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[su_large_header_text]End of Season Predicted Corn Yields (bu/ac)* [/su_large_header_text]
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CIBO National Corn Yield Estimate: 175 (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 the months of August through October. The continued lack of rainfall and drought conditions in western Iowa and central Illinois 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.
[/su_column][/su_row][su_large_header_text]End of Season Estimated Corn Planting Dates*[/su_large_header_text]
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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.
EXPLORE COUNTY NUMBERS [/su_column][/su_row][su_large_header_text]October Estimated Planted Acres of Corn*[/su_large_header_text]
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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.
EXPLORE COUNTY NUMBERS [/su_column][/su_row][su_large_header_text]End of Season Predicted Soybean Yields (bu/ac)*[/su_large_header_text]
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National Soybean Yield Estimate: 54.0 (bu/ac)
The big story for 2020 was a 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 and in October with the passage of a couple of tropical systems. 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.
[/su_column][/su_row][su_large_header_text]End of Season Predicted Soybean Planting Dates[/su_large_header_text]
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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.
EXPLORE COUNTY NUMBERS [/su_column][/su_row][su_large_header_text]End of Season Predicted Planted Acres of Soybeans*[/su_large_header_text]
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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.
EXPLORE COUNTY NUMBERS [/su_column][/su_row][su_large_header_text]End of Season Predicted Cotton Yields (lb/ac lint)*[/su_large_header_text]
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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.
EXPLORE COUNTY NUMBERS [/su_column][/su_row][su_large_header_text]End of Season Predicted County-Level Yield Forecast Infographic[/su_large_header_text]
Each month the USDA releases the WASDE to help understand at a national level how agricultural land will perform. These national numbers help provide an understanding of what is happening but CIBO enables you to zoom down to a field, county and state level to find out how local conditions affect yield. Learning which counties might have higher-than-anticipated yields allows you to plan your own harvest, including pricing, capacity, and supply-chain considerations across counties. Let CIBO’s county-level models help you make informed decisions for your farm and agribusiness. Compared to the USDA’s ten-year average, CIBO models currently predict the following yield percentage increases:
Minnesota McLeod County
Illinois McLean County
Iowa Boone County
Indiana Decatur County
Nebraska Lincoln County
Missouri Monroe County
Mississippi Humphreys County
Illinois Champaign County
Iowa Bremer County
Indiana Jasper County
Alabama Madison County
Mississippi Coahoma County
Texas Lubbock County
Arizona Pinal County
Texas Nueces County
WHY USE COUNTY-LEVEL INFORMATION
Banks & Ag Lenders
Evaluate risk, accelerate appraisals and craft new offerings based on the unique needs of your entire portfolio.
Gain insight into new markets, even when they are far away.
Buyers, Sellers & Renters
Accurately gauge how your land acquisition targets are expected to perform this season.
Negotiate better pricing and terms based upon richer analyses backed by actual, objective data.
Real Estate & Auction Houses
Accurately estimate the impact crop yields will have on your region’s crop prices and land value.
Provide complete field and parcel details to clients all in one place without having to hunt them down from county, state and owner registries.
CIBO blends comprehensive weather data with state-of-the-art seasonal predictions to simulate weather scenarios for the upcoming planting season, helping you make smarter decisions for your farm or agribusiness. CIBO delivers objective, science-driven intelligence about land at the parcel level, at a national scale and without requiring local data to be input by farmers. This information drives efficiencies in land and related markets by connecting participants to objective information, and to each other.
Uncover County-Level Yield and Field Insights by Downloading CIBO's End of Season County-Level Crop Yield Forecast.
Download the Report CIBO leverages agronomic simulations to generate forecasts.
CIBO delivers the capability to gain forecasting insight on agricultural land performance on a county by county and field by field level. Users can blend observed weather data with state-of-the-art seasonal predictions to simulate a range of possible weather scenarios for the new planting season. The platform uses agronomic simulations to predict crop development, from planting to harvest, under a variety of forecast weather scenarios and management strategies.
The USDA regularly announces national yield insights. Those national reports tell you what will likely happen, CIBO’s capability is the first to tell you where and why it is likely to happen. This insight creates new opportunities for actionable and hyper-local farming, agribusiness, sustainability and trading decision-making.
Our forecasts are run through our breakthrough modeling and simulation technology. To understand what this means to you, please click here.
