Historical county by county yield forecasts.

CIBO National Corn Yield Estimate: 187.9 (bu/ac)

Favorable weather conditions were observed in July with ample rainfall and cooler temperatures as most of the corn belt entered the grain filling stage. These nearly ideal growing conditions are the main factor in CIBO’s predictions of corn yields meeting, or exceeding, typical USDA yields.

*We are showing yields for counties which typically plant at least 25,000 acres of corn-based on the past ten years of crop acreage data from the USDA Farm Service Agency.

EXPLORE COUNTY NUMBERS

The CIBO crop inference engine uses satellite imagery to estimate the planting date of crops for parcels across the corn belt. We adopt cutting edge machine learning techniques to learn patterns from image and crop data, resulting in rich statistical models which we use to generate agricultural information at a large scale, such as the county median planting dates for corn parcels in the corn belt shown here.

*We are showing yields for counties which typically plant at least 25,000 acres of soybeans based on the past ten years of crop acreage data from the USDA Farm Service Agency.

CIBO analyzed the preliminary National Weather Service Storm Reports for the August 10, 2020 derecho to examine potential impacts on corn yields. We used NOAA data to identify affected counties that may have sustained crop damage. These counties are located primarily in Iowa, Illinois and Indiana. We model four different damage scenarios in the affected counties which are displayed in the animation. Compared to our original August yield predictions, we modeled how a 10%, 20%, 30% and 40% crop loss in these counties would impact overall predicted yields for 2020. The animation loops through the different scenarios showing the different impacts by color. Dark blue is higher yield, lighter hues and yellow display lower predicted yields. You can clearly see the path of destruction through Iowa, Illinois and Indiana from the August 10, 2020 derecho. The true extent of the impact on yields won’t be known for several weeks. Some corn may stand back up, affected counties may change and the Storm Reports are still being refined.

*We are showing yields for counties which typically plant at least 25,000 acres of soybeans based on the past ten years of crop acreage data from the USDA Farm Service Agency.

Registered CIBO users are able to run yield simulations on any farm, field or parcel in the US. Results are compared to historical and county averages. County yields are displayed in the map view and are updated with actual weather, including events like the August 10 derecho.

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National Soybean Yield Estimate: 55.0 (bu/ac)

Favorable weather conditions were observed in July with ample rainfall and cooler temperatures as most of the corn belt entered the grain filling stage. These nearly ideal growing conditions are the main factor in CIBO’s predictions of corn yields meeting, or exceeding, typical USDA yields.

*We are showing yields for counties which typically plant at least 25,000 acres of corn-based on the past ten years of crop acreage data from the USDA Farm Service Agency.

EXPLORE COUNTY NUMBERS

The CIBO crop inference engine uses satellite imagery to estimate the planting date of crops for parcels across the corn belt. We adopt cutting edge machine learning techniques to learn patterns from image and crop data, resulting in rich statistical models which we use to generate agricultural information at a large scale, such as the county median planting dates for soybean parcels in the corn belt shown here.

*We are showing yields for counties which typically plant at least 25,000 acres of soybeans based on the past ten years of crop acreage data from the USDA Farm Service Agency.

Weather conditions in the cotton growing regions have been drier than normal, especially in West Texas. These dry conditions in the early part of the growing season resulted in delays in planting and delayed or stunted germination. The dry conditions despite irrigation in some cotton growing locations are resulting in yields that are at or below USDA averages.

*We are showing yields for counties which typically plant at least 25,000 acres of corn-based on the past ten years of crop acreage data from the USDA Farm Service Agency.

EXPLORE COUNTY NUMBERS

CIBO National Corn Yield Estimate: 182 (bu/ac)

The biggest impacts to corn yield predictions in 2020 are the less than ideal planting conditions this spring and the derecho event in August. The overall weather conditions have been ideal for bumper crops. If we hadn’t had either of these two events, we would be predicting record yields throughout the corn-growing region.

*We are showing yields for counties which typically plant at least 25,000 acres of corn based on the past ten years of crop acreage data from the USDA Farm Service Agency.

EXPLORE COUNTY NUMBERS

The CIBO crop inference engine uses satellite imagery to estimate the planting date of crops for parcels across the corn belt. We adopt cutting edge machine learning techniques to learn patterns from image and crop data, resulting in rich statistical models which we use to generate agricultural information at a large scale, such as the county median planting dates for corn parcels in the corn belt shown here.

*We are showing yields for counties which typically plant at least 25,000 acres of corn based on the past ten years of crop acreage data from the USDA Farm Service Agency.

National Soybean Yield Estimate: 54.0 (bu/ac)

The biggest impacts to soy yield predictions in 2020 are the less than ideal planting conditions this spring and the derecho event in August. The overall weather conditions have been ideal for bumper crops. If we hadn’t had either of these two events, we would be predicting record yields throughout the corn-growing region.

*We are showing yields for counties which typically plant at least 25,000 acres of soybeans based on the past ten years of crop acreage data from the USDA Farm Service Agency.

EXPLORE COUNTY NUMBERS

The CIBO crop inference engine uses satellite imagery to estimate the planting date of crops for parcels across the corn belt. We adopt cutting edge machine learning techniques to learn patterns from image and crop data, resulting in rich statistical models which we use to generate agricultural information at a large scale, such as the county median planting dates for soybean parcels in the corn belt shown here.

*We are showing yields for counties which typically plant at least 25,000 acres of soybeans based on the past ten years of crop acreage data from the USDA Farm Service Agency.

Weather conditions in the cotton growing regions have been drier than normal, especially in West Texas. These dry conditions in the early part of the growing season resulted in delays in planting and delayed or stunted germination. The dry conditions despite irrigation in some cotton growing locations are resulting in yields that are at or below USDA averages.

*We are showing yields for counties which typically plant at least 25,000 acres of cotton based on the past ten years of crop acreage data from the USDA Farm Service Agency.

CIBO National Corn Yield Estimate: 172 (bu/ac)

The biggest impacts to corn yield predictions in 2020 are the less than ideal planting conditions this spring, the derecho event in August, and the continued lack of rainfall throughout most of the US in August and September. The continued lack of rainfall combined with the derecho event and the less than ideal planting conditions is likely to result in yields below the USDA average.

*We are showing yields for counties which typically plant at least 25,000 acres of corn based on the past ten years of crop acreage data from the USDA Farm Service Agency.

EXPLORE COUNTY NUMBERS

The CIBO crop inference engine uses satellite imagery to estimate the planting date of crops for parcels across the corn belt. We adopt cutting edge machine learning techniques to learn patterns from image and crop data, resulting in rich statistical models which we use to generate agricultural information at a large scale, such as the county-level median planting dates for corn parcels in the corn belt shown here.

*We are showing planting dates for counties which were estimated to plant at least 25,000 acres of corn.

The CIBO crop inference engine uses satellite imagery to estimate the planted acres for parcels across the corn belt. We adopt cutting edge machine learning techniques to learn patterns from image and crop data, resulting in rich statistical models which we use to generate agricultural information at a large scale, such as the total planted acres of corn per county for parcels in the corn belt shown here.

*We are showing planted acres of corn for counties which were estimated to plant at least 25,000 acres of corn.

National Soybean Yield Estimate: 54.0 (bu/ac)

The big story for September was the lack of rainfall throughout most of the United States, including North and South Dakota; Central Plains, central Illinois, and Indiana. Eastern Iowa and northern Illinois did have some increased rainfall. The continued lack of rainfall likely impacted some areas as crops were reaching maturity in mid-to-late September. However, the Delta region did receive ample rainfall and thus yields in this region are predicted to be some of the highest in the US.

*We are showing yields for counties which typically plant at least 25,000 acres of soybeans based on the past ten years of crop acreage data from the USDA Farm Service Agency.

EXPLORE COUNTY NUMBERS

The CIBO crop inference engine uses satellite imagery to estimate the planting date of crops for parcels across the corn belt. We adopt cutting edge machine learning techniques to learn patterns from image and crop data, resulting in rich statistical models which we use to generate agricultural information at a large scale, such as the county-level median planting dates for corn parcels in the corn belt shown here.

*We are showing planting dates for counties which were estimated to plant at least 25,000 acres of soybeans.

The CIBO crop inference engine uses satellite imagery to estimate the planted acres for parcels across the corn belt. We adopt cutting edge machine learning techniques to learn patterns from image and crop data, resulting in rich statistical models which we use to generate agricultural information at a large scale, such as the total planted acres of soybeans per county for parcels in the corn belt shown here.

*We are showing planted acres of soybeans for counties which were estimated to plant at least 25,000 acres of soybeans.

Weather conditions in the cotton-growing regions have been drier than normal, especially in West Texas. These dry conditions have continued since the early part of the growing season resulting in delays in planting and delayed or stunted germination, and reduced yields. The dry conditions despite irrigation in some cotton-growing locations are resulting in yields that are at or below USDA averages.

*We are showing yields for counties which typically plant at least 25,000 acres of cotton based on the past ten years of crop acreage data from the USDA Farm Service Agency.