Digitalisation, big data, and modeling
The use of sensors in agriculture is a technology with great potential for monitoring nutritional and crop water status and facilitating decision making. The combination of nutritional and water-stress indices can improve the prediction of crop nutritional status, allowing the dose of fertilizer to be identified and applied. On the other hand, it is possible to monitor crop status using vegetation indices thanks to the development of analysis and modelling tools for big data from mobile phones, remote sensing, climate data, etc. Another important aspect of this new digital era is the development of models that provide early warning of climate variability or decision making, which also consider the production and environmental elements of intelligent agriculture.
CEIGRAM offers different lines of collaboration with companies, researchers, and agents in the sector to make the transition to a climate-smart and digitalised agriculture.