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The study investigates the use of vegetation indices (VI) and remote sensing data to enhance the assessment of grapevine health in vineyards, particularly those with grass-covered inter-rows. By analyzing NDVI and other indices alongside soil data from vineyards and adjacent grasslands, the research aims to improve predictions of plant stress and yield. Machine learning techniques were employed to refine the accuracy of measurements, revealing significant correlations between vegetation health and environme

Author
khulelidzeluka
Language
EN

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