(Source: scn.sap.com)
Which brings me to the topic of farm technology, specifically drones. Early in the movie, the hero/farmer/engineer, played by Matthew McConaughey, sees a drone flying low over his farm. He identifies it as an Indian surveillance drone, which he chases, takes control over using his laptop, and dismantles to use the solar cells in his farm. While the implication is that the drone is a military one, he intends to repurpose it for his farm, in a sort of “turn swords into plowshares” moment. There’s been lots of speculation about what this scene means, but what it made me think of is the many uses of drone technology in agriculture. And the fact that agricultural technology of a high order will be required if we don’t want to end up like the communities in Interstellar, facing global food shortages.
Farmers use small aircraft and drones today to collect sensor data (e.g. temperature, humidity) and take aerial pictures of fields that can be analyzed to determine the growth stage of crops, their nitrogen and water requirements, and their health — are they being invaded by Canada Thistle or Palmer Amaranth, are they being infested with armyworms or other pests and, if so, in exactly what parts of the field. Drone service providers in Iowa estimate that drone surveillance of crops enables farmers to identify problems on average two weeks earlier than they would be able to do with terrestrial surveillance methods (i.e. driving around and walking through fields). With a longer window in which to apply crop nutrients or crop protection chemicals, along with specific coordinates of the problem areas, farmers can treat fields in time to prevent additional damage and treat selected parts of fields, increasing yield and saving money by optimizing the application of crop inputs.
Aerial photography has been around for over a century (the first images were taken from 19th century hot air balloons). The technology to analyze aerial images tagged with geospatial coordinates to identify the optimal harvest time or predict outcomes like yield is a much more recent development.
A team of SAP developers in SAP’s Sao Leopoldo, Brazil office have been flying drones from DJI and Brazilian drone supplier Skydrones loaded with sensors and cameras over fields of crops to collect data for analysis. Using commercially available equipment, their drones can take pictures and monitor temperature and humidity in various parts of a field, along with plant height and reflectivity.
All this data can be associated with specific parts of a field as small as 3 square inches. With this type of resolution, farmers could even focus on individual plants. But in a country like Brazil, were some individual fields are so large that 20-30 combines are required to harvest them, the amount of data these drones could potentially collect is staggering. The SAP team uses SAP HANA to manage the drone data because of its capacity to store and analyze huge volumes of data quickly, and also because of the built in engines to process geospatial and image data and do predictive analysis.
Continue Reading at scn.sap.com…
Alan is serial entrepreneur, active angel investor, and a drone enthusiast. He co-founded DRONELIFE.com to address the emerging commercial market for drones and drone technology. Prior to DRONELIFE.com, Alan co-founded Where.com, ThinkingScreen Media, and Nurse.com. Recently, Alan has co-founded Crowditz.com, a leader in Equity Crowdfunding Data, Analytics, and Insights. Alan can be reached at alan(at)dronelife.com