CROPSAP Crop Pest Surveillance & Advisory (Maharashtra)

CROPSAP Crop Pest Surveillance & Advisory (Maharashtra)

MH Specific

Real-time crop pest and disease incidence monitoring for 66+ crops across Maharashtra. Part of the Crop Pest Surveillance and Advisory Project, providing field-level pest outbreak data used by 10,000+ extension workers for WhatsApp-based advisories to farmers.

Build a pest outbreak prediction model for Maharashtra using historical surveillance data and weather correlations.
Homepage

Quick Start

# CropSAP Maharashtra pest surveillance data
import pandas as pd
df = pd.read_csv('cropsap_data.csv')
print(f"Records: {len(df)}")
print(df.groupby('Pest')['District'].count().sort_values(ascending=False).head(10))
Modality
tabular
Size
66+ crops; real-time pest/disease incidence; district-level
License
Format
Tabular
Language
en, mr
Update Frequency
real-time
Organization
Maharashtra Agriculture Department
Category
agriculture-rural

Schema

FieldTypeDescription
districtstringDistrict name in Maharashtra
cropstringCrop name
peststringPest or disease identified
severitystringSeverity level
datedateSurveillance date

Build With This

Create an early warning system for pest outbreaks in Maharashtra that sends SMS alerts to farmers in affected areas
Develop a pest-weather correlation model that predicts pest emergence based on temperature and humidity patterns
Build a pesticide recommendation engine that suggests targeted treatments based on pest type and crop stage

AI Use Cases

Early pest outbreak detection and predictionAutomated crop advisory generationPest migration pattern analysisIntegrated pest management optimization
Last verified: 2026-03-09