The purpose of this paper is to present the demarches performed and planned to be accomplished through the INSAC-AGRIS project (funded by EUREKA program) in regard to an integrated autonomous system able to correlate DAQ from ground and air and to design a pattern capable of triggering differentiated application of additives and/or water to proposed crops in order to achieve best-optimized harvesting yield. The debute phase of the study shows the steps and methodology of preparing the preliminary plot maps, soil sampling and soil characteristics maps. The very practical aspect of this research is to provide to farmers the opportunity for better supervision of plants by analyzing plant characteristics, plant population, weediness level, field health, growth problems, diseases, involved pest or insects, vegetation indices, all completing the necessary information portfolio for model creation and building the prediction algorithms, protecting in this way the nature and increasing soil protection as well as optimizing economic activities in the SMART agriculture area.
The experimental phase is developed in parallel in Hungary and Romania for a period of 4 years, using several experimental crops (wheat, rapeseed, green peas, corn, sunflower), the integrated system usability and scalability for later use being clear and proved.