MASTACAM PRECISION AGRICULTURE

Lower Costs, Higher Efficiency

PrecAgri_edited.jpg
 
P4MS.JPG

PRECISION AGRICULTURE - MULTISPECTRAL IMAGING AND YOUR NVDI INDEX

Higher Yield, Lower Cost, Better for the Planet - use less fertiliser and become more efficient using Precision Agriculture. From Scouting to precision application.

Get detailed information about Plant Health, Soil Conditions and Irrigation.

You're already too busy - and costs keep rising!

You don't need train and qualify as a drone pilot or invest in the equipment - call us now to get the maximum efficiency from your fields and fertilisers!

VEGETATION INDICES Having quick access to vegetation health data is an indispensable complement to observations in the field, and the results can make or break a harvest. Although an aerial overview alone could help farmers visualize potential problems in their plots, utilising analyses based on multispectral imagery can be much more helpful in understanding variability in the field throughout different growing seasons.

MastaCam provide large numbers of multispectral images which are stitched together to form NVDI maps where each pixel on the map is assigned values depending on their spectral signature. NVDI maps can help reveal critical information about plant health, soil conditions, and irrigation.

NDVI is the most commonly-used vegetation index and gives insight into the chlorophyll content of plants. It accounts for variations in soil background brightness and moisture conditions, especially in areas of low vegetation cover, and is also sensitive to atmospheric effects of aerosols.

AERIAL PERSPECTIVES ARE NOT CREATED EQUAL While traditional agriculture service providers often incorporate satellite-based vegetation health data into the overall assessment, the availability of usable data is completely dependent on the type of professional services that the farm has access to, and favorable weather conditions: clear skies only for the satellite data to be usable. Drones provide a flexible alternative to acquiring multispectral data that is not only of a much higher resolution but is also more consistent across growing seasons. It’s also important to keep in mind the accuracy of your aerial maps, which is often described using Ground Sample Distance, or GSD – the distance between the centers of two consecutive pixels on a map. The smaller the GSD the higher the resolution and accuracy. A commercial satellite can have a GSD of around 30 m/pixel, while a drone can produce a GSD as small as 3 cm/pixel.