PestSense AI

PestSense AI – Agricultural Pest & Disease Data Collection

PestSense AI is a professional agricultural pest and disease data collection application developed by ANNAM.AI Foundation in collaboration with IIT Ropar. The application is designed for agricultural researchers, field officers, extension workers, and farmers to accurately capture, document, and manage pest and disease observations across India.

Key Features

Pest & Disease Data Collection
• Capture high-quality field images of crop pests and diseases.
• Select from more than 89 pest types and 74 disease types with English and Hindi names.
• Record infestation severity as Low, Moderate, High, or Severe.
• Identify the affected host crop from a database of over 400 crop varieties.

Smart Field Data Collection
• Automatic GPS location tagging with compass direction.
• Capture weather information, including temperature and humidity.
• Record crop planting dates for disease monitoring.
• Add field observations, spread patterns, and additional notes.

Reliable Upload System
• Background upload queue ensures data is never lost.
• Automatic retry for failed uploads.
• Offline support with automatic synchronization when internet becomes available.
• Real-time tracking of uploads for Today, This Month, and Total.

Fast Search & Dynamic Database
• Alphabetically organized pest and disease lists.
• Instant search across all available entries.
• Dynamic master lists managed from a centralized dashboard.
• Supports both English and Hindi.

Optimized for Field Use
• Complete data capture in less than 30 seconds.
• Non-blocking GPS for uninterrupted field operations.
• Remembers previous selections for faster data entry.
• Optimized for Android devices.

Supported Crops

Supports more than 400 crop varieties, including Rice, Wheat, Maize, Cotton, Sugarcane, Mustard, Chilli, Tomato, Brinjal, Potato, Groundnut, Pulses, Fruits, Vegetables, Spices, Oilseeds, Plantation Crops, and many more.

Who Can Use PestSense AI?

• Agricultural researchers and scientists
• Government field officers and extension workers
• Farmers and crop advisors
• Agricultural universities and research institutions
• Plant protection departments
• Agricultural organizations


Developed by ANNAM.AI Foundation in collaboration with Indian Institute of Technology (IIT) Ropar, Punjab, India.