MNCFC Crop Forecasting

MNCFC Crop Forecasting

Mahalanobis National Crop Forecast Centre district/state-level forecasts for 9 major crops using optical and microwave remote sensing data

Build a crop production forecasting model for Maharashtra that improves on MNCFC estimates using satellite and weather data fusion.
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Quick Start

# MNCFC crop forecasting data
import pandas as pd
df = pd.read_csv('mncfc_forecast.csv')
mh = df[df['State'] == 'Maharashtra']
print(f"Maharashtra forecasts: {len(mh)}")
print(mh.groupby('Crop')['Forecast_Production'].sum().sort_values(ascending=False).head())
Modality
Tabular/raster (reports)
Size
District-level; seasonal bulletins
License
Format
GeoTIFF
Language
en
Update Frequency
static
Organization
Mahalanobis National Crop Forecast Centre

Schema

FieldTypeDescription
statestringState name
cropstringCrop name
forecast_areafloatForecasted area in thousand hectares
forecast_productionfloatForecasted production in thousand tonnes
seasonstringCropping season

Build With This

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AI Use Cases

Crop acreage estimationproduction forecastingfood security early warning
Last verified: 2026-03-07