Today, the average farmer/scout/crop consultant in the US spends close to 1,000 hours over the course of a season by foot, or pickup, manually inspecting their fields for pest and disease. Even at an average cost of $50/hour, the investment in scouting is well justified since pest and disease infestations can spread rapidly through a growers fields if they go undetected. When this occurs, the grower must respond in a timely fashion to prevent other acres from being consumed by the stress inducing condition. For every day that the farmer does not act, $1000s in potential yield is being lost.

Current scouting methods are not only operationally exhaustive, they lack precision. Samples are taken and generalized to broader acreages. The larger the farm, the larger the generalizations. There is an estimated 3%-10% impact to the bottom line that can be attributed to a lack of precision in scouting in the US, with a greater lack of precision in developing countries.

Skycision aids growers...
Today, the average farmer/scout/crop consultant in the US spends close to 1,000 hours over the course of a season by foot, or pickup, manually inspecting their fields for pest and disease. Even at an average cost of $50/hour, the investment in scouting is well justified since pest and disease infestations can spread rapidly through a growers fields if they go undetected. When this occurs, the grower must respond in a timely fashion to prevent other acres from being consumed by the stress inducing condition. For every day that the farmer does not act, $1000s in potential yield is being lost.

Current scouting methods are not only operationally exhaustive, they lack precision. Samples are taken and generalized to broader acreages. The larger the farm, the larger the generalizations. There is an estimated 3%-10% impact to the bottom line that can be attributed to a lack of precision in scouting in the US, with a greater lack of precision in developing countries.

Skycision aids growers in detecting crop stress 3-5 weeks earlier by analyzing spectral drone and satellite collected imagery to monitor crop stress. The imagery we collect ana- lyzes values of reflectance in the infrared region of light which is highly correlated to chlorophyll content. When we recognize deviations, our system can generate an auto- alert to the grower that pinpoints the exact area of their field where stress exists.

The imagery is calibrated for light intensity so the values of infrared and thermal imagery remain consistent over time. Deep Learning algorithms are deployed to correlate the progression of image data with environmental and field data sources to optimize irriga- tion, predict yield, and auto-classify threats in a growers field.

Our turnkey SaaS solution enables the farmer to procure any DJI drone, simply tap the field they’d like to fly and the drone will take off, collect imagery, and land all on its own. The process saves labor costs in scouting, enhances yield potential through the early detection of stress, and leverages aggregated data to optimize field inputs, effectively reducing costs and optimizing yield capability.
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