Using drones to protect your investment...
Yes it's time, it's 2018, and the robots are here to stay. But you don't need to call Sarah Conner quite yet. These robots aren't taking our jobs...they're saving our ass.
Drones are solving new problems everyday with extremely accurate data across economically vital industries. Specifically in agriculture, drones have transformed from a neat toy to have on the farm to a crucial data collector.
Each farm and crop is different, but across the board drones are helping farms identify and analyze variables such as plant health, field performance, and plant count.
"Today, time-series animations can show the precise development of a crop and reveal production inefficiencies, enabling better crop management."
From soil and field analysis to nitrogen and irrigation monitoring, drones have the potential to revolutionize the agriculture industry. Integrating drone technology into agriculture can allow farmers to increase yields, monitor and assess potential issues and diseases, and optimize their farm to take on many challenging field conditions . These solutions can be custom built for different crops, field sizes, and other variables.
DRONES - unmanned aerial vehicles(UAV) , or drones can be one of the most useful tools in agriculture. Drones allow farmers and agronomists an aerial view of the field that was previously impossible without expensive or inaccurate technology, such as helicopter or plane flyovers, satellite images. With drones we can complete an aerial scan of the field, and get data on an entire farm rather than sample specific areas.
NDVI - Along with aerial images and videos, we will also complete an NDVI scan of your field. This data can then be used to generate a map catered to your needs, including Plant Health, Field Performance, or Plant Count. An NDVI sensor uses infrared and red light to measure chlorophyll levels of the vegetation. This allows us to measure plant health and other factors.
Ground Truthing is necessary when problem area of the fields have been identified either thru NDVI data or soil sampling. High res photographs are taken on location at each identified area. This allows for closer analysis of each area and the ability to identify problems.
Monitor plant health throughout the season by utilizing NDVI data to identify infestations or over stressed plants.
A sugar beet grower in Idaho used drones to detect pests and prevent lost revenue of nearly $60,000 on his 185 acres of sugar beet crop.
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Develop plant counts and surveys in order to forecast and track row based crop yield.
The Department of Plant Sciences at the Technical University of Munich present their findings on UAV mapping for maize plant counts.
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