Date: Wed Jul 26, 2017
Time: 1:20 PM - 3:20 PM
Moderator: Joe Lehnert
Austin Rice and Andrew Hellmann of Yield Tech Aerial Services, LLC share their real-world experience as commercial ag drone pilots and discuss what they've learned while building a successful commercial ag drone service company.
Using satellite, fixed wing planes, or UAVs to collect remote sensed imagery to identify zones of change can be incredibly powerful for farmers and agronomists alike. To attempt to completely understand what the imagery is telling us we still must apply applying ground truthing (boots on the ground) with experienced farmers and agronomists to correctly identify the problem zones. While much can be learned from imagery, it still requires a lot of human interaction.
In the future remote sensing won’t be about identifying zones from imagery, but rather to identify specific attribute values such as, plant stand, interplant spacing, weed identification and much more. This digital scouting footprint can then be leveraged against other collected layers of data. For example, with a high-resolution plant stand map we can easily answer the question; What is my corn population by hybrid? What is my corn population by soil type (management zone) and then by hybrid? Was it the population, the hybrid, or both that truly effected my yield? Remote sensing of the future, using real data, will fundamentally change precision agriculture forever.
Satellite imagery is a reliable and permanent source of data, easily accessible to producers, consultants and technicians. The new satellite constellations made available from the 2016/2017 season allow access to high resolution and revisit frequency images.
In a first level of image processing, we obtain green index maps (NDVI) that represent the photosynthetic activity of the crops and allows remote tracking of the development of the crops.
Argentina, Brazil and South Africa are using these tecnologies to support for field visiting and scouting to monitoring weeds, pests and diseases, support for plant counting and re-seeding decisions, waterlogging delineation, variable nitrogen fertilization on corn and wheat, protein estimation and correction on deficiencies on wheat and yield estimations.