Agricultural Data Analyst
Agricultural Data Analysts use data and imagery collected by remote sensing to monitor the quality of agricultural land and the changes it undergoes to inform farmers on the most effective use of land and aid environmental and conservation research.
With the increasing development and quality of data available from remote sensing we are increasingly able to monitor the quality of the land being used for agriculture.
Satellite images are very important in precision agriculture which uses remote sensing and satellite imagery to improve crop yields and reduce production costs. Satellite images can be used to map large areas of land and track the changes of soil and crop health over time, it can also be used to detect and monitor the presence of pests and inform decisions on the most effect use of land.
Using both visual and infrared imaging healthy vegetation can be mapped and the Normalised Difference Vegetation Index (NDVI) determined which gives information on the varying crop health of a plot of land. This is due to unhealthy crops reflecting less infrared light than healthy crops.
With improving satellite imagery, food production has been revolutionised in both large and small scale production which is critical for an expanding population and is an increasingly essential use of satellite imagery and remote sensing.
Skills of an Agricultural Data Analyst
- Interest and understanding of agriculture
- Computer processing
- Data analysis
- Computer modelling
Routes into Agricultural Data Analysis
An academic background in science or environmental sciences would be useful, with experience in processing large amounts of data.