The application of remote sensing methods for monitoring agricultural lands in Akermen village, Zhambyl region of the Republic of Kazakhstan
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DOI:
https://doi.org/10.32523/2789-4320-2022-4-123-133Keywords:
remote sensing, agricultural lands, crop yield quality, Kazakhstan, agricultural output, Z-test, t-test, rejection region analysis, sample standard deviationAbstract
The research purpose is to prove that the application of the remote sensing techniques is going to improve the crop yield quality. The research methodology is based on econometric and statistical analysis techniques. The research value is based on the fact that the remote sensing techniques may help to improve the food security which has strategic importance both on the national and global scales. The research findings demonstrate that at 5% significance level applying the remote sensing at all stages of the crop cultivation is significantly better than not applying the remote sensing at all. Moreover, applying the remote sensing under the supervision of the data analysts at all stages of the crop cultivation provides higher crop yield quality score than not using the remote sensing components at 95% confidence interval. Finally, the research results demonstrate that training staff plays crucial role for maintaining the efficiency of the crop yield output.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.