Ricerc@Sapienza

Precision agriculture is a relatively new application field characterized by the use of technology to increase productivity and quality of cultures, while making use of specific policies to preserve the environment. One promising application is mapping.
Precision maps are very essential tool in precision agriculture. They assist growers by showing them the exact locations in the farm and give specific information regarding that location. One major characteristic of a precision map is that it consists of geo-referenced data which is used to show information regarding a precise location in a piece of farm as well as information or characteristic of a soil or a crop like the moisture levels, crop yield soil nutrients levels, crop weed distribution and many more.
There are different types of precision maps that farmer can generate. It enables them to see things they could not spot using their own naked eyes, giving them the ability to make quick decisions which are accurate.
The goal in my research is address this problem of crop / weed mapping, identify and map the crop and weed population in the field from different views (using ground and aerial vehicle) and along different time periods.
The mapping of weed populations allows the monitoring of their evolution, which may contribute to the development of management strategies that reduce the competition period with the culture In this context, the objective was to identify and map the population of weeds in order to use such information in localized application of herbicides.
The robots can also cooperate to generate 3D maps of the environment, e.g., annotated with parameters, such
as crop density and weed pressure, suitable for supporting the farmer's decision making.