Automatic image processing for agriculture through specific ENVI modules (add-on)

Abstract

Precision agriculture takes into account the spatial variability of biotic factors (weeds, pathogens) and of abiotic factors (nutrients, water content), and it uses diverse technologies to apply fertilisers, pesticides or other inputs at variable rates, fitted to the needs of each small-defined area (“micro-plot”). The economic and environmental benefits of precision agriculture are widely accepted. Remote sensing could become an important tool in precision agriculture applications only if specific modules are developed to automate image processing. The aim of this presentation is to outline the contribution of our research group in the development of ENVI® add-on for precision agriculture, as follows: 1) CLUAS®, for clustering and assessment orchards units; 2) SARI®, for sectioning and assessment images of annual crops; 3) AUGEO-2.0®, to increase the image georeferencing accuracy; and 4) CROPCLASS®, to isolate and assess individual agriculture plots before precision processing. These modules are free for research groups upon request.