dots-horizontal

AGMRI Helps Assess Placement of Hybrids

Planning is a critical part of every farming operation, and having accurate information helps farmers make decisions. Determining where to plant different hybrids in a field can have a significant impact on yield potential, so it’s best to make the placement decision with as much information as possible.

AGMRI gives users the option to compare multiple analytic maps of their fields side-by-side, which can reveal important information relevant to hybrid planting. For example, by comparing topographical and vegetation maps, farmers can see how their chosen hybrids are emerging across various field elevations. This can help determine which hybrids perform best in varied field conditions and elevations, impacting future planting decisions across the field.

“A lot of growers like to use AGMRI to figure out differences between hybrids so they can use that information to figure out their placement the following year,” says Conner Schmidt, account manager for Intelinair.

 

 

By comparing the topography map to the vegetation map, AGMRI users can see where hybrids have emerged well and are establishing a strong stand.

Lower areas of fields typically retain more moisture, so it’s important to find a hybrid that can better tolerate those conditions. Looking at the elevation of a field compared to the emergence map, users can see which hybrids are best tolerating the wet soil in the low-lying areas of the field.

 

 

AGMRI shows that one hybrid emerged better in the lower areas of the field.

“When looking at the vegetation map early in the season, we don’t see a lot of differences in the higher elevation,” says Schmidt. “But as we get into some of this low ground, we can start to see that one hybrid is doing worse than the other in terms of emergence.”

Using AGMRI, this farmer gained new insights into his fields and additional information to help decide which hybrid to plant in various areas of them.

Share This Article

RELATED BLOG POSTS

Variable Dry Down

variable dry down

Crop dry down detection analytics indicate the field has started to dry down based on Aerial RGB image turning brown.

Low Crop Health

low crop health

Analytics show lower plant biomass compared to other parts of the field which may be indicative of crop health concerns. Causes may include, but not limited to, nutrient deficiency, pest pressure, or drought. 

Nutrient Deficiency

nutrient deficiency

Analytics indicate low crop vigor and leaf discoloration which is an indicator of nutrient deficiency.

Disease Risk

disease risk

Thermal imagery and weather patterns detect potential disease risk in the field.

Thermal Risk

thermal risk

Thermal imagery detects elevated heat patterns which can be indicative of crop stress.

Low Crop Health

low crop health

Analytics show lower plant biomass compared to other parts of the field which may be indicative of crop health concerns. Causes may include, but not limited to, nutrient deficiency, pest pressure, or drought. 

Weed Escape

weed escape

Plant material believed to be weeds is marked according to density on the Weed Map. If a field has recently been sprayed with herbicide per available machine data and there are weeds detected, an alert will trigger a notification.

Weed Map

weed map

Plant material believed to be weeds is marked according to density on the Weed Map. If a field has recently been sprayed with herbicide per available machine data and there are weeds detected, an alert will trigger a notification.

Low Emergence

low emergence

Infrared imagery shows missing plants or low biomass, which may indicate poor emergence.

Stand Assessment

strand assessment
AGMRI uses Row Tracer technology to detect established rows, evaluates established plants using Infrared layer and NDVI.