The Agriculture Dashboard in Google Sheets turns crop records into a clear picture of revenue, cost, profit, production and yield per acre. Farm owners, agribusiness managers and agricultural consultants can see which regions, crops, soil types, fertilizers and seasons perform best without building a single chart themselves.
The dashboard has five pages: Overview, Region Analysis, Cost vs Revenue Analysis, Crop vs Soil Analysis and Monthly Trends. Eight slicers (Month, Region, State, Crop Type, Season, Soil Type, Irrigation Type and Fertilizer Type) sit on the right of every page, so one click narrows all the charts to the slice of the farm business you care about.
This guide explains each page using the numbers in the template’s sample data, shows how to cross-check the key figures and lists the steps for loading your own farm records.
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What Problem Does the Agriculture Dashboard Solve?
Farm data piles up quickly: area sown, crop type, soil type, irrigation method, fertilizer used, production in quintals, cost and revenue for every plot and season. In a plain spreadsheet, comparing Kharif with Rabi or clay soil with sandy soil means building pivot tables by hand, and few people find time to do it.
This dashboard does that grouping for you. Each record in the data sheet is summarised into cards and charts, and the slicers let you ask follow-up questions on the spot. For example: “Which fertilizer gives the best yield on loamy soil in the Rabi season?”
It is designed for:
- Farm owners and commercial farming businesses
- Agribusiness companies and farm cooperatives that manage several regions
- Agricultural consultants and analysts who prepare performance reports
- Crop production managers who plan inputs by season and soil
KPI Cards on the Overview Page
| KPI card | Sample value | What it tells you |
|---|---|---|
| Revenue USD | $8.0M | Total sales value of all crops in the current filter |
| Total Cost USD | $2.8M | Total cultivation cost for the same records |
| Profit USD | $5.2M | Revenue minus cost |
| Total Production (Quintals) | 275.2K | Total harvested output |
| Avg. Yield per Acre (Quintals) | 21.7 | Average output per acre across the filtered records |
Page-by-Page Walkthrough
1. Overview
Below the five cards, the Overview page shows four charts:
- Total Production (Quintals) by Region: a pie chart across Central, East, North, South and West
- Avg. Yield per Acre (Quintals) by Soil Type: Black 21.1, Clay 22.0, Loamy 22.3, Sandy 21.9, Silt 21.5
- Total Cost USD by Season: Kharif $939.6K, Rabi $907.7K, Zaid $973.1K
- Revenue USD by Fertilizer Type: an area chart covering DAP, Mixed, NPK, Organic and Urea
2. Region Analysis
This page compares the five regions on Revenue USD, Profit USD, Area Cultivated (Acres) and Total Production (Quintals). In the sample, East leads with $1.9M revenue, $1.2M profit, 2.9K acres and 65.4K quintals. West trails with $1.1M revenue, $671K profit, 1.9K acres and 37.3K quintals.
3. Cost vs Revenue Analysis
Four charts on this page show what drives output and income:
- Avg. Yield per Acre by Season: Kharif 21.3, Rabi 22.1, Zaid 21.8
- Revenue USD by Crop Type: Cotton, Maize, Pulses, Rice, Soybean, Sugarcane, Vegetables and Wheat, with Pulses and Rice highest at about $1.3M each
- Total Production by Season: Kharif 88.5K, Rabi 94.4K, Zaid 92.3K quintals
- Avg. Yield per Acre by Fertilizer Type: DAP 22.3, Mixed 20.4, NPK 20.9, Organic 22.8, Urea 22.2
4. Crop vs Soil Analysis
This page puts crops and soils side by side: Revenue USD by Crop Type, Profit USD by Crop Type, Area Cultivated (Acres) by Soil Type and Total Production (Quintals) by Soil Type. Clay soil covers the largest area (2.8K acres) and produces the most (60.0K quintals). Rice ($846.4K) and Pulses ($844.9K) are the most profitable crops in the sample.
5. Monthly Trends
The final page tracks Revenue, Profit, Area Cultivated and Total Production by month. August is the strongest month in the sample, with $813.4K revenue, $533.5K profit and 28.4K quintals. February is the weakest for production at 17.0K quintals. Use this page to plan labour, storage and cash flow around the busy months.
Worked Example: Cross-Checking the Numbers
A quick sanity check builds trust in any dashboard. Profit on the Overview should equal revenue minus cost:
Profit = Revenue − Total Cost = $8.0M − $2.8M = $5.2M
Profit margin = $5.2M / $8.0M = 65%You can also estimate yield for a single region from the Region Analysis charts:
East yield ≈ Production / Area = 65.4K quintals / 2.9K acres ≈ 22.6 quintals per acre
West yield ≈ 37.3K / 1.9K ≈ 19.6 quintals per acreThat three-quintal gap between East and West is a useful starting point. Filter the dashboard to West and check which soil types and fertilizers it uses compared with East.
Remember that the sample data is illustrative. Your own figures will produce different results.
How to Use It With Your Own Data
- Open the data sheet and review the columns the charts use: month, region, state, crop type, season, soil type, irrigation type, fertilizer type, area cultivated, production, cost and revenue.
- Replace the sample rows with your own records, one row per plot or crop cycle.
- Keep units consistent: acres for area, quintals for production and one currency for cost and revenue. The charts label money as USD.
- Use the same spelling for categories every time (for example “Kharif”, not “kharif season”).
- Open the Overview and check that the cards match your own totals.
- Use the slicers to compare regions, soils, fertilizers and seasons.
- Add new records each month so the Monthly Trends page stays current.
Three Real-World Use Cases
Fertilizer purchasing decisions
A farm manager filters by soil type and compares Avg. Yield per Acre by Fertilizer Type before placing the next season’s order. That way, purchases follow measured yield rather than habit.
Cooperative regional reviews
A cooperative with members in five regions uses the Region Analysis page at its quarterly meeting to show which regions earn the most profit per acre and where to target extension support.
Season planning for an agribusiness
An agribusiness compares cost and production for Kharif, Rabi and Zaid to decide which crops to expand next year and how much working capital each season needs.
Best Practices
- Record actual harvested quantities, not estimates, so yield figures stay honest.
- Separate cost and revenue by crop cycle. Do not mix two seasons in one row.
- Validate acreage. A typing error in area cultivated distorts yield per acre more than any other field.
- Compare like with like. Use the Season and Crop Type slicers together before you draw conclusions about fertilizers.
- Keep a copy each year so you can compare yearly results side by side.
Limitations
- It analyses data you enter. It does not connect to weather services, soil sensors or market prices.
- It reports results, not causes. A higher yield for one fertilizer may also reflect soil, rainfall or crop mix, so use the slicers to control for those.
- Very small farms with a handful of records may find a simple tracker enough.
Related Templates and Further Reading
The same dashboard is also available as an Agriculture Dashboard in Excel and an Agriculture Dashboard in Power BI. For target-based tracking, see the Agriculture KPI Dashboard in Google Sheets. For other farm views, try the Farm Production and Profitability Dashboard, the Agriculture Farm Dashboard and the Smart Agriculture KPI Dashboard.
If you want to learn to build slicer-based dashboards like this one, the Pivot Tables & Dashboards course on NextGenTemplates Academy teaches the approach with structured lessons.
Frequently Asked Questions
What pages are included in the Agriculture Dashboard in Google Sheets?
Five pages: Overview, Region Analysis, Cost vs Revenue Analysis, Crop vs Soil Analysis and Monthly Trends.
Which filters can I use?
Eight slicers: Month, Region, State, Crop Type, Season, Soil Type, Irrigation Type and Fertilizer Type.
Which seasons does the template use?
Kharif, Rabi and Zaid, the main Indian cropping seasons. You can enter other season names if your region uses different ones.
Can I use a currency other than USD?
Yes. Enter all amounts in one currency. The chart titles say USD, so edit those labels if you switch currency.
Do I need coding skills to use it?
No. You paste or type records into the data sheet, and the cards and charts update. No scripts or formulas need editing.
How is profit calculated?
Profit is revenue minus total cost. In the sample, $8.0M revenue minus $2.8M cost gives $5.2M profit.
Wrapping Up
The Agriculture Dashboard in Google Sheets gives growers and agribusinesses a fast way to see where profit and yield come from: by region, crop, soil, fertilizer, season and month. Load a season of records, cross-check the cards, then use the slicers to find your best-performing combinations.
📅 Last updated: October 2026
