What is it?
Precision agriculture has become an important strategy for improving crop micromanagement, maximizing productivity and optimizing resource allocation (i.e., smart use of irrigation, fertilizers, and pesticides).
Part of the innovation in precision agriculture is the use of sensing technologies such as remote sensing (satellite, UAV imaging), geophysics, and sensor networks.
These technologies provide complementary information on environmental variables related to both plants, soil, carbon and water cycles, through both direct and indirect measurements.
(1) Investigation of soil-plant-atmosphere interactions within an agricultural ecosystem by taking advantage of high-resolution UAV and satellite data, spatially extensive geophysical data and flux towers.
(2) Assessment of the impact of soil heterogeneity on the spatial–temporal variability of plant development and crop yield by using multi-source data integration of remote sensing and geophysical data.
(3) Developing algorithms for mapping plant structural and physiological information.
(4) Investigation and scaling of carbon and nitrogen estimation and monitoring
Example of Papers