SAN LEANDRO, Calif. – Crop scouting and field monitoring are among the most time-consuming tasks for growers and agronomists. It is difficult to cover every acre timely enough to catch potential issues before they become major problems. A partnership between FluroSat and TerrAvion may take the stress out of scouting and help better focus scouting efforts.
TerrAvion is an aerial and satellite imagery company. Depending on geography, weather and flight plans, they provide weekly or bi-weekly aerial images of fields and crop progress. They also capture satellite imagery of fields every few days.
FluroSat is an analytics company that focuses on agronomy.
“We turn large amounts of data into predictive analytics,” said Dr. Anastasia Volkova, founder and CEO of FluroSat, during a recent interview. “Agronomists and farmers collect a ton of data and there is no good way of capitalizing on that data. “There is not good way of turning that into valuable insights, let alone useful projection for when something happens and that is what we do.”
The FluroSat program, FluroSense, uses data collected by growers and agronomists who utilize weather data, and now TerrAvion’s aerial imagery to predict potential crop issues and develop treatment recommendations.
“Our partnership with TerrAvion means that the data will be coming in, not just automatically, but now growers have the opportunity to get their farms set up on TerrAvion and have them monitored by the FluroSense analytics,” said Volkova.
This means as field images are being taken, the program’s artificial intelligence software reads the image and looks for problem areas. It will also use field history to zero in on known problem areas.
If a problem is suspected in a field, it sends an alert to the grower or agronomist and they can go to that specific location to check it out for themselves.
The program will also generate treatment plans for those areas.
“We have a couple of modules, one of which is a nutrient recommendation module that takes care of nitrogen, and the other is a crop stress module,” she said. “The way the crop stress modules work is they looks at a variety of symptoms that could indicate what type of stress you are looking at.”
The program will actually start to learn individual fields as well as the grower knows them. It will keep a record of issues and use that to predict future problems.
Volkova explains that if a grower had drone or aerial imagery the previous year and there was stress issue, those images can be pulled into FluroSense and the program will recognize that area and that issue in future growing seasons.
“The algorithm will learn that your farm is prone to developing this disease, rather than just weeds or nutrient deficiency,” she said. “The way it detects stress in the first place is it looks at the change that happened, the location of the stress, the elevation layers and weather information available for the field, looking at understanding where the stress has occurred.”
Location is important, because what a corn disease in Texas looks like may be similar to another issue in the Midwest, or it may look like a completely different issue elsewhere in the world.
The FluroSense analytics can be scaled down to look at a farmer’s individual field location, no matter the size. It can get very specific to a meet growers’ needs and it is tailored to agronomic workflows to assist growers in remedying any issue quickly.
The program is designed to be easy to use and walks growers through inputting whatever data they may have and then can easily incorporate TerrAvion’s imagery.
If a grower is already using TerrAvion imagery, if is very easy to access and sign up for FluroSense.
There is also a 30-day free trial available on the website, flurosense.com.
“It is very accessible and easy for growers to test drive,” said Volkova.