Smart Data - Utilizing a combination of Airborne sensor imagery capture from drone and satellite, as well as ground based sensors automatically recognized in airborne imagery, and combined with smart processing to automate detection and presciption areas on farmland. The ground based sensors will include identification of soil moisture, nutrients, light, and any other relevant information. They will also contain on board GNSS, and be solar powered. All information including imagery will then be stored in a central and then algorithms run to give health of particular crops.

摘要

#$%^&*AU2017101749A420180201.pdf#####Abstract The idea behind this device is to allow automation and combination of information and data captured from aerial sensors such as a drone, and ground based sensors. By using GNSS information in an Airborne target with automatic feature identification and recognition, as well as soil measurement sensors underneath the device, and combining this with a multi-spectral sensor information, the combined airborne and ground sensors will give a much more accurate analysis of the overall condition of the land. The devices are comprised of a target, visible from aerial imagery, which has an onboard Li GNSS receiver capable of receving correction information in post processing to allow centimetre level positioning, as wel as an on board companion computer to log the GNSS information. Also connected to the companion computer on board are an array of soil measurement senors, capable of measuring PH, Nitrogen, Moisture contect, Electrical conductivity and any other relevant information. All devices will have lOT connectivityto send data backto a central server, includingGNSS location and soil measurements at any given time. This data will be combined with drone flyover information to generate an accurate reporting tool for land owners and agronomists. Page 6