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РАҚАМЛИ ТЕХНОЛОГИЯЛАРНИ ҚЎЛЛАШ ОРҚАЛИ ҚИШЛОҚ ХЎЖАЛИК ЭКИНЛАРИ МОНИТОРИНГИНИ ТАШКИЛ ЭТИШ

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MAQOLA ANNOTATSIYASI

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В статье рассмотрены вопросы организации мониторинга сельскохозяйственных культур с использованием современных цифровых технологий и материалов дистанционного зондирования путем изучения опыта Китая, Европейского союза, США и других развитых стран, разработаны рекомендации по проведению в Узбекистане мониторинг сельскохозяйственных культур с помощью дистанционного зондирования.

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Foydalanilgan adabiyotlar

1. Wu, Bingfang & Meng, Ji-hua & Li, Qiangzi & Yan, Nana & Du, Xin & Zhang, Miao. (2014). Remote sensing-based global crop monitoring: Experiences with China’s CropWatch system. International Journal of Digital Earth. 7. 10.1080/17538947.2013.821185.

2. Wu, B. F. 2000. ‘‘Operational Remote Sensing Methods for Agricultural Statistics.’’ Acta Geographica Sinica 55 (1): 2335.

3. Li, Congcong & Li, Hongjun & Li, Jiazhen & Lei, Yuping & li, Chunqiang & Manevski, Kiril & Shen, Yan-jun. (2019). Using NDVI percentiles to monitor real-time crop growth. Computers and Electronics in Agriculture. 162. 357-363. 10.1016/j.compag.2019.04.026.

4. Wolanin, Aleksandra & Camps-Valls, Gustau & Gómez-Chova, Luis & Mateo-Garcia, Gonzalo & Tol, C. & Zhang, Yongguang & Guanter, Luis. (2019). Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations. Remote Sensing of Environment. 225. 441-457.

5. Robinson, Nathaniel & Id, Brady & Allred, & Jones, Matthew & Moreno, Alvaro & Kimball, J. & Naugle, David & Erickson, Tyler & Richardson, Andrew & Thenkabail, Prasad & Kumar, Lalit & Mutanga, Onisimo. (2017). A Dynamic Landsat Derived Normalized Difference Vegetation Index (NDVI) Product for the Conterminous United States. Remote Sensing. 10.3390/rs9080863.

6. Seo, Bumsuk & Lee, Jihye & Lee, Kyung-Do & Hong, Sukyoung & Kang, Sinkyu. (2019). Improving remotely-sensed crop monitoring by NDVI-based crop phenology estimators for corn and soybeans in Iowa and Illinois, USA. Field Crops Research. 238. 113-128.

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