Zobrazeno 1 - 10
of 27
pro vyhledávání: '"MAMAT Sawut"'
Autor:
Jiaxi Liang, Mamat Sawut, Jintao Cui, Xin Hu, Zijing Xue, Ming Zhao, Xinyu Zhang, Areziguli Rouzi, Xiaowen Ye, Aerqing Xilike
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract Fruit tree identification that is quick and precise lays the groundwork for scientifically evaluating orchard yields and dynamically monitoring planting areas. This study aims to evaluate the applicability of time series Sentinel-1/2 satelli
Externí odkaz:
https://doaj.org/article/cf768ac7c8f54eb59afb2fcc96bce742
Publikováno v:
Agronomy, Vol 14, Iss 8, p 1664 (2024)
Water scarcity is one of the most significant environmental factors that inhibits photosynthesis and decreases the growth and productivity of plants. Using the deep learning convolutional neural network (CNN) model, this study evaluates the ability o
Externí odkaz:
https://doaj.org/article/7743838c363344baa3b3cb961e8944d2
Autor:
Ilyas Nurmemet, Abduwasit Ghulam, Tashpolat Tiyip, Racha Elkadiri, Jian-Li Ding, Matthew Maimaitiyiming, Abdulla Abliz, Mamat Sawut, Fei Zhang, Abdugheni Abliz, Qian Sun
Publikováno v:
Remote Sensing, Vol 7, Iss 7, Pp 8803-8829 (2015)
Soil salinization is one of the most widespread soil degradation processes on Earth, especially in arid and semi-arid areas. The salinized soil in arid to semi-arid Xinjiang Uyghur Autonomous Region in China accounts for 31% of the area of cultivated
Externí odkaz:
https://doaj.org/article/9bdc43f962a6405b92fa54d27f14cb62
Autor:
HE Xu-Gang, MAMAT Sawut, XIA Zi-Yang, SHI Jun-Yin, HE Xiao-Ning, SHENG Yan-Fang, LI Rong-Peng
Publikováno v:
Acta Agronomica Sinica; 2023, Vol. 49 Issue 12, p3352-3363, 12p
Publikováno v:
Laser & Optoelectronics Progress. 59:0530001
Estimating the Leaf Area Index of Winter Wheat Based on Unmanned Aerial Vehicle RGB-Image Parameters
Publikováno v:
Sustainability
Volume 11
Issue 23
Volume 11
Issue 23
The leaf area index (LAI) is not only an important parameter for monitoring crop growth, but also an important input parameter for crop yield prediction models and hydrological and climatic models. Several studies have recently been conducted to esti
Publikováno v:
Computers and Electronics in Agriculture. 171:105275
Nitrogen is the key biochemical component of chlorophyll, protein and enzymes, and it is widely used as an indicator of photosynthesis and plant nutrient levels. Hyper-spectral data-based estimation of nitrogen allows for a low-cost, effective and en
Autor:
Jumeniyaz Seydehmet, Abdulla Abliz, Guang Hui Lv, Tayierjiang Aishan, Abdugheni Abliz, Ilyas Nurmemet, Mamat Sawut, Mamattursun Eziz
Publikováno v:
Sustainability; Volume 10; Issue 3; Pages: 656
Sustainability, Vol 10, Iss 3, p 656 (2018)
Sustainability, Vol 10, Iss 3, p 656 (2018)
Significant anthropogenic and biophysical changes have caused fluctuations in the soil salinization area of the Keriya Oasis in China. The Driver-Pressure-State-Impact-Response (DPSIR) sustainability framework and Bayesian networks (BNs) were used to
Autor:
依克丽曼·阿布都米提 Yikiliman Abudoumiti, 尼格拉·塔什甫拉提 Nigela Taxipulati, 马依拉·热合曼 Mayila Reheman, 依尔夏提·阿不来提 Yierxiati Abulait, 马春玥 Ma Chunyue, 买买提·沙吾提 Mamat Sawut
Publikováno v:
Acta Ecologica Sinica. 38
Autor:
Matthew Maimaitiyiming, Abduwasit Ghulam, Fei Zhang, Jianli Ding, Mamat Sawut, Tashpolat Tiyip, Yan-jun Zhang
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 33:203-210
a b s t r a c t Sand content is a textural property of soils closely related to soil quality. A fast determination of sand content at large scales is paramount importance for monitoring soil degradation to improve agricultural practices. The main obj