Effectiveness of Fluroxypyr-Based Herbicides for Efficient Weed Management in Sweet Corn (Zea Mays Saccharata)
Turdieva Nilufar Muminovna; Shernazarova Nargiza Sayfiddinovna; Narmatov Sardor Esirgapovich; Abdumuminova Muqaddam Musurmonovna
2025-08-19
Halaman: 1-7

The aim of this study was to evaluate the effectiveness of various herbicides and weed control in sweet corn crops in the Yashil Ziroat farmer's field in Kibray district of Tashkent region of the Republic of Uzbekistan in 2025. The study developed methods for monitoring weeds and determining opti...

Sweet corn herbicides weeds
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Mapping the Floristic Dynamics of the Dried Aral Sea Bed using Artificial Intelligence and Remote Sensing Technologies
Nuriddin Samatov; Bekhruz Bektashov; Aziz Ibragimov; Khalmuratov Batir
2025-08-23
Halaman: 8-12

The desiccation of the Aral Sea has given rise to new ecological landscapes, demanding modern approaches for monitoring and managing emergent ecosystems. This study applies remote sensing and artificial intelligence (AI) methods to map and assess the vegetation cover across the exposed seabed. Us...

Aral Sea NDVI Artificial Intelligence Remote Sensing GIS Floristic Dynamics Desertification
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Designing A Dynamic Digital Database for Long-Term Monitoring of the Aral Sea Bed Ecosystem using Artificial Intelligence and Geo-Information Systems
Umidkhon Uzbekov; Sadriddinov Bobur; Nuriddin Samatov; Jurabek Tulaev
2025-08-23
Halaman: 13-19

This study presents the development of a centralized, dynamically updateable digital database designed to store, analyze, and visualize ecological information from the dried Aral Sea bed (Orolbo‘yi). The database integrates AI-based classification outputs, satellite image-derived indicators, fiel...

Digital database AI monitoring Aral Sea bed
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