Mathematical Modelling in Crop Production to Predict Crop Yields
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU143078" target="_blank" >RIV/00216305:26210/21:PU143078 - isvavai.cz</a>
Result on the web
<a href="http://www.cetjournal.it/cet/21/88/204.pdf" target="_blank" >http://www.cetjournal.it/cet/21/88/204.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3303/CET2188204" target="_blank" >10.3303/CET2188204</a>
Alternative languages
Result language
angličtina
Original language name
Mathematical Modelling in Crop Production to Predict Crop Yields
Original language description
In this study, for remote recognition of crops of agroecosystems in Kazakhstan by methods of comparative and historical analogy with the active use of mathematical modelling, the yield indicator of agricultural crops was determined, their dynamic characteristics were studied to predict productivity. The parameters of the dynamicstatistical biomass model were determined separately for each region of the Republic of Kazakhstan based on training data for 21 y (2000 - 2021). The correlation coefficient between the calculated yield values and the official statistics is 0.84. According to the results of cross-validation, the correlation coefficient between the actual and predicted yield of spring wheat was ∼0.70, which indicates a sufficient resistance of the model to the variability of meteorological conditions for the formation of the crop. © 2021, AIDIC Servizi S.r.l.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20704 - Energy and fuels
Result continuities
Project
<a href="/en/project/EF15_003%2F0000456" target="_blank" >EF15_003/0000456: Sustainable Process Integration Laboratory (SPIL)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Chemical Engineering Transactions
ISSN
2283-9216
e-ISSN
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Volume of the periodical
neuveden
Issue of the periodical within the volume
88
Country of publishing house
IT - ITALY
Number of pages
6
Pages from-to
1225-1230
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85122486264