Microbe-based organic cultivation of fruit and vegetable crops
Genomic selection of wheat varieties for robustness, yield and quality
To develop an integrated plant protection optimisation system for precision agriculture that combines meteorological data, readings of a novel pesticide application efficiency sensor and cloud computing.
An innovative viticultural plant protection decision support system, based on intelligent adaptation of prediction models to local conditions according to analysis of remotely sensed, meteorological and field observations data
The objective of the project is to develop a model and solution of precision agriculture (using sensors and it solutions) for two crops (sweet corn in hungary and tomato in portugal) to foster sustainable production, determining factors effect on yield and quality comply with food industry needs.