According to current forecasts food production needs to grow 60% by 2050 to feed the entire population of the planet. This pressing need is going to bring major changes in the agricultural and food production sector in the world. The challenge is to produce more with less, as resources are increasingly scarce and impacts are increasing. In this way, the philosophical principle of Precision Agriculture makes more sense: "To treat different things differently using stable, calibrated and calibrated technologies in order to increase the efficiency of agronomic, economic, environmental and social processes".
From remote sensors (satellites) and close (geoelectrics); of intelligent equipment that manage to manage variable rates (VRT) in the application of factors of production; the Internet of Things (IoT), "machine learning" and other artificial intelligence techniques are currently generated by soil-water-plant relationships. The agronomic act is becoming radically and increasingly based on two types of intelligence, human and artificial, in order to be able to manage large amounts of information in near real time, for a timely and ever smaller decision scratchs.
In association, UÉvora (ECT) and UNova (FCT), based on their long experience and scientific productivity in this field, offer this master students unforgettable pedagogical experiences, as well as a unique preparation in the management of processes and technologies in Precision agriculture with a view to meet the new European challenges in the context of: i) "Green Deal"; ii) "Farm to Fork"; and iii) New CAP.
Course in Association/Partner Institutions:
- Universidade Nova de Lisboa - Faculdade de Ciências e Tecnologias
School of Science and Technology
4 Semesters/120 ECTS credits (78 required in curricular units)
In a broader scope, technology managers in Precision Agriculture; within a narrower scope, may from the professional point of view: i) develop geoelectric surveys in companies that study the spatial variability of the soil, as well as the intelligent study of the spatial variability of its nutrients; (ii) to develop variable application maps (VRT) of nutrients and other factors of production, namely fertilizers and seeds; iii) operate different types of GNSS, either for georeferencing of plots, soil sampling, plants and others; iv) operate different agricultural machinery and equipment, namely in differentiated management of factors of production; v) to develop works at the level of the remote sensors, namely in the processing of satellite images with agronomic applications; vi) to develop works at the level of nearby sensors, namely in monitoring the management parameters (quantity and quality) of the crops; vii) developing work on the processing of large volumes of data, using appropriate programming languages; viii) installing IoT sensors, as well as managing the acquisition of large volumes of information; ix) to work with techniques of artificial intelligence and handling of large volumes of data; (x) develop economic studies in the implementation of new technologies; (xi) to develop applied research in the field of Precision Agriculture.
You can apply for the study cycle that leads to a master's degree in Precision Agriculture Technologies:
a) Holders of a bachelor's degree or legal equivalent in natural sciences, agronomy, agri-food technology or related areas;
b) Holders of a foreign higher academic degree equivalent to a 1st cycle of studies organized in accordance with the European principles of the Bologna Processin the scientific areas referred to in a);
c) Holders of a foreign higher academic degree in the scientific areas referred to in a), which is recognized as meeting the objectives of the degree by the Scientific Councils of FCT NOVA or ECT-UEv;
d) Holders of a school, scientific or professional curriculum in the scientific areas referred to in a), which is recognized as attesting the capacity to carry out this cycle of studies by the competent legal body of the Coordinating Institution, at the proposal of the Master Scientific Committee in Precision Agricultural Technologies