Monitoring the Onset of Phenological Phases “Stem Elongation” and “Heading” of Winter Wheat in the Republic of Armenia Using Remote Sensing Methods DOI
И.И. Середа

AgriScience and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 317 - 325

Published: Jan. 1, 2024

Winter wheat constitutes a significant share of Armenia’s grain production, but can be severely affected by the spread fungal diseases. According to recent scientific studies, methods based on dynamics spectral signatures crops allow for timely detection early signs crop diseases, prevention epidemiological threats, and minimization economic losses. The paper addresses problem determining optimal monitoring periods phytopathogens across republic Armenia using these methods. study covers various regions Armenia, taking into account their climatic agronomic characteristics, as Normalized Difference Vegetation Index (NDVI), weather conditions digital elevation model. data show potential timing key phenological stages in winter development, which is essential this type monitoring. Cartographic materials have been created indicate recommended start dates monitoring, average from 2018-2024. also outlines necessary steps improve outcomes proposed methodology, well actions implementing approach practice.

Language: Английский

Monitoring the Onset of Phenological Phases “Stem Elongation” and “Heading” of Winter Wheat in the Republic of Armenia Using Remote Sensing Methods DOI
И.И. Середа

AgriScience and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 317 - 325

Published: Jan. 1, 2024

Winter wheat constitutes a significant share of Armenia’s grain production, but can be severely affected by the spread fungal diseases. According to recent scientific studies, methods based on dynamics spectral signatures crops allow for timely detection early signs crop diseases, prevention epidemiological threats, and minimization economic losses. The paper addresses problem determining optimal monitoring periods phytopathogens across republic Armenia using these methods. study covers various regions Armenia, taking into account their climatic agronomic characteristics, as Normalized Difference Vegetation Index (NDVI), weather conditions digital elevation model. data show potential timing key phenological stages in winter development, which is essential this type monitoring. Cartographic materials have been created indicate recommended start dates monitoring, average from 2018-2024. also outlines necessary steps improve outcomes proposed methodology, well actions implementing approach practice.

Language: Английский

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