AI-Powered Crop Disease & Soil Health Intelligence.
Transforming Indian agriculture with real-time artificial intelligence.
Crop diseases silently devastate millions of farmers every season — while solutions remain out of reach.
Farmers wait days or weeks for expert consultation while diseases spread uncontrolled across entire fields.
Without precise diagnosis, farmers apply excessive chemicals — poisoning soil, water, and the food chain.
Repeated chemical overuse destroys soil microbiome, reducing fertility and long-term agricultural viability.
Rural farmers lack access to agronomists. 70% of India's farming population has no professional crop advisory.
"Every hour of delayed diagnosis costs a farmer their livelihood."
AgroSense deploys deep learning directly into the hands of every farmer — offline, multilingual, instant.
TensorFlow CNN with MobileNetV2 backbone trained on 54,000+ PlantVillage images across 38 disease classes. Achieves clinical-grade accuracy in under 30 seconds.
AgroSense is not only a crop disease detection platform but also a sustainable farming ecosystem that helps farmers maintain healthy soil and reduce environmental damage.
AgroSense helps improve soil health by:
TensorFlow Lite model runs entirely on-device. No internet required. Designed for rural India where connectivity is unreliable — full AI power in every field.
Crowdsourced disease outbreak tracking across regions
Eco-first treatment logic prioritizing organic solutions
Hindi, Tamil, Telugu, Kannada, Bengali and more
Hands-free AI guidance for farmers in the field
11 major crop categories. Thousands of disease variants. One AI platform.
Experience the full diagnostic workflow — from field to insight in under 30 seconds.
Drag & drop crop image
or tap to use camera
Run a scan to see AI diagnosis results
Diagnosis Accuracy Improvement
Pesticide Use Reduction
AI Diagnosis Time
Crop Loss Prevention / Season
The platform combines crop disease detection with soil health intelligence, making it more than just a plant scanner.
AgroSense can help prevent major crop losses by enabling early disease detection before infections spread across farms.
AgroSense is designed specifically for Indian agriculture with multilingual support, voice assistance, and farmer-friendly AI interactions.
The project directly supports United Nations Sustainable Development Goals: SDG 2: Zero Hunger, SDG 12: Responsible Consumption & Production, SDG 15: Life on Land.
Reduced groundwater contamination. Healthier soil. Sustainable yields.
AgroSense is not just a tool — it's a movement.
AgroSense is built on a foundation of environmental responsibility. Every recommendation prioritizes ecological health alongside crop yield.
Protecting crop yields ensures food security for millions of Indian families and contributes to global nutrition goals.
Precision AI reduces pesticide waste by 30–40%, promoting sustainable production patterns across agricultural supply chains.
Protecting soil microbiome and reducing chemical runoff preserves terrestrial ecosystems and biodiversity.
Two builders on a mission to transform Indian agriculture with artificial intelligence.
Architecting the neural intelligence behind AgroSense's crop disease detection engine. Deep expertise in TensorFlow, computer vision, and edge AI deployment.
+91 75184 09937Building the platform infrastructure that brings AI to every farmer's fingertips. Expert in React, FastAPI, and scalable agricultural technology systems.
+91 95485 16301At AgroSense, our aim is to empower every farmer with accessible AI technology that helps protect crops, improve soil health, reduce unnecessary chemical usage, and increase agricultural productivity through smart and sustainable farming solutions.