Crop Health

Yield loss can be caused in a variety of ways, but the first step in preventing it is information delivered at the right time. With our crop health systems, we seek to provide actionable information as quickly as possible. Besides normal health monitoring, we can also help you assess storm damaged crops for insurance claims as well as identify issues with drainage.

In this particular field, there is new tile that was put in a couple years ago. It is apparent that there is blockage near the center that caused flooding after a rainy growing season. Once the crops are harvested, it will be possible to go to the problem area and fix the issues.

Soybean field, early September 2016

Soybean field, early September 2016

 

Investigate and measure damaged areas

Sometimes assessing crop damage simply takes a perspective you cannot get from the ground. With a drone, it becomes possible to zoom into an area in the middle of a 40 acre field and start the investigation process. You can even measure problem areas to estimate the possible impact on yield and identify possibly strategies for remediation.

In this example, we can see that 2514.9 square feet or 0.058 acres is damaged.

 

NDVI imaging

Normalized Difference Vegetation Index (NDVI) is a calculation used to monitor plant health. Originally developed using imagery from NASA's Landsat-1 satellite, NDVI uses reflected light to estimate the health of vegetation based on the amount of red visible light and infrared light reflected by the plants.

Visible light NDVI is primarily useful for identifying areas of a field that should get closer examination. There are a variety of factors that can result in false positives from visible light NDVI calculations. Infrared light NDVI requires special cameras or additional camera filters to collect the appropriate data not typically found on consumer or prosumer drones.