Analyze Agriculture Harvest Data from Excel

Coefficient lets you analyze agriculture harvest data from Excel files exported by farm management systems and cooperative platforms, turning columns for field IDs, crop varieties, harvest dates, and yield weights into yield analysis, crop performance comparisons, and seasonal trends.

Upload your harvest spreadsheet and ask questions in plain English—Coefficient reads the columns, calculates the metrics, and answers in seconds.

Drop your file in and ask a question — no account needed.

Upload your spreadsheet.xlsx .xls .csv — free to try, no account

Or start with

Which crop variety gave the highest yield per acre this season?What is the average growing period for each crop type?Which fields consistently produce below-average yields?How does moisture percentage at harvest correlate with final grade?What was total revenue by crop type and by buyer?

What this export contains

Field ID

Crop Type

Variety

Planting Date

Harvest Date

Acres Planted

Total Yield (lbs)

Moisture %

Grade

Buyer

Price per Unit

Revenue

Growing Days

Common questions

How do I analyze agriculture harvest data from Excel?

Upload your harvest Excel file and ask questions in plain English, such as 'Which variety had the highest yield per acre?' or 'Show revenue by buyer and crop type.' Coefficient reads the columns, calculates metrics like yield per acre, and groups results by the dimensions you specify—no formulas or pivot tables required.

How do I calculate yield per acre when the export only shows total yield and acres?

Ask to calculate yield per acre for each field, then group by crop type or variety to see average productivity. The analysis divides total yield by acres planted for every row and summarizes by the grouping you specify, showing which varieties or fields are most productive.

Can I compare this season's harvest to previous years?

Upload exports from multiple seasons and ask to compare yield by field or variety across years. The tool matches field IDs and crop types across files to show trends, identifying fields that improved or declined over time.

How do I find which fields had moisture problems?

Ask which fields harvested above a moisture threshold, such as 15%, and how that affected grade or price. The analysis filters by moisture percentage and shows the corresponding grade and revenue impact for those fields.

What if field IDs changed between seasons or some fields were split?

Describe the change—such as 'Field 12 was split into 12A and 12B in 2024'—and ask to treat them as a combined unit for historical comparison. The tool adjusts groupings based on your description.

Can I see which buyer paid the best price for each crop type?

Ask for average price per unit by buyer and crop type. The analysis groups revenue and yield data by buyer and crop, showing which buyers offered the highest rates for each crop you grew.

Try it with your own file

DataMimi reads the file you actually have — merged cells, headers below row one, totals pasted at the bottom — and shows which rows and columns every number came from.

Ask about your file