Talk · IEEE International Conference on Smart Information Systems and Technologies · May 4, 2023
Digital Technology in Agriculture: An Approach to Modelling Crop Productivity on Trace Elements Contaminated Soil
Chingiz Nurzhanov, Lyazat Naizabayeva, Talgat Zh. Mazakov
Abstract
The article focuses on the use of climate data in modelling crop productivity and highlights the im-portance of continuous incoming meteorological infor-mation in predicting crop yields. The purpose of Article is to evaluate the challenges and potential of utilizing big data using climate data as an ex-ample for modelling crop productivity on contaminated sites with trace elements. The “MiscanCalc” and “Group Method of Data Han-dling” were developed to predict crop yields on soils con-taminated with toxic elements using meteorological data. These models evaluate the impact of climate data on bio-mass production, ripening and harvest periods, estimate future crop yields, and identify the predictors that have the greatest influence on these indicators.
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