Microcontrolled System to Map and Monitor Normalized Difference Vegetation Index (NDVI) in Pasture Areas

The vast territorial extension of Brazil is also a positive factor, but there is room for improvement through technological implementations. This work proposes monitoring the vegetation index (NDVI) by mapping the state of the pasture during the cattle's stay in the field. Measurements obtained with a commercial Greenseeker device are compared and integrated with values extracted from satellite images from the Satveg tool, which has a periodicity of 16 days and a resolution of 250 meters. A function is created to predict the NDVI in the total area based on points collected locally and from the satellite, using the KNN and Kriging algorithms for data fusion and interpolation. The article foresees contributions to the efficiency of agricultural production, allowing correct livestock management based on NDVI mapping. Additionally, results from previous simulations of analog circuits are presented for developing the NDVI measuring instrument. Future work aims to use the embedded system to automatically collect NDVI data and generate the Map presented here.