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AQUABASAQUACULTURE INTEL
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Project ledger  ·  Mul Biotech Farms  ·  2026
States covered28
Power BI reports4
AQUACULTURE, WATER RESOURCES & FISHERIES INTELLIGENCE · INDIA

A working view of species, water & sustainability across Indian aquaculture.

Four independent research workbooks — species & risk intelligence, inland production economics, water-resource sustainability, and water-quality monitoring — covering 28 states, each built by a different contributor at Mul Biotech Farms.

STATES COVERED28core states across all four modules
SPECIES TRACKED32fresh + brackish + marine + cold-water
WATER QUALITY PARAMETERS11pH to heavy metals, vs BIS limits
RESEARCH DATA TABLES27across the four workbooks
POWER BI REPORTS4one per contributor
01 — LIVE REPORTS

Four Power BI dashboards

Select a module below and download its .pbix file — open it in Power BI Desktop to explore the full interactive report.

MODULE 01 · ROSHAN MIHAVEL

Aquaculture Production & Species Performance Dashboard

Species diversity, farming systems, production volume, water quality, economics, hatchery & seed capacity, market price, risk and advantage/constraint intelligence across 28 states — 32 species, 56 state-level risk records and 224 advantage/constraint entries.

↓ Download Aquaculture Production & Species Performance
◉
Production & Species PerformanceOpen the package in Power BI Desktop, or publish it and swap this panel for the live embed URL.
MODULE 02 · ABHAY JAISWAL

India Inland Aquaculture Intelligence Dashboard

State-wise inland fish production, water resources, infrastructure, seed production, species-wise output, economics and PMMSY government scheme funding across 28 states.

↓ Download India Inland Aquaculture Intelligence
◌
Inland Aquaculture IntelligenceOpen the package in Power BI Desktop, or publish it and swap this panel for the live embed URL.
MODULE 03 · ANIRUDDH SHEDGE

Aquaculture Sustainability Dashboard: Resource Utilization & Risk Analysis

Water resource base, actual-vs-potential utilization trends, a multi-year sustainability risk matrix, future resource potential and institutional investment (PMMSY / NFDB) tracking across 28 states.

↓ Download Aquaculture Sustainability: Resource Utilization & Risk Analysis
◈
Sustainability & Risk AnalysisOpen the package in Power BI Desktop, or publish it and swap this panel for the live embed URL.
MODULE 04 · GULSHAN GUPTA

Aquaculture & Water Intelligence Dashboard

A registry of monitored reservoirs, ponds and hydrological stations, plus pH, dissolved oxygen, BOD, COD, TDS, turbidity and heavy-metal readings checked against BIS drinking-water standards across 8 states.

↓ Download Aquaculture & Water Intelligence
◇
Aquaculture & Water IntelligenceOpen the file in Power BI Desktop, or publish it and swap this panel for the live embed URL.
02 — ARCHITECTURE

Four workbooks, four data models

Each contributor built and cleaned their own workbook independently — no shared schema. Every table below is joined internally on State.

MODULE 01 · ROSHAN

Production & Species Performance

  • dim_state — 28 states
  • State · Region
  • Contributor · SourceSheet
Fact_Species_DiversityState · Species · Culture environment100 rows · 32 species
Fact_System_AreaState · Dominant farming system · Estimated area/units28 rows
Fact_Production_VolumeState · Total production28 rows
Fact_Water_QualityState · Water type · Temp/pH/DO range28 rows
Fact_EconomicsState · Dominant system · Input cost · Output value30 rows
Fact_Hatchery_SeedState · Hatchery base · Seed capacity · Peak season28 rows
Fact_Market_PriceState · Key species · Farm-gate price (₹/kg)28 rows
Fact_RisksState · Risk type · Detail56 rows
Fact_AdvantagesConstraintsState · Type · Detail224 rows
MODULE 02 · ABHAY

Inland Aquaculture Intelligence

  • 28 states
  • Source: PIB / DoF handbook
Inland ProductionState · Year · Production (tonnes) · Growth % · Value · Rank28 states
Inland Water ResourcesPond · Tank · Reservoir · Lake area · River/canal length28 states
Aquaculture InfrastructureHatcheries · Seed farms · Feed mills · Cold storages · Ice plants28 states
Fish Seed ProductionSeed production · Hatchery capacity · Requirement · Availability28 states
Species-wise ProductionCarp · Catfish · Tilapia · Pangasius · Trout · Prawn · Other28 states
EconomicsProduction value · Farm-gate price · Employment28 states
Government SchemesPMMSY approved cost · Central share · Released funds · Beneficiaries28 states
MODULE 03 · ANIRUDDH

Sustainability: Utilization & Risk

  • 28 states
  • Source: DoF / MPEDA / ICAR
Water Resource BaseRivers/canals · Ponds/tanks · Reservoirs · Wetlands · Brackish/saline area28 states
Resource Utilization TrendYear · State · Water-body type · Potential vs used area · Utilization %259 rows
Sustainability RiskYear · State · Culture system · Risk category · Risk score (1-3)496 rows
Future Potential & PracticesUntapped potential · Recommended practice · Certification · Target year28+ rows
Institutions & InvestmentsPMMSY / NFDB allocation · Outlay · Beneficiaries · Status~20 rows
MODULE 04 · GULSHAN

Aquaculture & Water Intelligence

  • 8 states
  • Source: CPCB / CGWB / APWRIMS
State_Water_BodiesYear · State · District · Water body type/name · Storage capacity108 rows
Water_QualityDate · Water body · Parameter · Value · Standard limit · Status114 readings · 11 parameters
State_Quality_SummaryYear · State · Avg pH/DO/BOD/COD/TDS/Turbidity · Site status counts209 rows
State_IntelligenceYear · State · Water body totals · Quality % breakdown208 rows
Reference_StandardsParameter · BIS min/max limit · CategoryBIS IS 10500:2012
Source_MetadataDataset · Source org · Coverage · Collection methodSource documentation
03 — ENGINEERING

From official records to four decision-ready workbooks

Each contributor took government and institutional sources through the same seven stages, independently, to reach a clean Power BI-ready workbook.

01
🛰️

Collect

Each contributor researched their assigned states into a shared 29-tab workbook, pulling from PIB, DoF Handbook of Fisheries Statistics, CPCB, CGWB, APWRIMS, MPEDA, ICAR institutes and PMMSY records.

02
⇩

Ingest

Import state-wise and year-wise records from government portals and handbooks into a working Excel layer.

03
🧹

Clean

Handle missing states, blank readings, inconsistent state/UT naming and duplicate entries across years.

04
✓

Validate

Check production totals, water-quality readings against BIS limits, and utilization percentages against source formulas.

05
⚙

Transform

Standardize species names, state/region labels, units, risk scores and quality-status categories.

06
◈

Analyze

Generate production trends, sustainability risk scores, utilization rates and water-quality compliance status.

07
▦

Visualize

Deliver four independent Power BI dashboards — one per contributor, one per data model.

04 — REPOSITORY

Everything in one package

The four Power BI files, four cleaned data workbooks, and the website source, all bundled together.

📊Aquaculture Production & Species Performance dashboard.pbixAquaculture Production & Species Performance dashboard package56 KB · powerbi/↓ Download
📊India Inland Aquaculture Intelligence dashboard.pbixIndia Inland Aquaculture Intelligence dashboard package128 KB · powerbi/↓ Download
📊Aquaculture Sustainability dashboard.pbixAquaculture Sustainability dashboard package143 KB · powerbi/↓ Download
📊Aquaculture & Water Intelligence dashboard.pbixAquaculture & Water Intelligence dashboard142 KB · powerbi/↓ Download
🗃️farming_and_species.xlsxAquaculture Production & Species Performance source data — 9 tables, 28 states36 KB · data/↓ Download
🗃️Inland_aquaculture.xlsxIndia Inland Aquaculture Intelligence source data — 7 sheets, 28 states36 KB · data/↓ Download
🗃️dashboardready_dashboard_ready_final.xlsxAquaculture Sustainability source data — 5 sheets, 28 states72 KB · data/↓ Download
🗃️India_Water_Quality_Resource_Monitoring_Report_2026.xlsxAquaculture & Water Intelligence source data — 6 sheets, 8 states72 KB · data/↓ Download
🗂️index.html · css/ · js/This website — source files~35 KB · rootView
05 — TEAM

Four Researchers, one mentor

Each of the four dashboards was researched and built by a different contributor, working under the same mentor at Mul Biotech Farms.

R

Roshan Mihavel

Researcher · Mul Biotech Farms

Aquaculture Production & Species Performance dashboard

AJ

Abhay Jaiswal

Researcher · Mul Biotech Farms

India Inland Aquaculture Intelligence dashboard

AS

Aniruddh Shedge

Researcher · Mul Biotech Farms

Aquaculture Sustainability dashboard

GG

Gulshan Gupta

Researcher · Mul Biotech Farms

Aquaculture & Water Intelligence dashboard

SR
Soumodip Atanu RoyProject Mentor · Mul Biotech Farms
06 — SETUP

Run it yourself

Open the website locally, then open any dashboard in Power BI Desktop.

1

Open the website

Extract this folder and double-click index.html — no server or build step needed.

2

Pick a dashboard

Go to Live Reports, choose a module, and download its .pbix package.

3

Extract if zipped

All four Power BI reports are stored as single .pbix files — no extraction is required.

4

Open in Power BI Desktop

Double-click the .pbix file. Power BI Desktop is free from Microsoft if not already installed.

5

Optional: publish for a live embed

Publish the report to Power BI, then replace a module's preview panel with an <iframe> using that report's embed URL.

<iframe src="YOUR_EMBED_URL" width="100%" height="480"></iframe>

07 — CREDITS & ATTRIBUTION

Built under Mul Biotech Farms

ORGANISATION

Mul Biotech Farms

Aquaculture Intelligence Platform · India, 2026
PROJECT MENTOR

Soumodip Atanu Roy

Mul Biotech Farms
RESEARCH & DASHBOARD TEAM
  • Roshan Mihavel — Aquaculture Production & Species Performance dashboard
  • Abhay Jaiswal — India Inland Aquaculture Intelligence dashboard
  • Aniruddh Shedge — Aquaculture Sustainability dashboard
  • Gulshan Gupta — Aquaculture & Water Intelligence dashboard
This dashboard and its underlying datasets are a demo project built under Mul Biotech Farms. Data shown is sample/demo data — not live production, market or sensor data. If you share, cite, or build upon this work, please credit Mul Biotech Farms and the contributing team.

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