Relationship between a healty vegetation index (NDVI) and the productivity of wheat

  • Alfonso Sepúlveda Rivera Ejército de Chile
Keywords: Precision Agriculture, Wheat, Drones-RPAS, Multispectral, NDVI.


Our agriculture is growing by leaps and bounds, this is why technology has become part of in recent years to cooperate using geographic information systems (GIS), performance monitors linked with GPS systems, that provide harvest information automatically and in real time, autonomous systems of nutrient inputs and water resources, all these integrated systems are referred as Precision Agriculture (AP).

For the reason described above, along this study different variables that influence the wheat crop production were processed, with the specific objective of identifying if there IS or NOT a relationship between a high vigor index, calculated using the NDVI method (Normalized Difference Vegetation Index), with its total productivity all this made through diverse controls such as wheat hectoliter weight, using multispectral images, compiled by RPAS Drones or satellite images as well as satellite  images in order to compare the calculation precision.

 The study place is located in the municipality of Yungay, specifically the INIA agricultural area of study named “La Greda”, its central point is located in coordinates UTM 765153.22 m E and 5883174.89 m S Huso 18 South, it has a ratio of 470 m with a total of 64 ha. usable approximately.  It corresponds to an agro-ecological zone in the Andes premountain range; the area has a template climate, inferior mesothermal, stenothermic Mediterranean sub-humid (Santibañez F. y Uribe J.M, 1993).