10.02.2023; Житомир, Україна: IV Міжнародна наукова конференція «Традиційні та інноваційні підходи до наукових досліджень»
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EARLY PREDICTION OF WINTER WHEAT (TRITICUM AESTIVUM L.) GRAIN YIELD USING SPATIAL NORMALIZED DIFFERENCE VEGETATION INDEX

  • Raisa Vozhehova,
  • Pavlo Lykhovyd
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Опубліковано 16.02.2023

Як цитувати

Vozhehova, R., & Lykhovyd, P. (2023). EARLY PREDICTION OF WINTER WHEAT (TRITICUM AESTIVUM L.) GRAIN YIELD USING SPATIAL NORMALIZED DIFFERENCE VEGETATION INDEX. Матеріали конференцій МЦНД, (10.02.2023; Житомир, Україна), 86–87. вилучено із https://archive.mcnd.org.ua/index.php/conference-proceeding/article/view/406

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Анотація

Early yield prediction is an important task of modern agriculture, providing great opportunities for better crop management and enhancing the advantages of the systems of precision agriculture. Yield prediction is possible based on simulation models (e.g., CERES, APSIM and other modeling systems), or empirical models (mathematical models developed using true experimental data received in the field conditions and processed using various statistical and mathematical algorithms, mainly regression analysis, artificial neural networks, etc.) [1–3]. Currently, among numerous empirical models those based on the data of remote sensing (utilizing various vegetation, meteorological, soil indicators computed using satellite imagery) are of a growing importance and demand.

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Посилання

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