GIS – NDVI Nutritional Maps

With GIS (Geographic Information System) and NDVI (Normalized Difference Vegetation Index) services, diagnostic maps indicating the distribution and evolution of nutrients in the soil and plant can be consulted throughout the crop cycle, aided by an advanced interactive online platform.

Our fertility maps are a precise agricultural tool, indispensable for detecting a crop’s nutritional status. Working with them achieves the greatest accuracy, resulting in increased agricultural productivity and sustainability.

At AGQ Labs we design customized programs, consistent with the needs and characteristics of your crop and phenology, based on the results obtained in the georeferenced maps. By applying our technical recommendations, you’ll succeed in optimizing your use of water and inputs. What you contribute will be exactly what your crop needs: nothing more and nothing less.

Evolution in Nutrition and Fertility

The GIS (geographic information system) service allows AGQ Labs to offer fertility maps to its clients through an analysis of the terrain, starting with georeferenced points. We perform a GIS study of the soil’s nutritional availability and composition throughout the area observed, analyzing all elements of interest. Similarly, georeferenced mapping of leaves allows us to interpret the nutritional situation of the crop at any phenological state.

NDVI (normalized difference vegetation index) is an indicator of a plant’s photosynthetic activity and offers nutritional information. Graph representation of a plant’s photosynthetic activity, coupled with nutritional analyses of leaves, provides important information on the status of the vegetation and of the plant’s nutrition. This system makes it possible to quickly and effectively control large areas or zones, with the possibility of combining all the data and comparing the data sets to one another.

• Identification of zones with a deficit, normal, or excess quantities of each nutrient
• Adjustment for modifications to the farm’s features
• Optimization of fertilizer applications
• Control of foliar nutritional evolution
• Evaluation of saline zones
• Indicator for establishing new crops and varieties
• Correlation between nutritional status, yield, and quality