Vol. 1 No. 10 (2026), Articles
Vol. 1 No. 10 (2026)

DIDACTIC MODEL FOR ORGANIZING PRACTICAL CLASSES IN SPECIALIZED SUBJECTS BASED ON “SMART AGRICULTURE”

Articles
Published 2026-10-08
  • Shamsiyeva O’g’iloy
Shamsiyeva O’g’iloy
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Keywords

Smart Agriculture, didactic model, practical classes, IoT, GIS, sensor, agrotechnological data, project-based learning, case study, digital competence.

How to Cite

Shamsiyeva O’g’iloy. (2026). DIDACTIC MODEL FOR ORGANIZING PRACTICAL CLASSES IN SPECIALIZED SUBJECTS BASED ON “SMART AGRICULTURE”. WORLD INTERNATIONAL CONFERENCE ON SCIENCE, TECHNOLOGY AND EDUCATION, 1(10), 19-22. https://doi.org/10.5281/zenodo.23243750
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Abstract

The thesis proposes a didactic model for organizing practical classes in specialized subjects based on Smart Agriculture technologies at higher agricultural education institutions. The model is based on the sequence “Question — Data — Analysis — Decision — Presentation — Reflection.” Students work with real or simulated agrotechnological data using IoT sensors, GIS, digital monitoring, remote sensing, and artificial intelligence tools. This approach is aimed at connecting theoretical knowledge with practical tasks, developing data literacy, and fostering skills for making informed professional decisions.

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References

1. Food and Agriculture Organization of the United Nations (FAO). Smart Farming. – Rome: FAO, 2026.

2. FAO. Two Modern Greenhouses Handed Over to Fergana State University to Boost Smart Farming Research and Education. – 26.09.2025.

3. Li H., Fu X., Zhang Y. Exploring Innovations in the Pedagogy of “Internet of Things Application Technology” Course for Graduate Students Oriented to New Agricultural Science. Higher Education and Practice, 2024. DOI: 10.62381/H241912.

4. Aoki H. Design and Implementation of a Smart Agriculture STEAM Program in Higher Education. IEEE ICCT-Pacific, 2026. DOI: 10.1109/icct-pacific69083.2026.11518618.

5. Arpitha R., Amutha R. Convergence of AI, IoT, and Robotics in Smart Agriculture for Next-gen Engineering Education. Journal of Engineering Education Transformations, 2026. DOI: 10.16920/jeet/2026/v39is4/26128.