Oğuz, İ. (2021). Softtech Teknoloji Raporu 2021. Available online with updates at https://softtech.com.tr/2021-softtech-teknoloji-raporu/
• [3] Deichmann, U., A. Goyal., D. Mishra. (2016). Will digital technologies transform agriculture in developing countries? Policy Research Working Paper. pp.7669-22.
• [4] Ogorodnikov, E., G. Zaloznaya, J. Singaeva, A. Bart., E. Dmitrieva. (2020). Digital technologies in the agricultural sector of the Russian Federation. E3S Web of Conferences. 175:1-10.
• [5] Vorotnikov, I. L., N. V. Ukolava, S. V. Monakhov, J. A. Shikhanova., V. V. Neyfeld. (2020). Economic aspects of the development of the “Digital Agriculture'' system. Scientific Papers Series Management, Economic Engineering in Agriculture and Rural Development. 20:633-637.
• [6] Boyacı, M., Ö. Yıldız. (2010). Tarım danışmanlarının bilişim ve iletişim teknolojilerini kullanma eğilimleri. Türkiye IX. Tarım Ekonomisi Kongresi. pp. 580-587.
• [7] Erdem, İ. (2017). Endüstri 4.0 ve tarım 4.0 çerçevesinde Türkiye ekonomisinin büyümesinde imalat sanayi ve tarım sektörünün geleceği. M.Sc. Thesis, Nuh Naci Yazgan University Institute of Social Science, Turkey.
• [8] Tarım Kredi Kooperatifleri. (2020). Tarım için dijital çözüm. Available online with updates at https://www.tarimkredi.org.tr/gundem/blog/tarim-icin-dijital-cozum
• [9] Akıllı Tarım Platformu. (2019). Türkiye’de akıllı tarımın mevcut durum raporu. Available online with updates at http://www.akillitarim.org/tr/
• [10] Çakmak, E. (2010). Tarımsal yayımı geliştirme projesi (targel) kapsamında tarım danışmanlığı sisteminin inceleme ve değerlendirilmesi: Tokat ili örneği. M.Sc. Thesis, Gaziosmanpaşa University Institute of Science, Turkey.
• [11] Özçatalbaş, O., D. Bostan-Budak, İ. Boz., B. Karaturhan. (2010). Türkiye’de tarım danışmanlığı sisteminin geliştirilmesine yönelik önlemler. Ziraat Mühendisliği Teknik Kongre, Turkey. 2: 1-15.
• [12] Artık, A. (2012). Paydaş görüşlerinden hareketle Adana ilinde serbest tarım danışmanlığı sisteminin değerlendirilmesi. M.Sc. Thesis, Çukurova University Institute of Science, Turkey.
• [13] Kara, F. (2012). Arazi toplulaştırma çalışmalarında yapay zekâ uygulamalarının kullanım olanakları: Amasya ili Gümüşhacıköy ilçesi, Keçiköy beldesi uygulaması. M.Sc. Thesis, Ondokuz Mayıs University Institute of Science, Turkey.
• [14] Hayran, S., A. Gül. (2018). Mersin ilinde çiftçilerin tarımsal kredi kullanım kararlarını etkileyen faktörler. Journal of Iğdır University Natural and Applied Sciences. 8:271-277.
• [15] Suárez-Campione, M. (2018). Analysis and possible improvements of the smarteye iot solution. M.Sc. Thesis, Universidad Politécnica De Madrid, Escuela Técnica Superior de Ingeniería de Sistemas Informáticos, Spain.
• [16] Özdoğan, B., A. Gacar., H. Aktaş. (2017). Digital agriculture practices in the context of agriculture 4.0. Journal of Economics, Finance and Accounting. 4:184-191.