CONTEMPORARY APPROACHES TO PASTURE RESEARCH

Authors

  • Jaksibaev R.N. Karakalpak State University named after Berdakh, Uzbekistan

Keywords:

pasture, geographic information system, remote sensing, PHP programming language

Abstract

This thesis explores the development of the Automated Pasture Information System (APIS) to enhance pasture management using Geographic Information Systems (GIS) and remote sensing technologies. APIS gathers and analyzes data on pasture productivity, soil salinity, and surface temperature, presenting the information in an accessible format. The system is built on a MySQL database, organized into three key modules: NDVI (plant productivity), SI (soil salinity), and LST (land surface temperature). By leveraging these advanced technologies, APIS aims to improve the efficiency of pasture management and address the complex challenges associated with rangeland management.

References

1. Araya S., Ostendorf B., Lyle G. and Lewis M. (2017) “Remote Sensing Derived Phenological Metrics to Assess the Spatio-Temporal Growth Variability in Cropping Fields” //Advances in Remote Sensing, 6, 212-228.

2. Avdan U., and Jovanovska G. (2016). Algorithm for Automated Mapping of Land Surface temperature Using LANDSAT 8 Satellite Data. Journal of Sensors, 2016. pages 8.

3. Jaksibaev R.N., Gabbarov S.N. Geoinformational analysis of the negative effects of the Aral Sea on pastures //Theoretical & Applied Science. – 2021. e-ISSN: 2409-0085 (online), Issue: 06 Volume: 98, Philadelphia, USA. Pp. 356-362.

4. Жақсибаев Р.Н., Габбаров С.Н., Алеуов А.С. Геоахборот тизимлари ва масофадан зондлаш усуллари ёрдамида яйлов ерларни тадқиқ қилишнинг чет эл тажрибалари //«Фан ва жамият», ISSN 2010-720X, №2, 2022. – Б. 41-43.

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Published

2024-09-30

How to Cite

Jaksibaev R.N. (2024). CONTEMPORARY APPROACHES TO PASTURE RESEARCH. Hamkor Konferensiyalar, 1(3), 311–313. Retrieved from https://academicsbook.com/index.php/konferensiya/article/view/315