METHODS FOR ASSESSING AUTUMN WINTER WHEAT YIELD PARAMETERS BASED ON MODERN GEOSPATIAL ALGORITHMS
Keywords:
satellite images, crop model, DSSAT, harvest index, cartographic assessment, food security, regression model.
Abstract
Scientific and practical research aimed at ensuring food security, based on modern methods such as global satellite data, mathematical algorithms, are important. In this study, crops growth and yield parameter were assessed using process base model DSSAT with weather, satellite and yield data obtained at field. The main types of winter wheat cultivars were classified and growth parameters and yield predicted using regression models
References
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2. Di Paola, A., Valentini, R., & Santini, M. (2016). An overview of available crop growth and yield models for studies and assessments in agriculture. Journal of the Science of Food and Agriculture, 96(3), 709–714. https://doi.org/10.1002/jsfa.7359
3. Thimme Gowda, P., Satyareddi, S. A., & Manjunath, S. (2013). Crop Growth Modeling: A Review. Research and Reviews Journal of Agriculture and Allied Sciences, 2(1), 1–11.
Published
2024-03-30
How to Cite
Navbohor JMANIYAZOVA, Murodjon SULTANOV, & Temur MATKURBANOV. (2024). METHODS FOR ASSESSING AUTUMN WINTER WHEAT YIELD PARAMETERS BASED ON MODERN GEOSPATIAL ALGORITHMS. News of the NUUz, 3(3.1), 47-50. https://doi.org/10.69617/uzmu.v3i3.1.1707
Section
Articles
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