Description

Remote sensing data (from satellites and or aerial drones) can help farmers act immediately on localised issues like irrigation and fertilisation, and this can help maximise efficiency and reduce costs. This project is about the analysis of remote sensing data relating to crops to derive physical and chemical properties of the soil, such as density, composition, nutritional level, alkalinity and contamination, groundwater, and properties of the plants/crop, and then use this information to guide more precise treatments such as irrigation and fertilisation.

Key Objectives

Some very high level objectives are:

• finding the appropriate sources of data, and implementing appropriate interfaces to read the data;

• developing machine learning approaches to process the data and model area treatments and productivity.