Agrosmart monitors crops installing different sensors in the fields measuring up to 14 environmental conditions locally to identify the crops microclimate, and real time needs. We combine that with satellite imaging and weather forecast to help farmers make better operational decisions. Our first market was irrigation since we identified we could cause an immediate impact financially and environmentally. That is because Agrosmart decision in irrigation takes into account a more broad analysis, not only considering how much water the plant evapotranspirated, but also how much of this water demand was fulfilled with rain in that plot and how much water is still available in the soil. With the correct understanding of the hidrical needs, Agrosmart tail the recommendations to fit the farmer equipment capacity and the energy discounted rate, giving him the way to maximize the crop potential within his operational limitations. With that, farmers can save up to 60% of water, 40% of energy and increase yields in up to 20%. The return can be noticed already in the first season. By this solution Agrosmart was able to prove its concept and break the barrier to create connected products for farming. Since we have large crop areas with almost none infrastructure, we had to develop our own electronic to read different kind of sensors and have a larger communication range. We use a mesh network where one sensor talk to the other with no need of signal or energy, until they reach our datalogger that requires cell phone signal or any internet access to send the information. With the information arriving every 15min we run the algorithms to make the recommendations. We currently cover 50.000 hectares and by the impact we can cause in the farming operations we have been recognized as the youth leadership in Brazil for digital agriculture being awarded with sustainability prizes and strong corporate partnerships like with Coca Cola. Now as a second step we are introducing new products such as weather forecast, satellite imaging and with the amount of data we collect from real time monitoring, we are feeding a machine learning that is able to identify the patterns within regions and crops all over Brazil to improve intelligence in farming. We have established strong partnerships for channels, as an example Naandajain, Global leader in dripping systems that will not only help sales in Brazil but open doors in LATAM. We are also introducing Hyperspectral technologies in Brazil building a library based in the spectral signature of the tropical crops characteristics.