SOYBEAN YIELD MONITORING FROM REMOTE SENSORS

This work seeks to generate models that allow forecasting pre-harvest soybean crop yield. The impact of meteorological factors on the variability of Conversion Efficiency (CE) will be explored. The contribution of Absorbed Photosynthetically Active Radiation Absorbed (APAR) and CE in the prediction...

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Detalles Bibliográficos
Autores principales: Calabrese, L., Oesterheld, M., Piñeiro, G.
Formato: Artículo revista
Lenguaje:Español
Publicado: Faculta de Ciencias Agropecuarias. Secretaría de Ciencia y Tecnología. 2024
Materias:
absorbed radiation
remote sensing
soybean crops
conversion efficiency
radiación absorbida
sensores remotos
cultivos de soja
eficiencia de conversión
Acceso en línea:https://revistas.unc.edu.ar/index.php/nexoagro/article/view/45177
Aporte de:
Nexo agropecuario de Universidad Nacional de Córdoba
Descripción
Sumario:This work seeks to generate models that allow forecasting pre-harvest soybean crop yield. The impact of meteorological factors on the variability of Conversion Efficiency (CE) will be explored. The contribution of Absorbed Photosynthetically Active Radiation Absorbed (APAR) and CE in the prediction of these models will be analyzed, and how phenology influences this process. In addition, the pre-harvest prediction capacity and scope of these models will be evaluated.

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